Artificial intelligence (AI)

OPSWAT, a global pioneer in critical infrastructure protection established in the U.S., announced its acquisition of Fend Incorporated. Fend is a pioneering data pipeline and cybersecurity company dedicated to securing operational technology (OT) against cyber threats, ransomware, and other evolving risks. Based in Arlington, Virginia, Fend is known for its expertise in protecting U.S. government agencies, utilities, oil and gas, manufacturing, and other critical industries where air-gapped environments are essential for defense against cyber incidents. Fend’s data diode technology Fend’s data diode technology creates a secure one-way transmission channel, allows data to flow The announcement establishes OPSWAT as providing the most comprehensive variety of Data Diodes and Unidirectional Gateways in the industry that utilises proprietary technology like Multiscanning with up to 30 anti-virus engines, Deep CDR™ for zero-day threats, Sandboxing, and Proactive DLP™ technologies prevent sensitive data leakage.  Fend’s data diode technology creates a secure one-way communication channel, allowing data to flow from one network to another while physically blocking reverse transmission. This hardware-based approach is valued in high-security environments like defense, industrial control systems, and critical infrastructure, where preventing external access is paramount. Secure online monitoring Originally reserved for sensitive applications such as nuclear power plants, data diode technology has evolved to become more accessible and affordable, making it a practical solution for industries that require secure online monitoring and predictive analytics. With benefits such as increased operational efficiency, reduced unexpected downtime, and improved staff productivity, Fend’s data diodes offer protection across diverse industrial sectors.   “Fend’s solutions are a strategic addition to our portfolio, allowing OPSWAT to deliver unparalleled security for customers’ most critical assets,” said Benny Czarny, CEO and Founder of OPSWAT. “This strategic move broadens OPSWAT’s existing product offering that includes high-speed data diodes and unidirectional gateway solutions to mobile, cell-based, cloud-based, and ruggedised products to support more critical infrastructure needs.”  Unmatched security for critical infrastructure  Trafalgar Capital Partners with a focus on the technology, media, and telecommunications drives “Joining OPSWAT represents a significant opportunity for Fend, allowing us to offer customers an even broader range of cyber defences,” said Colin Dunn, CEO and Founder of Fend. “Together, we can provide unmatched security for critical infrastructure around the globe, ensuring resilience against sophisticated cyber threats.” Trafalgar Capital Partners, an M&A advisor with a focus on the technology, media, and telecommunications industries, helped facilitate the transaction. Solutions for secure data transfer "We’re proud to have supported Fend Incorporated through this transaction with OPSWAT,” said Frantz Casseus, Founder & Managing Director of Trafalgar Capital Partners.  “By integrating Fend’s pioneering, cutting-edge data diode technology, OPSWAT is poised to deliver unparallelled solutions for secure data transfer and advanced threat protection, enhancing its leadership in critical infrastructure.”  OPSWAT’s capabilities MetaDefender Kiosk and MetaDefender Managed File Transfer to help secure solutions for remote assets OPSWAT’s industrial OT offerings significantly expanded with its 2021 acquisition of Bayshore Networks. The acquisition of Fend further enhances OPSWAT’s capabilities in both centralised and distributed deployments, providing true cross-domain security with connectivity to the MetaDefender Kiosk and MetaDefender Managed File Transfer to help secure solutions for remote assets and smaller facilities, such as water utilities, which have large numbers of endpoints at the edge that still require high security. Fend’s comprehensive connectivity options Fend’s comprehensive connectivity options—accommodating Ethernet, cellular, and even serial connections for older networks—will enable OPSWAT to meet both the demands of emerging technologies such as 5G and Industry 4.0 and the vast landscape of legacy infrastructure around the world. To see the comprehensive options of OPSWAT’s variety of data diodes and unidirectional gateways. This announcement builds on OPSWAT’s strategic growth momentum, following its acquisition of InQuest earlier this year.

PureTech Systems Inc., a pioneer in geospatial AI-boosted video analytics for wide-area perimeter and border security, is proud to announce the launch of its Rapid Deploy Autonomous Perimeter Surveillance System (RDAPSS) configured for Drone detection and tracking.  Designed to meet the demands of rapid, flexible security deployments, the RDAPSS delivers unmatched autonomous surveillance and can be equipped with an advanced sensor suite, including counter-drone capabilities. PureTech’s system features RDAPSS is an all-in-one, self-powered solution for organisations requiring reliable drone detection The RDAPSS is an all-in-one, self-powered solution for organisations requiring immediate, reliable drone detection and awareness either as an addition to an existing security system or as a new standalone system. The system features PureTech’s patented AI-boosted video analytics for a near 100% autonomous detection of humans, drones, animals and vehicles, with a near-zero nuisance alarm rate. The RDAPSS adapts to diverse mission profiles, including critical infrastructure protection, border control, special events and temporary facility monitoring. Key features of RDAPSS Rapid Deployment: Designed for ease of transport and installation, RDAPSS can be fully operational within minutes. AI-Boosted Perimeter Surveillance: Equipped with PureTech’s PureActiv® software, RDAPSS delivers real-time, autonomous detection and tracking of targets of interest. Multi-Sensor Integration: Supports a tailorable sensor suite, including radar, cameras, and RF sensors for maximum threat detection. Counter-Drone Capabilities: Detects, identifies, and tracks drones to help mitigate unauthorised aerial threats. Scalable: Operates independently or as part of a larger surveillance network, enhancing operational flexibility. Advanced sensor integrations “As security challenges continue to evolve, the need for adaptable, autonomous surveillance solutions has never been greater,” said Larry Bowe, President of PureTech Systems. He adds, “The RDAPSS combines rapid deployment with advanced sensor integrations and AI-boosted video analytics to address emerging threats, including the growing risks posed by drone intrusions.” RDAPSS empowers security teams With its customisable sensor suite and counter-drone capabilities, RDAPSS empowers security teams to detect and mitigate ground and aerial threats with unmatched precision and efficiency.

Global cybersecurity firm Performanta celebrates the recognition of its Head of Security Automation, Torvald Johnson, as one of Microsoft’s first Security Copilot Most Valuable Professionals (MVPs). The first of only 10 Security Copilot MVPs worldwide, Johnson has been recognised for his practical expertise, leadership and guidance across the cybersecurity sector and wider industries, and commitment to pursuing a future of cyber safety. Performanta’s cyber innovation “It is an absolute honour to be named among the world’s first Security Copilot MVPs by Microsoft,” stated Johnson. “Microsoft’s powerful solutions and Performanta’s dedication to driving cyber innovation create a partnership that can only benefit our sector and customers. It is a mission I am proud and grateful to be a part of. I must extend my sincere thanks to Rod Trent and James Key at Microsoft, both resolute and passionate experts we have the pleasure to work with, for recommending me as an MVP.” Innovation with Microsoft products Microsoft MVPs are selected not only for their expertise and innovation with Microsoft products Microsoft MVPs are selected not only for their expertise and innovation with Microsoft products, but also for the demonstration of exceptional leadership, industry impact, and proactive efforts to support and expand the broader community.  Microsoft MVP candidates are selected exclusively through nominations from within Microsoft before they are put through a rigorous judging process. What cybersecurity solutions are capable of? Guy Golan, Founder and Executive Chairman of Performanta said, “Torvald’s appointment as one of the first MVPs for Security Copilot is a huge achievement, on both an individual and company level." "Together, our work pushes the possibilities of what cybersecurity solutions are capable of. Recognition of this regard provides us with Microsoft’s stamp of approval and the credibility of knowing we have world-pioneering cyber professionals guiding our customers, at a time when businesses face rising digital threats. As our partnership with Microsoft continues to grow, we are excited to work together to pave the way to a safer digital environment for all.” Microsoft Security products Johnson is a donor to cyber events and a written host on emerging cybersecurity trends With a rich background working with Microsoft Security products like Defender and Sentinel, Johnson now specialises in Microsoft Security Copilot, using the AI-enabled solution and Safe XDR platform to cut incident response time from days to minutes.  Alongside his work, Johnson is a regular contributor to pioneering cyber events and regular written commentator on emerging cybersecurity trends. Johnson is the second member of the Performanta team to achieve the status of Microsoft MVP. Application of Security Copilot Performanta and Microsoft collaborate closely to drive innovation in the application of Security Copilot. Johnson recently spoke alongside James Key, Microsoft’s Principal Product Manager for Security Copilot, on the future of cybersecurity and AI at a joint Cyber AI Summit in December. He expressed an optimistic view of the industry’s future, innovations to cyber tools such as Safe XDR, and continued partnership.

Alibaba Cloud, the digital technology and intelligence backbone of Alibaba Group, has been recently named a pioneer in The Forrester Wave™: Public Cloud Platforms Q4 2024 report. Alibaba Cloud believes this designation recognises its depth of its cloud and AI offerings and strategy, its significant global presence, as well as the ability to provide its global customers with a wide range of products and services. This is the first time Alibaba Cloud has been recognised as a pioneer among other significant public cloud platform providers in this report.  AI innovation with AI models Alibaba Cloud is named one of four pioneers among nine global vendors evaluated in Forrester’s report Alibaba Cloud is named one of four pioneers among nine global vendors evaluated in Forrester’s report, with the second highest scores in the current offering and strategy categories.  The report states that Alibaba Cloud showed its capacity for AI innovation with homegrown AI models, breadth of foundation model choices and model-as-a-service (MaaS) innovation. The report also states that the core infrastructure and model-as-a-service capabilities enable Alibaba Cloud to provide a major model repository for AI across China.  Cloud-native infrastructure “Alibaba has upped the ante on serverless beyond AI, packaging its powerful cloud-native infrastructure into more accessible offerings for both developers and operators, with data and analytics as a stand out,” said Forrester in the report. “Alibaba is a good fit for Chinese-based enterprises or international corporations requiring cloud scale across APAC and parts of Africa, Europe, and Latin America,” the report added. AI development services The Forrester report is a 30-criterion evaluation of the nine most significant public cloud platform providers The Forrester report is a 30-criterion evaluation of the nine most significant public cloud platform providers. Each provider is evaluated on the strengths of their current offerings, strategy and market presence. Alibaba Cloud has achieved the highest possible assessment score (5.0 out of 5.0) in 17 criteria, including database, data integration and governance services, container and Kubernetes services, serverless/FaaS services, compute, IoT, storage services as well as AI development services.  AI capabilities “Expanding our cloud-native infrastructure and AI capabilities in the public cloud space to better support our clients is a top priority. We are honoured to be recognised by Forrester for our efforts in this critical area,” said Jingren Zhou, Chief Technology Officer of Alibaba Cloud Intelligence.  “To address the increasing demands of AI, we are dedicated to continuously enhancing our ability to provide accessible, scalable, and reliable cloud products and AI applications to our customers.” Demands for robust AI computing Qwen, Alibaba Cloud’s large language model, has seen significant adoption since its intro in April 2023 At Apsara Conference 2024, Alibaba Cloud’s annual flagship event hosted in September, Alibaba Cloud unveiled a revamped full-stack infrastructure designed to meet the growing demands for robust AI computing. It also released over 100 of its newly-launched large language models, Qwen 2.5, to the global open-source community.  Qwen, Alibaba Cloud’s proprietary large language model, has seen significant adoption since its introduction in April 2023. The Qwen models have been downloaded over 40 million times on open-source platforms such as Hugging Face and ModelScope, and have inspired the creation of more than 78,000 derivative models. AI model community As a creator of the MaaS concept and an advocate of open source, Alibaba Cloud also build ModelScope, China’s biggest AI model community. It hosts over 10,000 models and serves more than 8 million developers.  On the global presence, Alibaba Cloud continues to expand its global reach, currently operating 85 data centres in 28 regions globally. In May 2024, Alibaba Cloud announced its plan to launch its first cloud region in Mexico, and to establish additional data centres in its key markets, including Malaysia, the Philippines, Thailand, and South Korea, in the next three years.

A survey conducted by Blackhawk Network finds the average shopper plans to spend almost half of their holiday budget to buy gift cards this year versus only 39% in 2023. The global gift card market was valued at $1.3 billion USD in 2023, and it is projected to reach more than $5.2 billion USD by 2032. Integrity of gift card programs While gift cards continue to be top of mind for consumers for streamlined gifting, gift card fraud is a growing concern for consumers and businesses alike. According to the U.S. Department of Homeland Security’s Homeland Security Investigations (HSI) unit, gift card fraud, perpetrated by Chinese and other organised retail theft (ORT) rings, can be attributed to losses in the hundreds of millions of dollars globally, and is being used to fund other illicit crimes such as drug and human trafficking. The retailers implement procedures to mitigate attacks. Using data insights to detect emerging threats and identify hidden connections is among the ways retailers can protect the integrity of their gift card programs. How gift card fraud is manifested Typical physical gift card scheme involves purchasing items using stolen credit cards  Gift card fraud occurs both at physical locations and online. A typical physical gift card scheme involves purchasing items using stolen credit cards and then returning the items for store credit or gift cards. While some stores have strict and well-enforced return policies to ensure that only customers entitled to refunds receive them, fraudsters employ fake tracking ID (FTID) tactics that focus on bypassing identification checks during returns, enabling them to return stolen merchandise or exploit refund policies.  They use a combination of fake IDs and altered receipts or rely on lax return processes to achieve their goals. Once gift cards are obtained, criminals can sell them at a discount or use them for personal purchases, effectively converting stolen goods or false claims into untraceable funds. Tactics to convince consumers One tactic involves draining a gift card by obtaining the barcode, Card Verification Value (CVV) number, personal identification number (PIN), or activation code from beneath the slim cardboard packaging. Once they obtain the code(s) from physical cards, they reseal them, monitor online for consumers to buy and load the cards, then spend the balances before the consumers can. Some merchants have sought to combat this by keeping store-branded gift cards behind the checkout counter, handing them out after purchase. However, this approach can be costly and inconvenient for both retailers and customers, as it requires additional resources for in-store management and potentially slows the purchasing process. Other online tactics involve people who misrepresent themselves in a variety of phishing scams to convince consumers to purchase gift cards, then provide the card details to others who then drain the cards. Scammers tell the victim which gift card to buy (and where). They might say to put money on a card for an online store, a streaming service, or a specific retail store. These scammers often work as part of an organised crime network. Retailers leveraging open info, AI, to combat gift card fraud Retailers are certified to improve the monitoring and analysis of gift card trade patterns A growing number of retailers are leveraging publicly available (PAI) and hard-to-reach data and analytics to extract key insights that help fight various forms of gift card fraud and stay ahead of evolving fraud tactics. With such tools, retailers are empowered to improve the monitoring and analysis of gift card transaction patterns, identify anomalies, and implement proactive measures to prevent fraudulent activities before they can impact consumers and sales revenues. Retailers need this type of approach in their efforts to battle scammers, who continue to refine tactics for draining gift cards and committing other types of retail fraud. Beyond simply refining their techniques, fraudsters continue to advance their use of technology to commit their crimes. For example, cybercriminals also use bots to perform brute-force attacks on gift card websites. They are increasingly using AI to perpetrate gift card fraud. Latest versions of AI and LLMs Retailers need to continually upgrade their fraud-fighting strategies and technologies as well. They can lean into PAI and analytics, in conjunction with existing security operations and investigations, to safeguard the integrity of their gift card programs and demonstrate their commitment to customers, reinforcing brand trust. In addition to leveraging the latest versions of AI and large language models (LLMs), retailers can take advantage of open-source intelligence (OSINT). By leveraging PAI and difficult-to-obtain data with analytics, brands are using OSINT to more quickly seize on evolving threat patterns to recognise current and shifting fraud schemes and stay ahead of evolving fraud tactics. In this way, the AI operates as a resource multiplier, compiling and processing data at faster-than-human speeds, while enabling the ability to extract actionable insights at scale. Users can make more accurate and timely decisions. Retailers need to upgrade their fraud-fighting strategies and technologies. Safeguarding gift card revenues, client trust, and label integrity OSINT can inform retail security managers, loss prevention directors, fraud investigators, and others to help spot and deter gift card fraud. By using AI to detect patterns and anomalies, OSINT solutions can help fraud specialists spot patterns of suspicious activity that may indicate distinct instances of fraud. AI further helps fraud specialists identify members of ORT rings by uncovering hidden connections among seemingly unrelated individuals and transactions. The market for retail gift cards is large and continues to grow, and so too, is the gift card fraud threat. By adopting OSINT for fraud prevention, retailers can stay ahead of tech-savvy criminals, safeguarding gift card revenue streams as well as customer trust and brand integrity.

As urban populations grow and security challenges evolve, Californian cities have increasingly turned to advanced surveillance systems to enhance public safety. Surveillance infrastructure Between 2022 and 2024, these cities have made significant strides in upgrading their surveillance infrastructure, driven by concerns over crime, public safety, and the need for more sophisticated emergency response systems. This article explores how California's urban areas are improving surveillance technologies and practices, with a focus on citywide initiatives, partnerships with technology firms, and the integration of AI-driven systems.  Introduction of smart city surveillance  The push toward smart city technology has reshaped the security landscape in California The push toward smart city technology has reshaped the security landscape in California. With the state being home to some of the world's most innovative technology firms, cities such as Los Angeles (LA), San Francisco, and San Diego are leveraging this expertise to develop and implement advanced surveillance systems.  Citywide surveillance initiatives Since 2022, the state has seen an increase in citywide surveillance initiatives aimed at addressing rising crime rates, enhancing traffic management, and improving emergency response. These systems include AI-enhanced video analytics, high-definition cameras, and real-time monitoring centers, helping law enforcement track and respond to incidents more efficiently.  Key surveillance developments across Californian cities  1. Los Angeles: AI and Facial Recognition Integration  Los Angeles has led the way in deploying state-of-the-art surveillance systems, particularly in high-crime areas and transportation hubs. In 2023, the Los Angeles Police Department (LAPD) expanded its use of artificial intelligence (AI) in crime prevention. The department integrated AI-enhanced video analytics with its existing network of over 30,000 surveillance cameras throughout the city, a move designed to improve real-time crime detection and automate the identification of suspicious activity.  Privacy law compliance The city government has enacted measures to restrict the application of facial recognition to high-priority cases Facial recognition technology has also been a controversial but increasingly used tool in the city’s surveillance strategy. While privacy concerns remain, LA has implemented strict regulations to ensure that this technology is used in compliance with privacy laws. In response to public concerns, the city government has enacted measures to restrict the application of facial recognition to high-priority cases such as locating missing persons or identifying known offenders. According to a 2023 Los Angeles Times report, these technologies have helped reduce violent crime in areas where the systems are deployed, with a notable 15% reduction in crime rates in Downtown LA.  2. San Francisco: Data-Driven Crime Prevention  San Francisco, a tech hub, has similarly embraced advanced surveillance systems, with a focus on predictive policing. The city's law enforcement agencies have adopted data-driven approaches that rely on vast amounts of data collected through surveillance cameras and other sensors placed around the city.  Pilot programme In 2022, the San Francisco Police Department (SFPD) introduced a pilot programme that integrated predictive analytics with its citywide surveillance system. By analysing patterns of criminal activity, the system can forecast potential hotspots and allocate resources more effectively. Although controversial due to concerns over profiling and civil liberties, the system has been credited with helping police prevent several large-scale crimes.  Transparency in the use of surveillance data Measures include annual audits and public reporting, ensuring that the system adheres to standards Moreover, the city has implemented stringent oversight measures to ensure transparency in the use of surveillance data. This includes annual audits and public reporting, ensuring that the system adheres to legal and ethical standards. A 2023 report from The San Francisco Chronicle indicated that this initiative has led to a 10% improvement in response times to major incidents, particularly in high-density areas like the Financial District.  3. San Diego: Smart Traffic and Public Safety Surveillance  San Diego has also taken significant steps to upgrade its urban surveillance capabilities. One of the key focuses of the city has been integrating surveillance systems into its transportation infrastructure. The city’s Smart Streetlights programme, which began as a traffic monitoring initiative, was expanded in 2022 to include surveillance capabilities aimed at improving public safety.  Smart Streetlights programme Under this programme, thousands of streetlights equipped with cameras and sensors have been installed throughout San Diego. These lights not only monitor traffic conditions but also detect suspicious activities, accidents, and emergencies. The data collected is transmitted in real-time to the city’s public safety command center, where law enforcement can respond to incidents more quickly. A 2023 evaluation by the San Diego Union-Tribune revealed that the Smart Streetlights programme had helped reduce traffic-related accidents by 12% and had become a vital tool in aiding crime investigations.  Cybersecurity measures All data collected through its surveillance network is secure from potential breaches or unauthorised access Additionally, San Diego has focused on enhancing its cybersecurity measures to protect the integrity of its surveillance data. The city government partnered with local cybersecurity firms to ensure that all data collected through its surveillance network is secure from potential breaches or unauthorised access.  Key technologies driving city surveillance in California The success of these surveillance initiatives can be attributed to the rapid advancement of several key technologies, which have transformed traditional security systems into sophisticated, AI-driven solutions.  1. AI-Powered Video Analytics  AI-powered video analytics is at the forefront of city surveillance efforts in California. This technology enables the automatic detection of unusual patterns or activities, significantly enhancing the ability of law enforcement agencies to identify potential threats in real time. AI systems can analyse vast amounts of video footage quickly, reducing the need for manual monitoring.  2. Facial Recognition Technology  Despite its controversial nature, facial recognition technology has been adopted in several Californian cities for high-priority security applications. While cities like San Francisco have restricted its use, other cities such as Los Angeles have integrated it into their surveillance networks under strict legal frameworks.  3. Predictive Analytics  This technology allows police departments to focus their resources more effectively by identifying potential hotspots Predictive analytics, used prominently in San Francisco, relies on data collected from various surveillance systems to predict potential criminal activity. This technology allows police departments to focus their resources more effectively by identifying potential hotspots based on past crime patterns.  4. Smart Sensors and IoT Integration  Cities like San Diego have embraced the Internet of Things (IoT) by embedding smart sensors into urban infrastructure. These sensors, connected to central monitoring systems, help cities track everything from traffic conditions to air quality. They also play a crucial role in public safety by identifying anomalies and triggering alerts for law enforcement.  Challenges and controversies  While the benefits of enhanced surveillance are clear, Californian cities face several challenges in the implementation of these technologies.  1. Privacy Concerns  The increased use of surveillance technologies, particularly AI and facial recognition, has raised significant privacy concerns. Advocacy groups have called for stricter regulations to prevent misuse and protect individual privacy rights. In response, cities like San Francisco and Los Angeles have implemented oversight committees and enacted laws to govern the use of these technologies.  2. Data Security  The risk of cyberattacks targeting sensitive data has prompted cities to invest in robust cybersecurity As cities collect vast amounts of surveillance data, ensuring its security is a major challenge. The risk of cyberattacks targeting sensitive data has prompted cities to invest in robust cybersecurity measures. San Diego's partnership with local tech firms to secure its surveillance infrastructure is an example of proactive steps being taken to address this issue.  3. Balancing Surveillance and Civil Liberties  Striking a balance between effective surveillance and the protection of civil liberties continues to be a contentious issue. Critics argue that predictive policing and AI-driven surveillance systems can lead to biased decision-making and discriminatory practices. California cities have responded by introducing transparency measures, including public audits and open-data initiatives, to maintain public trust.  California Urban Surveillance: A Model Worth Emulating  The last couple of years have seen Californian cities making significant progress in upgrading their surveillance and security systems. By integrating AI, predictive analytics, and IoT technologies into their urban infrastructures, cities like Los Angeles, San Francisco, and San Diego are setting new standards for public safety and crime prevention. However, as these technologies continue to evolve, cities must also address the ethical and legal challenges they present, particularly in the areas of privacy and data security. With careful planning and regulation, California’s approach to urban surveillance could serve as a model for other cities worldwide.

Rapid technological advancement, artificial intelligence (AI) and machine learning (ML) are revolutionising traditional on-premises video security systems. These next-level tools are not just enhancing video data capabilities; they're transforming how businesses approach security, operational efficiency, and information analysis. Video analytics have been a part of security systems for many years, but the arrival of deep learning in 2009 marked a turning point. By training neural networks, basic analytics tasks like motion detection, object detection, and tracking objects within scenes have become commonplace. This leap forward has paved the way for more sophisticated AI and ML applications in video security. Proactive security measures AI-powered systems can perform complex tasks such as pose estimation and anomaly detection Today's AI-powered systems can perform complex tasks such as pose estimation, anomaly detection, and behaviour analysis. These capabilities extend far beyond simple, passive monitoring, offering organisations rich insights and proactive security measures.  For instance, analytics can now determine whether people are engaged in hostile or benign interactions, recognise unusual events that may signal safety hazards, and even predict potential security breaches before they occur — all based on analysing massive amounts of data that humans alone could never process. Enhancing on-premises infrastructure While the power of AI and ML in video security is clear, integrating these technologies into existing on-premises systems presents both opportunities and challenges. One of the primary considerations is the increased demand for processing power and storage capacity. As solution technology expands, hardware requirements will increase. This reality necessitates a strategic approach to system design and implementation. Organisations must carefully evaluate their current infrastructure and plan for future needs to ensure their on-premises systems can handle the computational demands of AI and ML tools. However, the benefits often outweigh the challenges. AI-enhanced on-premises systems offer several advantages: Real-time processing: On-premises AI can analyse video feeds in real time, allowing for immediate response to security threats. Data privacy: Keeping data processing on-site can help organisations meet strict data privacy regulations and protect sensitive information. Customisation: On-premises systems allow for greater customisation of AI models to meet specific security needs. Reduced latency: Processing data locally eliminates the need for constant cloud communication, reducing latency in critical security applications. The role of open platform video technology To fully leverage AI and ML capabilities in on-premises video security systems, open-platform video management software (VMS) plays a crucial role. An open platform VMS allows for seamless integration of various AI and ML tools, cameras, and other security devices, creating a highly flexible and scalable system. An open VMS can integrate thousands of cameras and sensors, allowing for centralised management and analysis of vast amounts of data. This approach enables security teams to quickly adapt to new threats and implement new and unplanned AI and ML solutions as they become available. Video system management  The hybrid approach to video system management combines on-premises infrastructure with cloud services It's important to note that many organisations choose to deploy a hybrid approach to video system management that combines on-premises infrastructure with cloud services. This strategy can offer the best of both worlds: the control and low latency of on-premises systems with the scalability and advanced capabilities of cloud-based AI and ML tools. For example, some cities have implemented hybrid data storage models, hosting critical real-time data on local servers while leveraging cloud services for long-term storage and advanced analytics. This approach allows for efficient management of large amounts of high-resolution video data while reducing costs associated with on-premises storage expansion. Practical applications and benefits The integration of AI and ML into on-premises video security systems is transforming security practices across industries, offering benefits that extend beyond traditional surveillance. These advanced technologies enhance security measures while providing valuable insights for operational efficiency and strategic decision-making. By analysing video data in real time, AI and ML-powered systems can detect patterns and automate responses in unprecedented ways. Here are some key examples of sector-specific benefits: Retail: AI-powered analytics can optimise product placement, track shopping patterns, and enhance loss prevention efforts. Education: K-12 schools can use advanced video analysis to address issues like vaping and bullying, monitor traffic, ensure that proper procedures are followed, and provide enhanced safety and security. Manufacturing: AI can streamline quality control processes, detect safety violations, and optimise production line efficiency. Healthcare: Intelligent video systems can monitor patient safety, manage access control, and even assist in documenting and verifying that procedures and protocols are followed appropriately. Transportation: AI-enhanced video systems can improve traffic management, enhance security in transit hubs, and assist in incident response. Challenges and considerations Ensuring access to robust, diverse, and representative data sets is essential for training AI models effectively AI and ML hold great promise for on-premises video security, but organisations may encounter challenges during implementation. The considerable upfront costs could discourage smaller businesses or those with tight budgets. Nevertheless, this should be viewed as a long-term investment with significant returns in enhanced security and operational efficiency. Implementing AI-powered systems in video security can be complex, often requiring specialised skills, potentially creating a gap within existing IT or security teams. To bridge this skills gap, organisations may need to invest in training or partner with external experts to address this challenge. Additionally, the quality of data is crucial for effective AI and ML implementation; poor or insufficient data can result in inaccurate analyses and unreliable results. Ensuring access to robust, diverse, and representative data sets is essential for training AI models effectively. Benefits of integrating AI and ML Ethical considerations surrounding privacy, consent, and potential algorithmic bias are also critical. Organisations must strike a balance between enhancing security and safeguarding individual privacy rights to maintain public trust in these technologies. Despite these challenges, the benefits of integrating AI and ML into on-premises video security systems often outweigh the difficulties. Careful planning, resource investment, and a strong focus on ethical and regulatory compliance can lead to more effective, efficient, and intelligent security solutions. Future outlook Edge computing capabilities will enable sophisticated AI processing directly on cameras The future of AI and ML in on-premises video security promises significant advancements that will address current limitations and unlock new possibilities.  Edge computing capabilities will enable sophisticated AI processing directly on cameras and other security devices, reducing strain on central servers and potentially lowering hardware requirements. This, combined with more efficient AI algorithms, will democratise access to advanced AI and ML capabilities for organisations of all sizes. AI-powered analytics Predictive analytics will become a cornerstone of future video security systems, marking a shift from reactive to proactive security measures. As AI models become more sophisticated, their ability to anticipate and prevent security incidents will improve dramatically, revolutionising risk management and incident response.  The integration between video security and other business systems will deepen, with AI-powered analytics providing insights beyond security into business operations and strategic decision-making. Data for training AI models Explainable AI will become more overall, which is vital for building trust in automated systems Automation of security processes will reach new heights, freeing human operators to focus on high-level decision-making and complex situations. To support this evolution, we'll likely see increased use of synthetic data for training AI models, addressing privacy concerns, and improving model robustness. Explainable AI will become more prevalent, which is crucial for building trust in automated systems and meeting regulatory requirements. For security professionals, embracing these technologies is no longer optional but necessary to remain competitive and provide the best possible service to clients. By leveraging open platform VMS and carefully planning system architectures, organisations can create flexible, scalable, and powerful video security solutions that not only protect assets but also drive business value. Enhanced video security systems The key to success will be finding the right balance between on-premises control and cloud-based capabilities while addressing important considerations around privacy, ethics, and regulatory compliance. With thoughtful implementation and ongoing adaptation, AI and ML-enhanced video security systems will continue to play an increasingly central role in safeguarding our businesses, institutions, and communities.

With the year 2025 stretched out before us, there are many techniques one could use to predict what will happen in the new year. You might analyse historical data and analyse future trends. Or you could try statistical or economic modelling. Or you could develop multiple scenarios based on various assumptions to explore potential outcomes. Or you could just check your email. At this time of year, my email is full of industry folks looking to predict what the future holds in 2025. Ranging from artificial intelligence (AI) to privacy, the retail market to drones, here is a sampling of forecasts for 2025 provided by various players in the security market, courtesy of my email messages. What’s Ahead for AI? From Faisal Pandit, VP & GM, Global Security Products, Johnson Controls (JCI): “The future of security operations includes customisable, scalable solutions where users can control if, when, and how they use AI to improve efficiency depending on the size and function of their organisation.” Says Kevin Woodworth, Vice President, Global Product Management, Intrusion, JCI: “Next year will see a growing focus from product developers on designing systems that streamline setup and configuration through increased AI integration. This reflects a broader trend of leveraging AI to simplify use and enhance adaptability as solutions evolve, rather simply employing it because it’s popular.” From Peter Evans, CEO of Xtract One Technologies: “AI algorithms will significantly advance in distinguishing between harmless, everyday items and potential threats. With this, we will see false alerts become even more rare.” Says JP Castellanos, Director of Threat Intelligence, Binary Defense: “Machine learning (ML)-powered anomaly detection will move beyond proof-of-concept to become mission-critical, enabling teams to uncover unknown threats and behavioural anomalies in real time – well before they escalate.” Evans of Xtract: “As AI becomes more advanced in threat detection, it will lead to more sophisticated protection of individual privacy. We can expect to see more AI techniques utilised for threat identification that do not capture personal data and are privacy-first.” Predictions on interoperability and compliance Woodworth of JCI: “New products added to singular systems must be interoperable. In 2025, organisations will need to embrace interoperability. AI will progress past reactive measures to achieve predictive capabilities.” Pandit of JCI: “With organisations increasing their focus on the regulatory environment, there will be an uptick in specialised certification programs to meet these needs. New security roles will emerge that will be focused on tracking and applying relevant regulatory changes.” Expanding capabilities for video cameras Woodworth of JCI: “Beyond capturing images, cameras will be able to detect potential threats and also mitigate them instantly, issuing vocal warnings, controlling access, or escalating issues without human intervention.” Looking ahead to retail developments Hansel Oh, Director of Product Marketing at Brivo: “Centralized, cloud-based security platforms will enhance credential management and monitor logistical operations to enable retailers to battle cargo theft.” Stephen Burd, Vice President, Essence Security: “With an increase in police response times, sophisticated crime, and smash and grabs, 2025 will see a huge demand for security solutions that go beyond simply notifying the police and will look to actively intervene and prevent damage or loss from occurring.” The role of drones and training Mary-Lou Smulders, CMO, Dedrone by Axon: “Drones will transition from being viewed as supplementary tools to becoming essential components of public safety operations. As departments recognise their effectiveness in various scenarios, the perception of drones will shift, and they will be integrated into core operational frameworks alongside traditional assets like patrol cars while replacing helicopters as a cost-effective and versatile alternative.” Erik Hohengasser, Electrical Technical Lead at NFPA: “As the skilled trades evolve, there will be an increasing demand for specialised and technical training. Predictive analytics, virtual simulations and hands-on experiential learning will become especially valuable due to allowing employees to gain real-world expertise in safe and controlled environments.”

The pattern of veins in the hand contains unique information that can be used for identity. Blood flowing through veins in the human body can absorb light waves of specific wavelengths. Irradiating the human palm with near-infrared light waves yields an image of the vascular pattern. A venous distribution map can be processed and compared to pre-registered data to match and confirm identity.    Palm vein biometrics The idea of palm vein biometrics goes back to the 1980s when palm vein scanners emerged as commercial products in the 1990s. The devices gained some traction in military-grade and high-security applications, although the technology was too expensive to become popular among mainstream applications such as physical access control.    Anviz Global is expanding palm vein technology into mainstream applications, featuring a lower price point that will open new market opportunities.    Palm vein technology “Palm vein technology has been viewed as a boutique product because it is costly and has not developed as a mainstream product,” says Mark Vena, Senior Director of Business Strategy and Development for Anviz Global. “With a more compelling price point, the market can see the technology more broadly. We can change the game in terms of how people think about palm vein technology.”  FAR and FRR Palm vein technology is more accurate than either fingerprint (0.0001% FAR) or facial recognition (0.001% FAR) Iris recognition is considered the gold standard in biometric identification, but palm vein technology can almost achieve the accuracy of iris. The false accept rate (FAR) for palm vein technology is 0.00008%, compared to 0.00005% for iris recognition systems. The false reject rate (FRR) is comparable at 0.01% for either technology. Palm vein technology is more accurate than either fingerprint (0.0001% FAR) or facial recognition (0.001% FAR). Palm vein identification occurs in less than half a second.   M7 Palm “Anviz is seeking to bring a high level of capability to more mainstream commercial applications,” says Vena, specifically providing a lower-cost palm vein unit. The M7 Palm by Anviz can achieve next-generation biometric access control for greater security and intelligence. The door-mounted unit combines palm vein recognition with an RFID card reader and PIN code (using a 17-button keypad), all configurable for multi-factor authentication.   Outdoor applications The robust unit, including a narrow metal exterior design, provides strong vandal resistance (IK10) and stability for outdoor applications. To ensure a weatherproof design, the IP66 rating indicates the product is completely protected against dust and can withstand strong jets of water from any direction. Power-over-ethernet (PoE) enables centralised power management and the ability to remotely reboot devices.  Wiegand-out interface The unit communicates using RS-485 or TCP/IP and can connect locks, exit buttons, door contacts, doorbells, etc The unit communicates using RS-485 or TCP/IP and can connect locks, exit buttons, door contacts, doorbells, etc. The Wiegand-out interface can connect to standard third-party controllers, or a built-in relay can trigger a lock directly. Capacity is 500 users.   Because palm vein recognition originates from the physiological characteristics of the human body, it represents a “credential” that cannot be forged, lost, or left at home. It is not easily counterfeited or worn out.  Multi-factor authentication Applications include industries requiring high security such as government, judicial, and banking. Multi-factor authentication eliminates fraud and ensures safety at banks, data centers, airports, prisons, and government.   An end user might opt for higher levels of access control for a laboratory or server room. For dealers and integrators, palm vein technology, including multi-factor authentication, provides an additional option for customers seeking to protect high-security areas on a large campus. Card readers Card readers may suffice for most of the doors, but an important laboratory or cash-handling area requires more protection.  Palm vein technology can secure a casino cash cage or a room containing corporate secrets.   Time of Flight ToF laser-ranging uses a laser to measure the distance to an object by calculating the time Time of Flight (ToF) laser-ranging achieves accurate measurement to ensure the right distance for operation. ToF laser-ranging uses a laser to measure the distance to an object by calculating the time it takes for the laser light to travel to the object and back. Palm vein technology operates in the range of 10 to 30cm (4 to 12 inches). The proprietary BioNANO palm vein recognition algorithm enables accurate and fast scanning speed.  Non-contact biometric The non-contact biometric performs in touchless environments and does not contribute to lingering health concerns in the post-COVID world. The technology is accurate across all hand types and skin tones. Users may feel more comfortable scanning their hands than their eyes.   Optimal human-machine interaction M7 Palm’s optimal human-machine interaction and user experience include a low-power-consumption OLED screen to deliver clear text notifications to the user.  Advantages of M7 Palm include accuracy, stability, security, and privacy. Features include easy installation with standard processes and no special tools, centralised power management, simplified cabling, and less maintenance.  Managing the system is expedited by integration with the Anviz CrossChex Standard access control and time management dashboard, used by more than 30,000 enterprises, and the system can be integrated with any access control system.   Security for SMBs Anviz Global is a converged intelligent security provider for SMBs and enterprise organisations Anviz Global is a converged intelligent security provider for small- and medium-sized businesses (SMBs) and enterprise organisations. The company’s product line includes biometrics, video surveillance, and security management solutions based on the cloud, Internet of Things (IoT) and artificial intelligence (AI) technologies.  Privacy concerns Anviz is part of the Xthings family of companies, which includes Ultraloq (smart locks), Utec (smart home), Bright (smart lighting), Secu365 (SaaS Platform), and Ulticam (smart cameras).  Privacy concerns are minimised because palm vein recognition does not directly store the original image but rather extracts feature information through algorithmic models. Personal data is protected through obfuscation and encryption.

The information age is changing. Today, we are at the center of addressing one of the most critical issues in the digital age: the misinformation age. While most awareness of this problem has emerged in the consumer and political worlds, the issue cannot be ignored when it comes to the authenticity and protection of video and security data. Video surveillance data SWEAR is a company with the mission to ensure the integrity of video surveillance data by mapping video data and writing it into the blockchain, providing real-time, immutable proof of authenticity. Blockchain, which is the underlying technology that enables cryptocurrencies, is a decentralised digital ledger that securely stores records across a network of computers in a way that is transparent, immutable, and resistant to tampering. SWEAR solution The SWEAR solution is based on proactive, foundational protection that validates data at the source The SWEAR solution is based on proactive, foundational protection that validates data at the source before any opportunity for manipulation can occur. “Our technology is about proving what’s real and our goal is to ensure that security content and video surveillance data remain untampered with and reliable when needed,” says Jason Crawforth, Founder and CEO of SWEAR. Real-time authentication Security leaders need to ensure that the content they are relying on to make mission-critical decisions is authentic. Once verified, organisations can be sure that their investment in video can be trusted for critical use cases, including intelligence operations, legal investigations, and enterprise-scale security strategies. SWEAR seeks to embed trust and authenticity directly into video surveillance content at the point of creation. This ensures real-time authentication while proactively preventing tampering or manipulation before it can happen.  AI-generated content The rise of AI-generated content, such as deepfakes, introduces significant challenges As AI transforms the landscape of video surveillance by enhancing threat detection and predictive analysis, it also introduces the very real risk of manipulation through AI-generated content. This presents a significant challenge in protecting critical security data, especially in mission-critical applications. The rise of AI-generated content, such as deepfakes, introduces significant challenges when it comes to ensuring the protection of digital media like video surveillance.  Recent study findings It is a fact that digital media content is being questioned more regularly, which puts businesses, legal systems, and public trust at risk.  A recent study from the Pew Research Center found that 63 percent of Americans believe altered videos and images create significant confusion about the facts of current issues. Last month, California Governor Gavin Newsom signed three bills aimed at curbing the use of AI to create fake images or videos in political ads ahead of the 2024 election.  Footage authenticity “While most of the news cycle has centered on the use of fake content in politics, we need to think about how manipulated videos could affect security,” says Crawforth. “In video surveillance, ensuring the authenticity of footage is critical for keeping operations secure and safe around the world. That means verifying and protecting video data is a must.”  Organisations must be capable of performing thorough digital investigations, which involve retrieving and analysing video and security data from devices and networks through a chain of evidence. Digital forensic capabilities Strong digital forensic capabilities also enhance incident response, risk management, and proactive security An in-depth understanding of who has handled video data, how it was handled, and where it has been is an important step in responding to security incidents, safeguarding assets, and protecting critical infrastructure. Strong digital forensic capabilities also enhance incident response, risk management, and proactive security measures, all essential for risk management, regulatory compliance, and cost control, says Crawforth.  An unbroken chain of custody “By using tools to identify, preserve, and analyse digital evidence, organisations can ensure swift and accurate responses to security incidents,” he adds. “Using the latest tools and techniques is vital for maintaining a strong security posture." "But you must ensure your digital content isn’t manipulated.” SWEAR’s technology provides an unbroken chain of custody, ensuring that video evidence can be trusted and admissible in court and forensic applications.  Authenticating content Authenticating content also strengthens accountability and trust, protecting organisations By verifying video content is protected from tampering, manipulation, or forgery, organisations can be sure that they have reliable evidence that produces actionable results. Authenticating content also strengthens accountability and trust, protecting organisations from legal disputes or compliance violations.  Safeguarding digital content “With an increasing amount of disinformation in today’s world, we sought to develop an innovative solution to safeguard the integrity of digital content,” says Crawforth. SWEAR safeguards security content using real-time “digital DNA” encoding. It integrates directly at the video management system level, ensuring it is preserved with a secure chain of custody and maintains integrity for evidentiary purposes.  Real-time “digital DNA” encoding The digital DNA is then stored on a blockchain, creating an immutable record The solution integrates with cameras and other recording devices to map this digital DNA of the video data, all in real-time. The digital DNA is then stored on a blockchain, creating an immutable record that tracks the content’s history and integrity. Any attempt to manipulate the media can be instantly detected by comparing the current state of the media to its original, authenticated version. SWEAR is actively collaborating with video management solution providers to integrate the technology into their platforms. Video and security data benefits “We’re still in the early stages of our collaboration in this space, but it is clear that the industry recognises that we have to work together to mitigate this risk proactively before it becomes a significant issue,” says Crawforth. “The feedback we have received from the industry to date has been beyond our expectations, and we expect to have more integration partners to highlight shortly.”  “We should approach this as a collaborative effort across the industry, as ensuring the authenticity of video and security data benefits everyone involved,” says Crawforth. 

ZeroEyes, the creators of the only AI-based gun detection video analytics platform that holds the full US Department of Homeland Security SAFETY Act Designation announced that its proactive gun detection and intelligent situational awareness solution has been adopted by Cardinal Local Schools in Middlefield, Ohio to protect its students, faculty, and staff from gun-related threats. Gun-related violence Gun-related violence remains a significant and growing problem in the United States, affecting communities across the country. According to the ZeroEyes Gun Violence Research Centre, 42% of Ohio shootings analysed took place in K-12 institutions. “We are committed to ensuring the safety of our community,” said Jack Cunningham, superintendent of Cardinal Local Schools.  AI gun detection “With the addition of a full-time Resource Officer and security measures like locked doors, visitor sign-ins, door barricade devices, and metal detectors, we are trying to take advantage of as many steps as possible to enhance our security efforts." "ZeroEyes’ AI gun detection is a crucial part of this multi-layered security plan and provides extra reassurance that we can respond swiftly to potential gun threats.” Cardinal Local Schools The district is recognised for successfully implementing PBIS district-wide Cardinal Local Schools is a rural public district serving approximately 750 K-12 students in Geauga and Trumbull counties. Students can take college preparatory classes, fine arts classes, and college credit plus courses. Through partnerships with local factories, Cardinal Local Schools provides an engineering and manufacturing pathway for students pursuing college or workforce opportunities. The district is recognised for successfully implementing Positive Behavioural Interventions and Supports (PBIS) district-wide, highlighting its commitment to a safe and supportive learning environment. Intelligent situational awareness software ZeroEyes’ AI gun detection and intelligent situational awareness software layers onto existing digital security cameras. If a gun is identified, images are instantly shared with the ZeroEyes Operations Centre (ZOC), the industry’s only U.S.-based, fully in-house operation centre, which is staffed 24/7/365 by specially trained U.S. military and law enforcement veterans. If these experts determine the threat is valid, they dispatch alerts and actionable intelligence including visual description, gun type, and last known location to local law enforcement and university security as quickly as 3 to 5 seconds from detection. School safety standards “By integrating our AI gun detection system, Cardinal is setting a new standard for school safety,” said Mike Lahiff, CEO and co-founder of ZeroEyes. “Our goal is to provide peace of mind and ensure that any potential gun threats are identified and addressed before first shots are fired, helping to create a safer learning environment for everyone."

ZeroEyes, the creators of the only AI-based gun detection video analytics platform that holds the full US Department of Homeland Security SAFETY Act Designation, and EPS, an Ohio-based security systems integrator announced a partnership to protect schools against the threat of gun-related violence.  They also unveiled their first joint customer, the Tri-County Career Centre (TCCC) in Southeastern Ohio, which has adopted ZeroEyes’ proactive security technology to protect students, faculty, and staff. Camera placements The partnership aims to amplify customer service and extend the reach of ZeroEyes’ technology to new territories. EPS played a key role in the adoption and implementation of ZeroEyes at the TCCC, conducting site visits, identifying the most effective outdoor cameras, and working closely with ZeroEyes to determine the optimal camera placements. Public, and school safety “As a 100% family-owned business that has been operating for over 40 years throughout the US, EPS prides itself on staying ahead of the game when it comes to technology, the public, and school safety,” says EPS President Charles Wilde. “ZeroEyes’ edge technology and proven commitment to public safety fits squarely within EPS’s model. It's an impressive product, and it's only going to get better as AI continues to advance. I believe it to be a first line of defense against the school shootings that are happening throughout the US.” Comprehensive security integration services EPS specialises in custom solutions across fire detection, security, access control, and video surveillance Based in Canal Winchester, Ohio, EPS provides comprehensive security integration services from design through installation and maintenance. The company specialises in custom solutions across fire detection, security, access control, and video surveillance. “After seeing a ZeroEyes demo presented by an existing EPS client, I instantly knew we needed it as an additional layer of protection,” said Connie Altier, Superintendent of TCCC. “This technology provides a level of safety that I wasn’t even aware existed. Once I learned about it, there was no question in my mind—we had to implement it to ensure the highest level of security for our school.” TCCC Serving the community for 50+ years, TCCC educates 650 students spanning eight districts in rural Southeastern Ohio. The school offers programs for high school students and adults, and its diverse programs are designed to provide students with the critical know-how and real-world exposure needed to excel in their selected careers. TCCC is the first school in Athens County, Ohio to implement a multi-layered security system complete with security cameras, key card door access, a full-time onsite resource officer, and ZeroEyes. AI gun detection and intelligent situational awareness If these experts determine that the threat is valid, they will dispatch alerts and actionable intelligence ZeroEyes' AI gun detection and intelligent situational awareness software is layered on existing digital security cameras. If a gun is identified, images will instantly be shared with the ZeroEyes Operations Centre (ZOC), the industry's only U.S.-based, fully in-house operation centre, which is staffed 24/7/365 by specially trained U.S. military and law enforcement veterans. If these experts determine that the threat is valid, they will dispatch alerts and actionable intelligence, including visual description, gun type, and last known location, to local law enforcement and the school security team as quickly as 3 to 5 seconds from detection. Protection against gun-related violence “As we work toward a safer future for all, partnering with systems integrators like EPS helps us expand our reach to new areas so we can protect more people," said Mike Lahiff, CEO and co-founder of ZeroEyes. "Our solution complements EPS's model perfectly, creating a powerful duo to enhance security measures. We look forward to working together to protect the TCCC and other future joint customers against gun-related incidents.”

VIVOTEK, the global pioneering security solution provider, has played a pivotal role in enhancing campus safety at CDO Newton, a renowned educational institution in Sint-Niklaas, Belgium, that helps guide students in taking their first steps toward the job market. As CDO Newton expanded its facilities, ensuring the security of students, staff, and visitors across a larger, more dynamic campus became increasingly challenging. To address this, CDO Newton turned to VIVOTEK's state-of-the-art AI security solutions to provide a scalable, comprehensive security system that offers maximum coverage, advanced AI capabilities, and improved operational efficiency. Challenges CDO Newton's previous security infrastructure was unable to effectively monitor all areas CDO Newton's previous security infrastructure was unable to effectively monitor all areas of its expanding campus. It lacked full coverage and had blind spots, while system administrators spent long hours manually searching footage. Additionally, the time-consuming manual video review process hindered the quick identification and response to potential incidents. The institution needed a solution that would: old and outdated. Provide comprehensive coverage with minimal blind spots. Enable efficient monitoring and management using AI-driven technology. Be scalable to accommodate future growth and evolving security needs. Reduce the total cost of ownership by minimising the number of cameras required and simplifying maintenance. VIVOTEK, in collaboration with trusted partners Educorner bvba and Optima Networks, provided a powerful solution that addressed these challenges head-on. By combining VIVOTEK’s AI-powered cameras with a user-friendly video management platform, the solution ensured enhanced campus security, and a more efficient overall system. Solutions VIVOTEK’s security technology played a central role in transforming CDO Newton’s security infrastructure. A carefully planned deployment saw the installation of a range of VIVOTEK cameras, complemented by Network Optix Video Management System(VMS) and VIVOTEK's Deep Search Plugin, to provide an integrated and effective solution. Key components of the system included: 12MP 360-Degree Fisheye Cameras: These cameras deliver panoramic coverage, eliminating blind spots and reducing the number of cameras needed. With their wide coverage area, they also minimise installation and maintenance costs, offering a highly cost-effective long-term solution. 5MP 180-Degree Panoramic Cameras: Ideal for areas requiring broad, high-definition coverage, these cameras ensure clear, distortion-free footage across key zones. 89-v2 Fixed Dome Cameras: These cameras were strategically placed to secure high-risk areas, delivering clear, AI-powered analytics that support enhanced object detection and incident management. Network Optix VMS and VIVOTEK Deep Search Plugin: Integrated into the system, these tools significantly enhance usability, enabling security personnel to quickly search and identify objects and individuals within large video datasets using advanced AI-based filters. Key benefits to CDO Newton Comprehensive Coverage with Cost Savings: VIVOTEK’s combination of 360-degree and 180-degree panoramic cameras ensures wide coverage of CDO Newton’s campus, reducing the need for additional cameras. This translates to lower installation and maintenance costs while still providing robust security coverage. AI-Powered Object Detection and Real-Time Alerts: Equipped with VIVOTEK’s Edge AI technology, the system’s advanced object recognition capabilities detect unusual trespassing in restricted areas or unauthorised vehicles parked in no-parking zones. This ensures security staff can investigate and intervene promptly, minimising risks and enhancing overall campus safety. Intuitive Video Management: The integration of VIVOTEK’s Deep Search Plugin with Network Optix VMS provides a user-friendly interface that allows security staff to easily manage and monitor live footage, conduct investigations, and access historical data. This streamlined process reduces the need for extensive training and enhances operational efficiency. Scalability for Future Growth: The modular nature of the system ensures that it can be expanded to meet the future needs of CDO Newton as the campus continues to grow. Additional cameras can be easily added without significant disruption to existing operations, ensuring that the institution’s evolving security requirements are met. Results and customer feedback VIVOTEK, in collaboration with local partners Educorner bvba and Optima Networks, successfully implemented an efficient security solution at CDO Newton. This exciting example demonstrates the integration of innovative technology and expertise to create a secure, scalable, and cost-effective system, providing a safer learning environment for both campus management and students. VIVOTEK continuously offers the most trusted cutting-edge security solutions to its customers and deeply develops various vertical markets in the future, including the educational sector that fosters knowledge.

Based in Northern California, LYNX Logistics is a third-party logistics (3PL) company specialising in high-value assets. The company partners with the Transported Asset Protection Association (TAPA), aligning with TAPA’s global coalition of manufacturers, shippers, and carriers to protect every corner of their 96,000-square-foot mixed-use facilities, which encompass 8,500 rack and bulk pallet locations. Strategically headquartered near the Port of Oakland and Silicon Valley, it plans to expand to major cities across the United States in the coming year. Adopter of new technology Francisco recognised the value that an integrated physical security system President & Founder Francisco Garcia started the company with a 15-year background in product design and mechanical engineering. An early adopter of new technology, Francisco recognised the value that an integrated physical security system could bring to the organisation, improving efficiency while going above and beyond in protecting cargo. "Once clients see our facilities, they are assured. We don't cut corners on cargo security.” The challenge Safety and security are critical for LYNX, which differentiates itself in the market with the real-time visibility it provides clients over their cargo. To meet industry requirements, the company must also provide accurate compliance documentation and assurance of timely deliveries. To maintain client satisfaction, the team proactively works to prevent and mitigate the risk of errors, defects, damages, and delays. “At one point, I considered implementing container recognition software that could read container IDs. Today, AI-powered search solves this problem.” Team proactively works to prevent and mitigate the risk of errors, defects, damages. Why Verkada? Verkada cameras, intercom, and air quality sensors are integrated behind the Command platform Verkada cameras, intercom, air quality sensors, alarms, and access control security solutions are seamlessly integrated behind the centralised Command platform, giving teams an all-in-one view of security operations – including cargo and containers. "The container ID numbers are the heartbeat of logistics. Everything moves in them, and there's often a need to review camera footage to pinpoint exactly when a container arrived and left the facility.” AI-powered search AI-powered search empowers LYNX to search for people and vehicles using freeform text within the Command platform. By typing in unique container IDs and vehicle information, teams can swiftly find and track a container's precise location and status. This reduces the risk of potential holding charges and administrative tasks, enabling the team to submit real-time data on the spot. “Using AI-powered search, we can quickly locate each container by its unique ID and know exactly where cargo is in the facility, as well as which employee unloaded each container, at which dock door, and for how long." AI-powered search empowers LYNX to search for people and vehicles. Efficient tracking and dispatch Instead of manually sifting through hours of footage, the dispatch team can retrieve the footage they need by typing in container IDs and vehicle descriptions. In the Command search bar, they can enter terms like "(container ID) red truck between April 15th and May 1st” and specify a camera or location to narrow the search even more. "Tracking down a container in our yard now takes a fraction of the time. Instead of scrolling through hours of footage, we can easily find the exact footage we need in seconds. We can filter results via the entrance camera and see when certain crates arrived based on their container ID.” Dispatch team can retrieve the footage they need by typing in container IDs. Real-time cargo monitoring Francisco can remotely check the camera feed from the Command web browser or mobile app Every corner of the facilities is closely monitored by hybrid cloud cameras that oversee cargo from its arrival to its final storage location. Through a web link, vendors can see the whereabouts of cargo as it’s unloaded, transported, and warehoused within facilities.  At any point in time, Francisco can remotely check the camera feed from the Command web browser or mobile app. He has set up motion alerts for unusual after-hours activity, to which he can take action and even automate responses with professional monitoring. "We're proud to offer live monitoring to our customers, who can see as their cargo is unloaded and stored securely.” Proactive safety and risk mitigation AI-powered search helps verify that safety standards, protocols, and policies are maintained. By detecting and addressing issues quickly, the team swiftly takes action to prevent accidents and equipment damage, proactively upholding a safer work environment. “We can check for employees wearing safety vests while working, or certain forklifts only being used inside and not outside.” AI-powered search helps verify safety standards, protocols, and policies. Automating visitor management with driver check-in portal By U.S. Customs and TAPA certification standards, every driver must sign in upon entering the premises. Instead of relying on a pen-and-paper logbook, Francisco has turned Verkada Guest into a driver check-in portal. This digital record helps maintain compliance by facilitating the driver check-in process. “Now, drivers can check in through the Guest iPad, take a photo, and upload their licence. This process helps us comply with customs in a streamlined way.” Francisco has turned Verkada Guest into a driver check-in portal. Streamlined audits to support certifications Meticulous tracking helps maintain compliance with the FDA, US Customs and ISO certification Checks and check-ins extend to cargo as well. With AI-powered search, the team can search for specific items, such as medical device crates, to ensure items are properly labelled and container IDs are verified as they arrive and leave. This meticulous tracking helps maintain compliance with the FDA, US Customs and ISO certification standards. "We're dually ISO-certified, TAPA-certified, and U.S. Customs-certified. All organisations were thoroughly impressed with our video security. When we present this package to high-level customers, they're mind-blown.” Medical device and environmental monitoring A core value at LYNX is providing their clientele with customised solutions that exceed expectations. Air quality sensors help show that ISO certification standards are met for their medical device clients. LYNX goes above and beyond – tracking temperature, humidity, and carbon dioxide levels to maintain optimal conditions. "The integrity of the sensors is important to us. What a lot of people do is put a sensor in the coolest spot in the facility, then manipulate the data to show consistent results," Francisco explains. "But we track everything honestly and transparently. We show our vendors the functionality behind Verkada’s sensor technology: temperature, humidity, CO2, indoor air quality, and beyond.” A core value at LYNX is providing their clientele with customised solutions. Intrusion detection, response, and alerts Verkada’s professional monitoring service includes intrusion response from trained agents LYNX recently transitioned its legacy alarm system to Verkada to bring all physical security management under one umbrella. "It just makes sense logistically to have our team manage everything through one interface.” Wired alarm sensors protect facilities at every access point, with the ability to alert staff of incidents like Door Held/Forced Open (DHO/DFO) and tailgating. Beyond real-time intrusion detection, Verkada’s professional monitoring service includes intrusion response from trained agents who can take action immediately to potential threats. Visibility and control over doors LYNX has over 20 access-controlled doors, a requirement for certain certifications. By efficiently controlling access points and implementing real-time compliance checks, LYNX provides a protected environment for high-value cargo. "We can track every single door, along with every person who accesses or tries to access them.” LYNX provides a protected environment for high-value cargo. Gated entry with intercom Upon arrival, visitors of all types buzz into the building using the Verkada Intercom Upon arrival, visitors of all types buzz into the building using Verkada Intercom. Dedicated LYNX staff members can verify the visitor’s identity, answer the call, choose to grant them entry, and even unlock doors remotely with integrated access control. Entrance security is further enhanced with context cameras and real-time alerts for people or vehicles of interest. "It's not just about letting people in; it's about ensuring that everyone who enters our facility is verified and authorised. This technology offers peace of mind to both our team and our clients." Multi-layered perimeter security Beyond the buildings, parking lots and perimeters are protected with Licence Plate Recognition (LPR) technology, cameras, and alarms. The main entrance is followed by two buffer zones, each with its own gate, and includes Licence Plate Recognition (LPR) cameras that track vehicles entering the premises. "We have a main entrance and multiple gates – all controlled through Verkada. The cameras are strategically placed, so we could even deploy tailgate detection if needed.” Parking lots and perimeters are protected with LPR technology. Quality and client assurance Francisco shows them their guest log and footage of everywhere they have been in the facility Auditors sign in via Verkada Guest before walking through the facility. At the end of their visit, Francisco shows them their guest log and footage of everywhere they have been in the facility. Once clients see the facilities firsthand, their decision becomes clear. "I truly believe that all we have to do is get people in here. The facility does the rest.” AI-powered search capabilities further distinguish LYNX in the logistics industry, offering exceptional protection for high-value cargo. "Our AI-powered capabilities set us apart in the market. This technological edge is why clients trust us with high-value items like medical devices." Looking ahead Francisco’s passion for new technology brings innovation to the forefront, setting the company apart in the competitive logistics industry. He has even built a special mount, which can peer into containers and trailers while suspended from the loading dock. "We believe in investing in cutting-edge technology to provide the highest level of service and quality for our customers. I love to hear, ‘Nobody else is doing this.’ It means our clients are doing their homework and we're doing something right.” Francisco’s passion for new technology brings innovation to the forefront. Their proactive security measures have built trust with customers and struck a chord with prospects. So much so that expansion plans are underway to open new facilities in major cities across the United States. “We can continue to bring our security to the next level, from AI-powered search to future feature releases. We’re excited to try it all.”

The security marketplace has its share of buzzwords, which are words or phrases that become popular and widely used in a specific industry. Buzzwords can be useful for conveying complex ideas quickly, but they can also be misused or misunderstood. Within a specific industry, such as security, buzzwords can create a sense of shared understanding and belonging. We asked this week’s Expert Panel Roundtable: What new buzzword have you heard, and what does it mean for the security industry?

By all accounts, technology development is moving at a rapid pace in today's markets, including the physical security industry. However, market uptake of the newest technologies may lag, whether because of a lack of clear communication or not enough education of potential customers. We asked this week's Expert Panel Roundtable: How can the industry do a better job of promoting emerging technologies in physical security environments?

Technology automates tasks, streamlines processes, and improves efficiency in various fields, including physical security. But the success of today’s latest technologies depends on our ability to use them responsibly and efficiently. Optimising our industry’s use of technology requires that the industry’s workforce have the needed skills to operate the latest equipment. We asked this week’s Expert Panel Roundtable: How does technology innovation in security systems impact the skillsets needed by security operators and officers?