Covert cameras

AlarMax boosts sales team with new manager appointment

AlarMax Distributors, Inc., a national pioneer in security and surveillance distribution, announces the appointment of Barbara Ann Perkes as Sales Manager – Strategic Accounts. With over a decade of expertise in low voltage and autonomous security technologies, Perkes brings a powerful mix of business insight, customer-first thinking, and transformational leadership to the AlarMax team. Barbara leadership roles A visionary sales and marketing executive, Barbara has built her career on...

Smiths Detection's SDX 6040 revolutionising cruise security

Smiths Detection, a pioneer in threat detection and security screening technologies, and a business of Smiths Group plc, announces it is to supply SDX 6040 X-ray inspection systems to a number of major cruise lines. With thousands of people and large quantities of cargo coming onboard, screening systems are vital in helping detect weapons, explosives, drugs, and other prohibited items hidden in luggage or supplies. SDX 6040’s portable and flexible design SDX 6040’s portable and fl...

MOBOTIX innovates with certified fire protection cameras

MOBOTIX consolidates its position as a pioneering provider of innovative fire protection technologies: MOBOTIX thermographic cameras have again received the “Technical Evaluation of Suitability” (Evaluación Técnica de Idoneidad). The certification according to the strict requirements of the Spanish Fire Protection Systems Regulation (Reglamento de Instalaciones de Protección Contra Incendios/RIPCI) was issued by Applus, a certification body recognised by the Sp...

LOOKOUT marine AI camera with navigation light

LOOKOUT, a pioneering provider of marine AI systems for safety, announced the expansion of its product line by introducing a new camera featuring an integrated navigation light. This new camera system offers enhanced safety and greater installation flexibility and is available in LOOKOUT's classic blue and white, matte black with carbon accents and custom colours by request, to complement a wider range of vessel designs. Advanced AI vision cameras LOOKOUT has solved a common installation dile...

ADI | Snap One at ISC West 2025: Explore new innovations

ADI | Snap One is demonstrating its expansive portfolio at ISC West 2025 from April 2 – 4, at The Venetian Expo in Las Vegas, Nevada, USA. In Booth #12043, visitors can explore an assortment of technologies and solutions across multiple product categories, including security, video surveillance, automation, power, networking, remote management, data communications, fire and life safety, smart living, and more. ADI | Snap One exhibits at ISC West 2025 “As a combined business,...

ZeroEyes AI gun detection in Calhan schools

ZeroEyes, the creators of the first AI-based gun detection video analytics platform to earn the full U.S. Department of Homeland Security SAFETY Act Designation. Has announced that its gun detection and intelligent situational awareness platform has been deployed at Calhan School District (CSD) in Calhan, Colorado. The proactive security technology has been integrated to protect students, staff and visitors at all of the district’s schools. Proactive threat detection The ZeroEyes Gun Vi...

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Expert commentary

Mind the gap: Addressing cybersecurity at every phase of technology management

In today’s world, almost any electronic security system holds the potential to become a gateway for cybercriminals. With physical security and cybersecurity increasingly entwined, security professionals aren’t doing their job unless they take all possible precautions to lock down unauthorised access to camera systems, access control platforms, intercoms, and other network-based security devices and solutions. Let’s explore the many steps companies should take throughout their security technologies’ lifecycle – from choosing a vendor all the way through device decommissioning – to avoid making the common mistakes that leave systems, and the networks they reside on, vulnerable to attack and sabotage. Prepurchase phase: Laying the groundwork for cybersecurity 1. Conduct a Vendor Risk Assessment IT departments often rely on the same Vendor Risk Assessment criteria they use for evaluating IT equipment manufacturers when considering the suitability of physical security vendors. While commonalities exist between how to assess these disparate solutions, there are also differences that require distinct scrutiny. For example, device endpoints within physical security systems run on custom Linux Kernels and therefore do not utilise standard Linux distributions like Red Hat, Ubuntu, or Debian. IT divisions often rely on the same Vendor Risk Assessment criteria they use for evaluating IT kit A comprehensive evaluation should examine how each security solutions manufacturer handles its software development life cycles. Ideally, vendors should adhere to a recognised framework when developing both their platform management and device-specific software. In 2021, Executive Order 14028 made it a bit easier for companies to evaluate vendors by providing guidelines for evaluating software security, the practices of the software developer, and methods to demonstrate conformance with secure practices, specifically referencing the NIST SP 800-218 Secure Software Development Framework. In short, a good vendor should have documentation that explains everything it’s doing to address cybersecurity from development, through releases and ongoing maintenance. 2. Obtain Software Update Schedules The frequency with which manufacturers update their software varies. Each company is different. If you’re their customer, it shouldn't matter whether the vendor schedules updates every six months, three months, or more often than that. What does matter is that you know what to expect and have a plan for how to deal with that reality. For example, if updates only occur every six months, under what conditions are patches released to address vulnerabilities that emerge between updates? Customers must understand how often they'll be updating the software on their devices and ensure they have the resources to make it happen. Make sure stakeholders agree, upfront, who will be performing the software updates. Will it be the integrator who installed the system, the physical security system staff, the IT team, or the end user? Keeping an entire system current is a huge challenge, but a non-negotiable responsibility. Manufacturers who don't issue frequent releases and patches put the onus on customers to handle mitigation efforts on their own. In these instances, IT departments must be prepared to employ network segmentation, firewalls, security whitelists/blacklists, and other methods to protect their systems until a patch is released. If a company's security team has typically updated firmware only when something breaks, these additional responsibilities most likely require greater collaboration with IT departments and a shift in how security systems are managed. 3. Know the Warranty Terms and Duration of Software Support Organisations should understand the warranty policies for the devices they purchase Organisations should understand the warranty policies for the devices they purchase. Even more important is knowing when a device's software support will expire. Software support should extend well beyond hardware coverage. For example, if a camera has a five-year hardware warranty, customers should reasonably expect an additional five years of software support. When that period ends, companies must plan on replacing the device – even if it still works well. Without software updates, the device lacks vulnerability support and becomes too risky to remain on the network. Manufacturers should be transparent about their warranty and software support policies, helping organisations plan for device replacements that align with cybersecurity needs. 4. Request a Software Bill of Materials (SBOM) During the pre-discovery process, customers should request a Software Bill of Materials (SBOM) that provides a detailed inventory of the software running on each device, including open-source components. By revealing what software is "under the hood," the SBOM allows IT departments to be vigilant in protecting the company's systems from exposed vulnerabilities. For example, a customer should understand how Transport Layer Security (TLS) is being handled to secure a security solution's web server if it’s an open-source component like OpenSSL. 5. Assess Vulnerability Disclosure Practices CNA manufacturers represent the gold standard in cybersecurity practices Understanding how a manufacturer handles vulnerabilities is essential. Ideally, they should be a Certified Naming Authority (CAN) and report common vulnerabilities and exposures (CVEs) to national vulnerability databases such as NIST and MITRE. Doing so automatically includes any disclosed vulnerabilities associated with their devices in vulnerability scanners' databases. CNA manufacturers represent the gold standard in cybersecurity practices, but most security manufacturers do not reach this level. At a minimum, the vendors you choose to work with should have an email notification system in place to alert customers to new vulnerabilities. Remember – email notifications are only as reliable as the employees managing them, so investigate whether the manufacturer has a strong track record of keeping up with such communications. Ask to speak with customer references who have been using the solution for an extended period to ensure the vendor is diligent in its communications. Configuration phase: Ensuring a secure setup 1. Use Hardening Guides Once a device is purchased, configuring it securely is the next critical step. Manufacturers should publish hardening guides that detail the security controls available for their products and recommended practices for implementation. Between the features offered by the vendor and your company's own cybersecurity policies, make sure all possible encryption options are activated. Using HTTPS is vital for ensuring secure communication with devices. Many physical security devices default to HTTP to accommodate customer-specific network topologies and certificate management. Failing to implement HTTPS can leave sensitive metadata unencrypted and vulnerable to interception. 2. Consider Advanced Encryption Protocols Protocols are necessary to protect video data in transit from cameras to the VMS Some solutions offer built-in encryption protocols, like MACsec, which makes it impossible for data to be compromised as it is transmitted over the network. HTTPS is still necessary to secure the connection to the devices’ webservice, but while customers set up and configure their devices, MACsec will keep network data safe. Additionally, if you want to encrypt video streams, consider protocols such as Secure Real-Time Transport Protocol (SRTP), which secures the transmission of audio and video data over the Internet, or tunnelling methods like Secure Socket Tunnelling Protocol (SSTP), which encapsulate data packets for safe transmission between two points, even if the network is insecure. Such protocols are necessary to protect video data in transit from cameras to the Video Management System (VMS). Encryption should also extend to the VMS hard drive where video is stored. There are different methodologies to do that, but ultimately the goal is to encrypt data in transit and in storage. 3. Implement Remote Syslog In the case of a breach, each device maintains a set of logs that are useful for forensic investigations. However, if a device gets hacked, its log may not be accessible. Best practices dictate that companies should set up a remote Syslog server that maintains a copy of all device logs within a central repository. In addition to providing redundant data for investigations, a Syslog offers IT systems an efficient way to look for anomalies. Cybersecurity teams will receive immediate notification for events like unsuccessful login attempts so they can quickly figure out what's happening. Who is trying to log in? Why on that particular device? 4. Practice Healthy Password Hygiene Ideally, organisations should move towards using Active Directory or Single Sign-On (SSO) solutions One of the most basic and yet overlooked aspects of cybersecurity is the failure to manage user accounts meticulously. Many organisations use the same username and password for all security devices because it's simply too cumbersome to manage a network of devices in which each requires a separate, unique login. It's assumed that the system's primary administrators are the only ones who know the universal password. However, the system becomes vulnerable if anyone within this select group leaves the company and the password isn't changed or deleted right away. Ideally, organisations should move towards using Active Directory or Single Sign-On (SSO) solutions. This approach ensures that employees throughout a company are each assigned a unique login credential that they use for any systems they use throughout the organisation. When they leave, their passwords and access are universally terminated along with their accounts. If SSO is not an option, regular password changes and prompt account deactivation are critical. Decommissioning phase: Securely retiring devices At some point, physical security devices will reach the end of their useful life. When that time comes, companies must take care in how they dispose of their devices. A good vendor will provide guidance on how to clear memory chipsets and restore factory defaults. Improper decommissioning can lead to severe risks. For example, if an improperly decommissioned device is sold on the secondary market or retrieved from a dumpster, an attacker could gain access to sensitive network configurations and use this information for malicious purposes. Conclusion Deploying physical security solutions involves more than just securing buildings and assets; it also requires robust measures to protect against cybersecurity threats. From assessing vendors and understanding update policies to configuring devices securely and managing decommissioning processes, each step presents potential pitfalls that, if overlooked, could expose organisations to significant risks. By incorporating the techniques discussed into their deployment protocols, organisations can ensure their physical security solutions provide comprehensive physical and digital protection.

Unlocking new potential in video security through AI

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.

The future of home security: how AI integration is rapidly changing security systems for the better

As part of ever-evolving technological advancements and the increase in digitisation, home security systems remain a vital piece of equipment for at least 39 million households in the U.S., and as many as 13 million more households may install new security systems in the next 12 months. Global home security market In addition, a recent study found that 60% of burglars are deterred from attempting a burglary when a home has a security system, looking for alternative targets that are easier. Another similar study found homes without security systems are 300% more likely to experience a burglary. It’s estimated the global home security market is expected to grow to $84.4 billion as more and more people install home security systems as a way to ensure their safety. High-tech security devices Home security systems and the technology behind them will continue to expand and integrate further With the ongoing need for home security systems and the introduction of technology such as Artificial Intelligence (AI), home security companies are finding new and innovative ways to improve the home security experience by installing high-tech security devices. These devices are changing how we protect our homes, valuables, families, pets, and more. As we look ahead to the future, home security systems and the technology behind them will continue to expand and integrate further within the home as AI evolves and takes on a more meaningful and deeper role in the home security industry. Features of AI-based home security systems Most home security systems already use AI regularly for features like smart cameras, motion sensors, and alarms. These offerings incorporate AI to detect and respond to potential security threats, differentiating between everyday activities and potential suspicious behaviour and then alerting homeowners based on the activity. As AI expands the capabilities of critical security features such as facial recognition, voice control connectivity, and enhanced video capabilities, it will significantly improve the traditional security systems we use today, providing additional means of not only protecting homes but also streamlining the overall home security system. Future advancements in AI home security systems Increased integration of security devices through AI As AI continues to evolve, we can expect to see increased integration and connectivity of devices included in a home security system and home – all powered by AI. This includes hardware such as cameras, motion detectors, keypads, sensors, and smart locks, as well as software, such as digital apps. This increased connectivity will not only make it easier for homeowners to manage their security system but also to customise their home and home security to meet their evolving needs. Voice control connectivity The new hands-free approach to home security enhances the user experience and opens up new possibilities Voice control connectivity is yet another key feature that is gaining popularity in AI-powered home security systems. Security system users can control and monitor their security systems using voice commands similar to how Amazon’s Alexa works, making security systems more convenient and user-friendly. The new hands-free approach to home security not only enhances the user experience but also opens up new possibilities for seamless integration with other smart home devices and mobile devices. AI will help personalise and individualise security settings Relying more heavily on facial recognition technology, AI algorithms integrated into home security systems will become more personalised and tailored to individual users based on their preferences. Imagine a security system that recognises each member of your family and adjusts its settings and alerts based on each user’s unique preferences and habits. Thanks to facial recognition improvements in recent years, this new level of customisation will enhance security and improve the ease of use, making home security more intuitive and user-friendly. By incorporating personalisation via AI into home security systems, simple tasks like disarming the system when returning home or arming the system before going to bed at night will be much more efficient, and security settings will be saved based on each user’s preferences. AI will analyse threats before they become emergencies AI-powered automation will play a heightened role in the future of home security systems as it learns to proactively analyse and respond to potential threats, security breaches, and emergencies like fires or carbon monoxide leaks. Through real-time monitoring, AI will begin to predict and prevent security breaches before they occur, working efficiently with human counterparts for an effective approach to security monitoring. Security monitoring AI linked to a carbon monoxide detector may notice the levels rising before they reach a dangerous level For example, through camera monitoring, AI will learn how to tell the difference between normal and suspicious activities, automatically adjusting your security settings and alerting you of a potential risk. Similarly, AI linked to a carbon monoxide detector may notice the levels rising before they reach a dangerous level and alert the security system user and monitoring service in advance. The AI evolution of home security The traditional idea of home security systems, with physical locks, keypads, and alarms, is rapidly changing into a more intelligent system powered by AI. Just as the cell phone industry revolutionised communication by making phones constantly accessible to us all, AI is on the cusp of transforming our home security systems into a much safer and more user-friendly experience. Shortly, we’ll see a world where every aspect of home security systems is easily accessible on one or multiple devices within the home or even on mobile devices, boosted by the help of AI. From keyless entry systems that recognise our faces to AI assistants that communicate with us and adjust settings based on our preferences, the possibilities are truly endless. A safer, smarter, and more secure future As AI continues to advance and becomes more integrated into home security systems and life in general, the future will bring enhanced safety, security, convenience, and peace of mind for homeowners. As we move towards a future where AI plays a larger role in our daily lives, we can expect to see a shift in the way we think about and approach home security systems – in fact, it’s already happening. The traditional security setup of the past is being replaced by a new era of intelligent, interconnected, and proactive home security systems that work seamlessly. With AI as our ally and incorporated into our home security systems, we can look forward to a safer, smarter, and more secure future for our communities, homes, and loved ones.

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Security beat

In age of misinformation, SWEAR embeds proof of authenticity into video data

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.

Indoor drones ready to deploy in multiple security verticals

Security applications for drones have evolved to provide benefits such as bird's-eye views of large areas, easy access to remote locations, and rapid deployment. However, to date, most drone applications have been outdoors. Not for long. Today, indoor drones are also finding unique opportunities for enhanced surveillance, security, and operational efficiency in indoor environments such as offices, warehouses, self-storage facilities, and malls. Indoor drones can navigate complex indoor spaces, providing real-time data and monitoring without the limitations of fixed cameras. New era of autonomous robotics A significant advantage of using drones indoors, as opposed to outdoors, is their ability to operate fully autonomously, circumventing U.S. Federal Aviation Administration (FAA) regulations that restrict such autonomy in outdoor environments. A new era of autonomous robotics enables drones to work seamlessly for users without the need for specialised flight training. A single security manager can oversee multiple indoor drones simultaneously with simple map clicks or prompts. A new era of autonomous robotics enables drones to work seamlessly for users Indoor monitoring and inspection Indoor Robotics is a company seeking to revolutionise indoor monitoring and inspection through its Control Bridge platform guiding indoor drones. Since its founding in 2018, Indoor Robotics has evolved through years of market engagement and product development. After initially recognising a demand for autonomous indoor monitoring, the company found that existing hardware fell short. “However, we understood the challenges of full autonomy and knew we would solve it using drones,” says Bar Biton, Marketing Manager of Indoor Robotics. Indoor Robotics has evolved through years of market engagement and product development Hardware challenges Seven years later, with the hardware challenges addressed, the company is shifting focus to continually increasing value for security managers, especially with generative AI (artificial intelligence). In 2018, the problem was charging methods, which has been solved with ceiling docking stations and five patents. “Today it’s about making indoor environments safer and even saving lives by identifying blocked emergency exits, missing safety gear, leaks, fire hazards and more,” says Biton. While indoor navigation presents challenges—such as the unreliability of GPS and the need for precision — Indoor Robotics has dedicated significant resources to achieve centimeter-level accuracy and ensure the utmost safety, maintaining a record of zero safety incidents to date, says Biton. Indoor navigation presents challenges—such as the unreliability of GPS and the need for precision Advanced AI-driven navigation systems Navigation challenges for indoor drones include manoeuvering through confined spaces, avoiding obstacles, and maintaining stable flight in varied lighting conditions. To address these, Indoor Robotics employs advanced AI-driven navigation systems, real-time 3D mapping, and robust obstacle avoidance technologies. These solutions enable drones to adapt to dynamic environments, ensuring precise and safe navigation. Additionally, the Control Bridge platform provides real-time data and monitoring, allowing drones to adjust their routes and respond to changing conditions effectively, thus enhancing their operational reliability. Highly versatile indoor drones find applications across numerous vertical markets such as retail, logistics, healthcare, and corporate settings. Key use cases encompass security surveillance, where drones monitor premises continuously; maintenance checks, especially in hard-to-reach areas; safety inspections to comply with regulations and company policies; and emergency response to provide real-time data during incidents. In warehouses, drones efficiently inspect high shelves. Healthcare facilities and data centres use them to oversee restricted zones. Additionally, corporate offices employ drones to automate after-hours security, safety and maintenance routines. Indoor Robotics employs advanced AI-driven navigation systems, real-time 3D mapping, and robust obstacle-avoidance technologies Alerts to the remote management team One Indoor Robotics client, a global tech company, deploys drones to enhance site surveillance and operational efficiency across six offices in three countries. The drones conduct regular security patrols after-hours, monitor facility activities, and ensure compliance with safety standards. This deployment has significantly improved the overall safety and security of their offices. The drones provide real-time alerts to the remote management team, enabling prompt responses to any anomalies, such as maintenance issues or unauthorised access. “The key advantage is the unified security standard provided by our Control Bridge operating system, allowing them to oversee all their sites from one centralised platform, ensuring consistent security management across all locations,” says Biton. When indoor drones co-exist with human workers, primary challenges include ensuring safety and preventing disruptions. Drones are equipped with advanced sensors and AI-driven obstacle avoidance systems to detect and navigate effectively around people. Strict operational protocols and designated flight paths are implemented to minimise interactions. Additionally, many drone operations are scheduled for after-hours to further reduce potential disruptions. “Safety is our top priority, and we invest significant resources to ensure it,” says Biton. “We are proud to report zero safety issues to date, reflecting our commitment to maintaining a secure environment for both drones and human workers.” Deploys drones to enhance site surveillance and operational efficiency across six offices in three countries Implementation of indoor drones Indoor drones are significantly more cost-effective and affordable when compared to traditional security methods like additional cameras, sensors, manpower, and even ground robots, says Biton. They cover larger areas and provide dynamic surveillance in less time, offering real-time data collection and enhanced flexibility. Unlike cameras or ground robots, drones eliminate blind spots and adapt to environmental changes autonomously. They also offer substantial indirect savings by optimising maintenance routines, according to Indoor Robotics. For instance, a drone can instantly identify issues in hard-to-reach areas, allowing for immediate, targeted responses, instead of requiring an inspector first and then a technician, thus streamlining maintenance processes. “The biggest obstacle to greater implementation of indoor drones is education and awareness,” says Biton. “Many people are not yet exposed to the concept of autonomous indoor drones and may find it hard to believe they really work.” To overcome this, Indoor Robotics focuses on creating awareness and educating customers about the reliability and benefits of the technology. Demonstrations, case studies, and clear communication about the capabilities and safety of drones are key. By showcasing successful implementations and providing hands-on experiences, Indoor Robotics seeks to build trust and drive wider adoption of indoor drone technology in security applications. Control Bridge operating system Drones are designed with strict privacy controls and advanced AI to ensure they respect privacy norms A common misconception is that indoor drones are intrusive and pose significant privacy risks. However, drones are designed with strict privacy controls and advanced AI to ensure they respect privacy norms. They operate primarily during off-hours and are programmed to avoid sensitive areas, focusing solely on enhancing security and operational efficiency. The solution also includes rigorous data protection measures to safeguard any collected information, ensuring compliance with privacy regulations and addressing concerns effectively. Soon, automation will become integral to tasks across all facility types, from manufacturing and logistics to retail and office spaces. Using Indoor Robotics’ Control Bridge operating system, facility managers will deploy fleets of robots to identify issues, collect data, and gain insights to enhance operations, maintenance, and safety. Facilities will benefit from 24/7 AI-driven monitoring, eliminating the need for occasional surveys. Managers will receive immediate alerts for any anomalies, with preventive maintenance tasks seamlessly integrated into building management platforms, ensuring optimal performance and safety. New standards in the industry The Indoor Robotics platform-agnostic approach provides flexibility and scalability. “As we continue to evolve, we support more and more platforms, enabling our clients to tailor their indoor monitoring solutions to their specific needs,” says Biton. “We believe that the future of security lies in intelligent, automated systems that can adapt to dynamic environments and provide real-time insights,” says Biton. Indoor Robotics seeks to be at the forefront of this transformation, setting new standards in the industry and paving the way for a safer, more efficient future.

RapidSOS enables critical data sharing to improve emergency response

In an emergency, information is pivotal. More information provides better understanding of an emergency and empowers potentially life-saving decision-making. Emergency response teams depend on information to guide their efforts and to deliver targeted assistance. On the front lines of emergency response are 911 and field responder agencies, which must direct reaction to life-or-death situations rapidly and efficiently. Historically, 911 operators had to respond based on very little information, perhaps just a voice on the phone or a location on their screen. Providing critical information Today, there are literally millions of information sources available, ranging from connected buildings to vehicle telematics to live video streams to health information from wearable devices. In fact, there are 540 million connected devices, any one of which could provide critical information in an emergency. But how can those information sources be leveraged to improve emergency response? That’s the mission and value proposition of RapidSOS, an ‘intelligent safety platform’ company that connects 911 operators with the vast universe of information available to promote better and faster emergency response. Highly sophisticated operation The platform is integrated into every major public safety software system and first responder agency “RapidSOS fuses human and artificial intelligence to put critical information from any connected device directly into the existing systems and operating procedures of first responders across the United States,” says Michael Martin, CEO of RapidSOS. RapidSOS is widely used by first responders. The platform is integrated into every major public safety software system and first responder agency. There are more than 4,600 software integrations that serve more than 21,000 first responders and 911 agencies. In 2023, RapidSOS supported the lifesaving work of public safety across 171 million emergencies with 3.3 billion data payloads. The system is adaptable and configurable to support any agency, from a highly sophisticated operation in New York City to a local sheriff running their own 911 center. Intelligent analytics and reporting RapidSOS Unite is the latest evolution of the product, a single solution that includes AI automation, rich content pathways, redundant connection to caller phones, and access to millions of connected devices. In an emergency, Unite intelligently fuses data from among millions of sensor feeds into a unified picture of an incident, allowing public safety officials to view real-time location, health profile, telematics, alarm data, and more. RapidSOS Unite is the latest evolution of the product, a single solution that includes AI automation RapidSOS offers core modules that handle call, text, video, sensor, mapping, and administration tools, and that provide partner data from connected devices. Additional modules provide enhanced geographic information system (GIS) data, and automated translation and transcription. There is also a single sign-on (SSO) upgrade, intelligent analytics and reporting, and seamless integration into field responder applications. Field responder applications Consider how an emergency might unfold and how RapidSOS can help. In a car accident, data from a modern automobile telematics system can alert a 911 operator of the accident as it happens. Data from a passenger’s wearable device might provide information about their health and condition. A nearby video or traffic camera could fill in details of how the accident occurred. Useful information in an emergency might come from any one of thousands of sources, including public safety data, sensor feeds, enterprise security systems, smart phones, etc. In a train derailment, electronic access to the cargo manifest can identify which train cars contain hazardous materials and how to manage the specific type of hazmat. This information could save valuable time when responding to incidents like the Feb. 3, 2023, Norfolk Southern train derailment involving 38 cars in East Palestine, Ohio. Consider how an emergency might unfold and how RapidSOS can help Institutional security partners Norfolk Southern is one of the companies that provides information to first responders using RapidSOS; in effect, the company provides a direct digital link from their rail security operations to any first responder in the United States. Amazon’s global operations centers also interface with RapidSOS to provide critical information to first responders. Partnering with corporate security helps to better support the flow of data from institutional security partners and their solutions. Information can transform and guide emergency responses. For example, in a structure fire, real-time sensor feeds throughout a building can help 911 and first responders understand how the fire is progressing. Real-time security camera footage Having access to live feeds can save lives as 911 provides pre-arrival instructions such as CPR Leading the way to providing video feeds from private camera systems to 911 operators is an agreement between Eagle Eye Networks and RapidSOS, which was announced in April 2024. The agreement allows an enterprise to opt-in to share real-time security camera footage from an Eagle Eye video stream during a live 911 call. Having access to live feeds can save lives as 911 provides pre-arrival instructions such as CPR. “Security cameras are crucial in many locations, including schools, but previously those cameras could not be accessed by 911 during an emergency but were only used for investigation after an incident,” says Martin. Improving fire and life safety systems RapidSOS is also integrated with Honeywell’s Connected Life Safety Services (CLSS) system, a cloud platform that combines software and hardware to improve fire and life safety systems. Technology integrations between the two companies further modernise and digitise the public safety communications process to provide faster, more accurate communications with emergency centers (i.e., 911 agencies). RapidSOS technology securely transmits detailed data about an emergency CLSS provides real-time visibility and connectivity to help systems integrators and facilities managers make informed decisions and manage fire systems more efficiently. When combined with Honeywell's solutions, RapidSOS technology securely transmits detailed data about an emergency, such as the type of hazard, severity, and location within the impacted building, to emergency response centers. Video object detection Rapid SOS’s emerging Harmony artificial intelligence (AI) product serves as a ‘co-pilot’ for 911 operators, helping them manage the high volume of emergencies by making their response more efficient. Harmony pulls all the sensor feeds in an emergency and works to make only the most important information available in the hands of 911 and first responders. Harmony can take key insights from text and video data, use ‘sentiment analysis’ to determine the emotion tone of a message, and help 911 professionals using language translation, keyword alerts and video object detection. Harmony can help local agencies as they address a 25% average staffing shortage by providing additional support to 911 professionals while lessening the workload. Harmony is also working to help RapidSOS expand the ecosystem, stitching more data together and quickly making it more actionable than ever. Emergency response system RapidSOS also interfaces with Iamresponding, a comprehensive end-to-end emergency response system for first responders in the fire and other emergency sectors. Iamresponding’s field responder application is used by RapidSOS to get information out to first responders in the field. More than 650,000 first responders use RapidSOS’s field application RapidSOS’s recent acquisition of Iamresponding helps the company improve the connection with the last mile “in-the-field” piece of the puzzle, ensuring partners across computer-aided dispatch (CAD), integrated applications, mobile data terminals, body cameras and other responders have access to critical data. More than 650,000 first responders use RapidSOS’s field application. Enhancing emergency response RapidSOS’s Safety Pioneer Program formalises the important partnership between RapidSOS and public safety agencies. Participants in the program receive early access to new platform features, contribute to the platform roadmap, and drive feedback to enhance emergency response. “911 and first responders do incredible lifesaving work,” says Martin. “Everything we have done and built at RapidSOS is a direct result of the engagement, partnerships, inside advice and insight we have gotten from public safety. We have learned from them, developed new technologies and tested them.” Martin adds: “Companies have data and we now know how to make that data actionable into the hands of 911 and first responders to save lives. This is an exciting moment for us continuing our mission in partnership with public safety, and for technology and security companies to have a major hand in that.” {##Poll1719488782 - What is the most valuable benefit of artificial intelligence (AI) in an emergency call center?##}

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Round table discussion

How should total cost of ownership (TCO) impact security decisions?

Direct costs such as purchase price and maintenance are important elements in the total cost of ownership (TCO). However, there are others. Elements such as opportunity costs of lost revenue or hidden costs of energy consumption and environmental consequences can also impact the measure of TCO. Costs of training, integration, support, and scalability can also be examined. Considering the security industry impact of TCO, we asked this week's Expert Panel Roundtable: How does/should total cost of ownership (TCO) impact the decision-making process when choosing technologies for security?

What is the most overlooked factor when installing physical security?

While technology like cameras, alarms, and access control systems are crucial components, they are only as effective as the people who use and manage them and the systems that deploy them. When installing physical security systems, the focus should be on the holistic operation of the system rather than the functioning of individual components. However, in the end, overlooking critical factors can undermine the totality of system performance. We asked this week's Expert Panel Roundtable: What is the most overlooked factor when installing physical security systems?

How are new technologies impacting casino surveillance and security?

Video surveillance has been a dominant factor in the casino market since the 1950s when video replaced the use of elevated walkways that allowed casino security personnel to monitor the gaming floor from above. As technology continues to evolve, we can expect to see more innovative uses of video in the casino market. Beyond video, other technologies are also transforming the casino experience. We asked this week’s Expert Panel Roundtable: How are new technologies impacting the casino surveillance and security market?

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