Data Security

Cisco XDR enhancements boost AI-powered security

Cisco has made several transformative innovation and partnership announcements that will help security professionals secure and harness the power of AI. An increasingly sophisticated threat landscape combined with an expanding talent shortage means the need has never been greater for machine scale security and response. According to Cisco’s upcoming 2025 Cybersecurity Readiness Index, companies worldwide underestimate the complexities of securing AI, with 86% saying their organisations ha...

Cequence Security tackles AI bot management challenges

Cequence Security, a pioneer in API security and bot management, announces significant enhancements to its Unified API Protection (UAP) platform to deliver the industry’s first comprehensive security solution for agentic AI development, usage, and connectivity. This enhancement empowers organisations to secure every AI agent interaction, regardless of the development framework. By implementing robust guardrails, the solution protects both enterprise-hosted AI applications and external AI...

Bugcrowd expands red team services for cybersecurity

Bugcrowd, a pioneer in crowdsourced cybersecurity, announces the launch of the first-ever offering to apply the scale, agility, and incentive-driven power of crowdsourcing to red teaming. This new service connects customers with a global network of vetted ethical hackers for a variety of red team engagements — fully managed through the Bugcrowd Platform. This release sets a new benchmark in the red team services market, enabling organisations to test their security environments with...

Abnormal AI unveils new autonomous AI agents

Abnormal AI (Abnormal Security), the globally renowned company in AI-native human behaviour security, has unveiled its most ambitious product release to date — introducing autonomous AI agents that revolutionise how organisations train employees and report on risk, while also evolving its email security capabilities to continue to stop the world’s most advanced email attacks. In a year defined by the explosive use of malicious AI for cybercrime, Abnormal is doubling down on its miss...

Cowbell UK launches Prime One tech for SMEs

Cowbell, a pioneering provider of cyber insurance for small and medium-sized enterprises (SMEs) and middle-market businesses, announced the UK launch of Prime One Tech; professional indemnity and cyber coverage for technology companies with up to £1 billion in annual turnover, providing limits of up to £5 million. Prime One Tech combines Cowbell’s flagship Prime One cyber programme with specialised PI technology coverage. It is enhanced by Cowbell Co-Pilot, a Generative AI-pow...

Rubrik's identity resilience secures data access

In a world of nonstop cyberattacks, Rubrik announced its newest upcoming solution, Identity Resilience, designed to secure the entire identity landscape alongside data. Identity Resilience aims to protect the most common entry points for attackers – human and non-human identities (NHIs) – to help organisations maintain operations with minimal downtime. Rubrik’s solution Rubrik’s solution is designed to secure this weak infrastructure that powers virtually Identi...

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Expert commentary

Upskilling and evolving: the changing role of systems integrators

Technology advances in the security industry are transforming the way modern systems are designed and installed. Customers today are looking for greater scalability and flexibility, lower up-front costs, and operational efficiency. Cloud-based software as a service (SaaS) solutions, AI-enhanced tools, and IoT-enabled sensors and devices are increasingly in demand. The traditional role of the systems integrator is evolving as a result. While security integrators have always worked closely with end users, today’s pioneers go beyond installation and maintenance. They align security strategies with evolving business needs, integrating IT, cybersecurity, and data-driven insights into their offerings. A look at the past and present Integrators are often asked to help tailor solutions and provide expertise in IT and cybersecurity Traditionally, systems integrators specialised in installing and maintaining wired physical security systems like CCTV, access control, and alarms. The service model was built around large, up-front investments and project-based installations. However, today customers are seeking comprehensive solutions. They’re looking to wirelessly integrate security infrastructure with cloud-based SaaS systems and IoT devices. While modern systems are often faster to deploy, they’re most effective when supported by ongoing consulting and strategic planning. Integrators are often asked to help tailor solutions and provide expertise in IT and cybersecurity. Data requirements and modern systems Data requirements have also changed. Modern systems collect vast amounts of data. Advanced analytics, machine learning, and automation are now must-have tools for actionable insights. Security integrators can help end users set up custom dashboards, automations, and continuous system optimisation. Let’s look at some of the specific ways the role of systems integrators is evolving and how to adapt and succeed. Strengthen your IT expertise Integrators with IT expertise can ensure that hardware is optimised and maintained for peak performance The competitive landscape today includes not just security specialists but also IT-focused integrators and SaaS providers. Systems integrators with expertise in traditional physical security solutions plus IT experience offer unique value. They understand the real-world security challenges and opportunities, along with cybersecurity and network best practices. Integrators with IT expertise can also ensure that hardware is optimised and maintained for peak performance. Their experience with legacy systems allows them to offer practical recommendations on cost-effective approaches, such as upgrading or integrating older hardware with new digital solutions. Consider who’s making the purchase decisions Traditionally, security integrators primarily sold to security directors, facility managers, and operations teams. Now, multiple stakeholders may be involved in decision-making. IT teams, CIOs, and CTOs often weigh in on purchase decisions when cloud-based security and SaaS solutions are under consideration. Customers today aren’t just shopping for cameras, access control panels, alarms, and other hardware components. They’re looking for security ecosystems that can integrate with enterprise-wide IT infrastructure and business applications. When working with these different teams, consider outlining the system's return on investment (ROI). How can the solution reduce risk for various departments? Can it help improve operational efficiency or reduce the time required to onboard and train staff? Will it make regulatory compliance easier to manage? Focus on the long-term value for the entire organisation. Take a consultative approach Another way systems integrators are adding value is by offering vertical specialisation Installation fees remain important for many integrators, but there may be additional consultative opportunities to build long-term relationships with customers. Offer services such as roadmap planning, hardware and integration maintenance, training to certify end users on the manufacturer’s product, and cybersecurity services. While cloud-based solutions reduce on-premises maintenance, they don’t eliminate the need for ongoing support and training. Consider offering training opportunities. These can lead to other benefits as well. Better-educated and technically proficient customers are usually more willing to adopt new technologies. They understand the value of these investments and have more confidence that they’ll see results. Another way systems integrators are adding value is by offering vertical specialisation. Healthcare, sports venues, critical infrastructure, education, retail - each specialty has its own set of challenges, partner networks, regulatory restrictions, training needs, and business requirements. Integrators who specialise are uniquely positioned to offer key sector-specific insights that are invaluable to their clients. Embrace the cloud A key growth area for integrators is supporting customers in their shift to cloud deployments. Cloud solutions aren’t a one-size-fits-all solution. Each organisation is evaluating options and deciding whether cloud, hybrid, or fully on-prem solutions are the right fit for its unique needs. A key growth area for integrators is helping clients in their shift to cloud deployments Helping customers navigate and adopt cloud or hybrid solutions opens new opportunities to expand your business and deepen your relationship with your customers. Systems integrators who sell cloud solutions have the opportunity to add new layers to services for more value for customers. With a cloud solution that's easy and fast to deploy and managed and maintained by the provider, you can reduce overhead costs, staff training, and truck rolls via remote customer support. These benefits also allow you to spend time developing greater expertise in your customers’ processes. Using this knowledge, you can tailor your services towards potential productivity gains for your customers and turn them into additional sales. You ensure that your customers get the most out of the technology that’s available and that they have already purchased. Highlight your focus on cybersecurity Cybersecurity is no longer solely an IT department's responsibility. While dedicated IT security teams may still handle broader network defense, integrators play a crucial role in securing access control, surveillance, and IoT devices within a security framework. If unsecured, these devices can provide an entry point for cyber criminals to gain access to an organisation’s network. Cybersecurity is no longer solely an IT department's responsibility To best protect end users from cyberattacks, choose physical security systems with built-in security and privacy-by-design features. Help customers implement best practices to ensure their entire ecosystem is designed, built, and managed with end-to-end security in mind. Once implemented, work with your manufacturers, consultants, and end users to ensure that vulnerabilities are identified and mitigated. Every person on the network plays a role in keeping cyber threats at bay. Lean into the power of partnerships In today’s complex and dynamic security landscape, choosing the right technology partners is crucial. Ask potential partners to share their technology roadmap, and how you can offer feedback or participate in discussions about industry trends. Ideally, your partners will have a program in place to get input from integrators and end users, so they can develop products that are designed to address their most pressing issues and concerns. Your manufacturer partners should be working to help identify the evolving needs of customers and communicate these insights to systems integrators. Seek partners who actively support integrators to understand how security is evolving In addition to a good experience for the end user, strong manufacturer partners also offer solutions to streamline and automate workflows for integrators. It should be easy to order and check your shipping statuses online, for example. These are simple things that save you time and demonstrate your partner’s care for your business. Seek partners who actively support integrators to understand how security is evolving. While training is often offered on-site, some companies are now also offering blended learning models so integrators and their technicians can reduce classroom time and stay out in the field. Evolution is an opportunity Security integrators with traditional physical security expertise remain indispensable because they understand real-world risks and regulatory requirements. They can provide hands-on system deployment and optimisation. Now, there are new opportunities to build long term customer relationships. As the physical security industry undergoes this profound shift, adaptation is key. By embracing cloud and hybrid solutions, integrators can unlock new revenue streams, enhance customer relationships, and stay ahead of technological advancements. With the right partnerships and a forward-thinking mindset, systems integrators can navigate this transformation and take advantage of new opportunities being presented by evolving technology. Leverage your deep industry experience while upskilling in cloud, cybersecurity, and IT. The strongest approach is for end users, systems integrators, IT specialists, and manufacturers to work together to navigate industry changes.

Privacy measures in modern facial recognition tech

In today's rapidly evolving security landscape, facial recognition has become a buzzword that often triggers privacy and data protection concerns. However, many security professionals may not realise that "facial recognition" is an umbrella term encompassing various technologies, each with distinct applications and privacy implications. Let's dive into what these technologies really mean for security system resellers, integrators, and end-users. Facial recognition tech At its core, facial recognition technology re-identifies or verifies individuals based on their facial features, which are used as biometrics. However, not all biometric systems are based on unique identifying features. Some analyse general characteristics like facial hair style or other distinctive marks. Such traits, known as soft biometrics, can aid in identification but aren't unique enough to verify someone's identity uniquely. Personally identifiable information Modern systems incorporate robust safeguards, including data encryption and strict retention policies While facial recognition technology has applications ranging from access control to crime prevention to investigation, its implementation varies widely depending on specific needs. Modern systems incorporate robust safeguards, including data encryption and strict retention policies, to ensure the responsible handling of any personally identifiable information (PII). Understanding key technologies and applications Facial recognition encompasses several distinct technologies, each serving specific purposes. Here's a comprehensive breakdown of these technologies and their real-world applications. Key technologies: Face Verification (1:1): A one-to-one comparison where a person claims an identity (e.g., by showing an ID card), and the system verifies whether the face matches the provided identity. Example: In airports, face verification is used for automated passport control. When a traveler approaches a gate, their face is scanned and compared to the photo stored in the government database. If the face matches, the traveler is allowed through the gate without manual checks. Face Identification (1 to many): A one-to-many comparison, where a face captured by a system is compared to a database of multiple faces and facial features to identify the person. This process is often used in security or surveillance contexts. Example: In the case of a missing child at an airport, a system could scan the faces of all passengers passing through checkpoints and compare them to a photo of the child in a database. If a match is found, it triggers an alert. Face Re-identification (Many to Many): Many-to-many comparisons where multiple faces are compared to multiple other faces. This is typically used to track a person’s movement anonymously across different areas by matching their facial images at different checkpoints, without knowing their identity. Example: In a retail environment, facial re-identification might be used to track how long an anonymous person spends moving from one section of a store to another by re-identifying their face as they enter and leave different camera views. Facial recognition can be used both for real-time and offline applications. Real-Time Facial Recognition: Real-time facial recognition refers to the immediate processing of a live video feed, comparing faces to a database to generate instant alerts when a match is found. Example: At large public events like sports stadiums, real-time facial recognition might be used to detect banned individuals (e.g., known hooligans) as they attempt to enter. Post-Event (Recorded) Facial Recognition: This refers to analysing video recordings after the event has occurred, rather than in real-time. Facial recognition is applied to recorded data to identify or track individuals. Example: After a crime, investigators could use facial recognition software on recorded video from security cameras to identify suspects by matching their faces to known databases. These definitions cover various aspects of facial recognition technology, its different applications, and how biometrics are used for identification and tracking purposes. Biometrics: Biometric technologies use a person’s distinguishing physical characteristics, such as their face, fingerprint, or iris, to identify them. Example: Fingerprint or face scanning for unlocking a phone or using iris recognition for secure entry at high-security buildings like data centers. Hard Biometrics: Hard biometrics refer to physical characteristics that are sufficiently unique enough to be used for identifying a specific individual, such as a face, fingerprint, or iris. Example: Using iris recognition at airport security checkpoints to confirm the identity of a traveler. Soft Biometrics: Soft biometrics (personal features) include general attributes like height or body shape, which are not unique enough to identify a person on their own but can help narrow down re-identification when combined with other information. Example: Using height and body shape to help identify a suspect in a camera scene when facial features alone are unreliable. Appearance Similarity: This refers to distinguishing between people based on their appearance (e.g., clothing, accessories) rather than biometric features. It’s often used for accelerated investigation and statistical analysis rather than identification. Example: A retail store may track customers based on the clothes they are wearing to monitor how long they stay in the store, without tracking their faces or personal details. Liveness Detection: A method used to determine whether the subject in front of a facial recognition system is a live human being and not a photo or a video recording. Example: In some mobile payment systems, facial recognition requires users to blink or move their head slightly to ensure they are a live person and not someone trying to use a photo for authentication. Mathematical Representation: Non-reversible mathematical representations are lists of numbers based on a person's facial image or appearance based on clothing. These numbers represent characteristics but cannot be easily used to recreate the face. Example: When an organisation stores only the mathematical representations from a face rather than an actual image, even if the data is stolen, it is nearly impossible to recreate the person’s face or use the data with another system. Privacy and security considerations Modern facial recognition systems prioritise privacy through various protective measures, moving far beyond the basic security protocols of the past. Solutions integrate multiple layers of protection designed to safeguard personal data while maintaining system effectiveness. These sophisticated privacy controls work in concert to ensure responsible data handling and comply with evolving security standards. Key protective measures include: Biometric template isolation that keeps facial recognition templates separate from other personal data, with dedicated secure storage environments. Template encryption frameworks specifically designed for biometric data, using industry-standard protocols that protect facial features during both processing and storage. Biometric data anonymisation that converts facial features into non-reversible mathematical representations – into numbers - prevents the reconstruction of original face images. Cascading deletion protocols automatically remove both raw facial data and derived biometric templates after their authorised use period. Segmented access controls that separate facial recognition administrative functions (like enrollment and template management) from regular system operation. Privacy standards The key is selecting the right tool for each application and ensuring that personal data is collected The security industry continues to evolve, finding innovative ways to balance effective surveillance with privacy protection. By understanding this comprehensive range of technologies, security professionals can better serve their clients with solutions that address specific needs while maintaining appropriate privacy standards. The key is selecting the right tool for each application and ensuring that personal data is collected only when necessary and protected when it is not. Statistical analysis and pattern recognition The variety of facial recognition applications demonstrates that not all systems require storing personal information. Many modern solutions focus on statistical analysis and pattern recognition rather than individual identification, offering powerful security benefits while respecting privacy concerns. This balance of capability and responsibility represents the future of video security technology.

Global regulations of AI: the role and impact on the physical security industry

The artificial intelligence revolution in physical security has arrived, transforming how we protect people, assets, and infrastructure. From smart buildings that automatically adjust access protocols based on real-time threat assessments to healthcare facilities using AI-enhanced video analytics for patient safety, these technologies are reshaping the industry landscape. But with this transformation comes a new era of regulatory oversight that security professionals must navigate carefully. Convergence of AI The convergence of powerful AI capabilities with traditional security systems has created unprecedented opportunities for enhanced protections while simultaneously raising important questions about privacy, transparency, and responsible deployment. As these technologies become more sophisticated, security professionals face the dual challenge of maximising their potential while ensuring compliance with evolving regulatory frameworks. The current state of AI in security systems By combining multiple data streams, AI creates a more comprehensive and intelligent security ecosystem Today's AI-driven security solutions extend far beyond traditional security capabilities. Modern systems can understand complex human behaviours, analyse crowd patterns in transportation hubs, detect early signs of trouble in retail environments, and even predict potential security breaches before they occur. By combining multiple data streams — video feeds, access control systems, audio detection, and various sensors — AI creates a more comprehensive and intelligent security ecosystem. Industrial applications The impact is particularly evident in integrated security operations. In healthcare settings, AI systems can simultaneously monitor patient safety, manage access control, and detect unauthorised entries, all while maintaining strict privacy protocols. In education environments, these technologies help safeguard campuses by identifying unusual behaviour patterns while respecting student privacy rights. Retail operations benefit from AI's ability to not only detect potential theft but also analyse customer flow patterns and identify operational inefficiencies. The technology's capabilities continue to expand through: Advanced anomaly detection that establishes normal activity patterns and flags deviations. Predictive analytics that forecast potential security risks before incidents occur. Natural language interfaces that allow security teams to query video data using voice or text commands. Multimodal analysis combining data from thermal cameras, LIDAR, IoT sensors, and other sources. Integration of multiple data sources Security systems are evolving into predictive platforms that can anticipate and prevent incidents These innovations represent just the beginning of AI's potential impact on security applications. As algorithms become more sophisticated and computing power increases, security systems are evolving into predictive platforms that can anticipate and prevent incidents rather than simply respond to them. The integration of multiple data sources allows for a more nuanced understanding of security situations, enabling more precise and effective responses to potential threats. Emerging regulatory frameworks The rapid advancement of AI capabilities has prompted governments worldwide to develop comprehensive regulatory frameworks. The European Union has taken the lead with its AI Act, categorising AI systems based on their potential risks and establishing strict guidelines for high-risk applications. Focus on safe, secure AI The United States is following suit, with recent executive orders focusing on safe, secure, and trustworthy AI development. These initiatives reflect growing global awareness of the need to balance technological advancement with ethical considerations and human rights protection. These regulations are reshaping how security technology providers approach development and implementation. Responsibility-by-design approach Companies must consider the entire lifecycle of their AI solutions, from initial development The focus has shifted toward a "responsibility-by-design" approach, where privacy protection, data security, and ethical considerations are built into systems from the ground up. This includes robust testing protocols, responsible data practices, and continuous monitoring of AI systems post-deployment. Companies must consider the entire lifecycle of their AI solutions, from initial development through deployment and ongoing operation. Transparency, accountability For security professionals, this regulatory evolution means adapting to new requirements around transparency, accountability, and human oversight. Security teams must document how AI systems make decisions, implement safeguards against bias, and ensure human operators maintain final authority over critical security decisions. The regulations also emphasise the importance of data protection, requiring organisations to implement strict controls over how information is collected, stored, and used within AI-powered security systems. Address challenges of AI The regulatory landscape continues to evolve, with new frameworks emerging that specifically address the unique challenges of AI in security applications. These include requirements for regular system audits, mandatory impact assessments for high-risk deployments, and specific guidelines for handling sensitive personal data in security contexts. Organisations must also develop clear procedures for addressing potential AI system errors or biases, ensuring that corrective measures can be implemented quickly when needed. Preparing for the future The challenge lies in maximising security effectiveness while maintaining transparency and public trust The security industry stands at a crucial junction where innovation meets responsibility. As AI capabilities grow more sophisticated, security professionals must balance the use of these powerful tools while adhering to evolving regulatory requirements. This balance becomes particularly critical in smart city applications, where AI systems might monitor public spaces for safety while respecting individual privacy rights. The challenge lies in maximising security effectiveness while maintaining transparency and public trust. Proactive approach Success in this new landscape requires a proactive approach. Security teams should invest in understanding both the technical capabilities and regulatory implications of their AI systems. This includes developing clear protocols for data handling, establishing robust testing procedures, and implementing continuous monitoring systems that can detect and address potential issues before they become problems. Organisations must also create comprehensive training programs to ensure security personnel understand both the capabilities and limitations of AI-powered systems. Human-in-the-loop approach The human element remains crucial. While AI can process vast amounts of data and identify patterns beyond human capability, security professionals must maintain oversight and final decision-making authority. This "human-in-the-loop" approach ensures that AI serves as a powerful tool for augmenting human judgment rather than replacing it. Training and education become increasingly important as security teams must understand not only how to operate AI-enhanced systems but also how to interpret their outputs and make informed decisions based on AI-generated insights. An ever-evolving environment The integration of emerging technologies like large language models and computer vision will create new opportunities Looking ahead, the security industry will likely see continued evolution in both AI capabilities and regulatory requirements. Future systems may incorporate more advanced predictive capabilities, enhanced natural language processing, and improved ability to understand complex human behaviours. However, these advancements will need to develop within an increasingly structured regulatory framework that prioritises privacy, transparency, and ethical use. The integration of emerging technologies like large language models and computer vision will create new opportunities while also introducing novel regulatory challenges. Physical security transformation The transformation of physical security through AI represents both an opportunity and a responsibility. By embracing responsible innovation practices while maintaining strong ethical standards, security professionals can help shape a future where advanced AI capabilities and regulatory compliance work together to create safer, more secure environments for everyone. Need for security guidelines The key to success lies in viewing regulatory requirements not as obstacles but as guidelines for developing more trustworthy and effective security solutions. As the industry continues to evolve, organisations that prioritise both innovation and compliance will be best positioned to leverage AI's full potential while maintaining public trust and regulatory compliance.

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Security beat

Speaking the language of ISC West: A guide to jargon and buzzwords

Anyone who has been in a proverbial cave for the last couple of years faced a language barrier at this year’s ISC West 2025 trade show. The industry’s latest wave of innovation has brought with it a new bounty of jargon and buzzwords, some of which I heard at ISC West for the first time. As a public service, we are happy to provide the following partial glossary to promote better understanding of the newer terms. (Some are new to the security industry but have been around in the IT world for years.) Obviously, if we can’t understand the meaning of the industry’s lexicon (and agree on the meaning of terms!), we will struggle to embrace the full benefits of the latest industry innovation. Not to mention, we will struggle to communicate. Generative AI Generative AI can identify an object in an image based on its understanding of previous objects This was perhaps the most common new(ish) term I heard bouncing around at ISC West. While the term artificial intelligence (AI) now rolls off everyone’s tongue, the generative “version” of the term is catching up. Generative AI uses what it has learned to create something new. The name comes from the core function of this type of artificial intelligence: it can generate (or create) new content. It doesn’t just copy and paste; it understands the underlying patterns and creates something original based on that understanding. In the case of video, for example, generative AI can identify an object in an image based on its understanding of previous objects it has seen. Video and security Generative AI can tell you something digitally about what is happening in an environment. There is no longer a need to write “rules;” the system can take in data, contextualise it, and understand it, even if it does not exactly match something it has seen before. In the case of video and security, generative AI offers more flexibility and better understanding. From 2014 to 2024, the emphasis was on detecting and classifying things; today AI is expanding to allow new ways to handle data, not so prescriptive and no more rules engines. Agentic AI Agentic AI refers to artificial intelligence systems that can operate autonomously to achieve specific goals Agentic AI refers to artificial intelligence systems that can operate autonomously to achieve specific goals, with minimal to no direct human intervention. In addition to the capabilities of generative AI, agentic AI can take action based on what it detects and understands. Use of agentic AI typically revolves around an if/then scenario. That is, if action A occurs, then the system should proceed with action B. For example, if an AI system “sees” a fire, then it will shut down that part of the building automatically without a human having to initiate the shutdown. There is a lot of discussion in the industry about the need to keep humans involved in the decision-making loop, so the use of truly autonomous systems will likely be limited in the foreseeable future. However, the ability of agentic AI to act on critical information in a timely manner, in effect to serve as an “agent” in place of a human decision-maker, will find its place in physical security as we move forward. Inference Inference is another common term related to AI. It refers to the process by which an AI model uses the knowledge it gained during its training phase to make predictions, classifications, or generate outputs on new, unseen data. The direct relationship of this term to physical security and video is obvious. In the simplest terms, an AI system is “trained” by learning patterns, relationships, and features from a large dataset. During inference, the trained model is presented with new questions (data it hasn't seen before), and it applies what it learned during training to provide answers or make decisions. Simply put, inference is what makes AI systems intelligent. Containerisation Dividing a massive security management system into several separate containers enables management of the various parts In IT, containerisation is a form of operating system-level virtualisation that allows you to package an application and all its dependencies (libraries, binaries, configuration files) into a single, portable image called a container. This container can then be run consistently across any infrastructure that supports containerisation, such as a developer's laptop, a testing environment, or a server in the cloud. In the physical security industry, you hear “containerisation” used in the context of separating out the various components of a larger system. Dividing a massive security management system into several independent containers enables the various parts to be managed, updated, and enhanced without impacting the larger whole. Genetec’s SecurityCentre cloud platform Think of it like shipping containers in the real world. Each container holds everything an application needs to run, isolated from other applications and from the underlying system. This ensures that the application will work the same way regardless of the environment it is deployed in. “It took us five years to containerise Genetec’s SecurityCentre cloud platform, but containerisation now simplifies delivering updates to products whenever we want,” says Andrew Elvish, Genetec’s VP Marketing. Among other benefits, containerisation enables Genetec to provide more frequent updates--every 12 days. Headless appliance Headless appliance is a device that is managed and controlled remotely through a network or web interface A headless appliance is a device that is managed and controlled remotely through a network or web interface. The device is like a “body without a head” in the traditional sense of computer interaction: It performs its intended function, but without any visual output or input device for local interaction. In physical security, such devices are increasingly part of cloud-based systems in which the centralised software manages and operates all the disparate “headless” devices. A headless appliance does not have a Windows management system. “The whole thing is managed through the as-a-service cloud system,” says Elvish. With a headless device, you just plug it into the network, and it is managed by your system. You manage the Linux-based device remotely, so configuring and deploying it is easy. Democratising AI You hear the term democratising AI used by camera manufacturers who are looking to expand AI capabilities throughout their camera lines, including value-priced models. For example, even i-PRO’s value-priced cameras (U series) now have AI – fulfilling their promise to democratise AI. Another approach is to connect non-AI-equipped cameras to the network by way of an AI-equipped camera, a process known as “AI-relay.” For instance, i-PRO can incorporate non-AI cameras into a system by routing/connecting them through an X-series camera to provide AI functionality. Bosch is also embracing AI throughout its video camera line and enabling customers to choose application-specific analytics for each use case, in effect, tailoring each camera to the application, and providing AI to everyone. Context Cloud system also enables users to ask open-ended queries that involve context, in addition to detection Context refers to an AI system that can understand the “why” of a situation. For example, if someone stops in an area and triggers a video “loitering” analytic, the event might trigger an alarm involving an operator. However, if an AI system can provide “context” (e.g., he stopped to tie his shoe), then the event can be easily dismissed by the automated system without involving an operator. Bosch’s IVA-Pro Context product is a service-based model that adds context to edge detection. The cloud system also enables users to ask open-ended questions that involve context in addition to detection. For example, rather than asking "do you see a gas can?" you can ask "do you see any safety hazards in this scene?" The pre-trained model understands most common objects, and understands correlations, such as "a gas can could be a safety hazard.” A scaled-down on-premise version of the IVA Context product will be available in 2026. Bosch showed a prototype at ISC West. Most video data is never viewed by an operator. Context allows a system to look at all the video with "almost human eyes." Cameras are essentially watching themselves, and understanding why something happened and what we can do. All that previously unwatched video is now being watched by the system itself, boosted by the ability to add “context” to the system. Any meaningful information based on context can trigger a response by an operator. Data lake A data lake is a centralised repository that allows one to store vast amounts of structured, semi-structured, and unstructured data in its native format. In the case of the physical security marketplace, a data lake includes data generated by systems outside the physical security infrastructure, from inventory and logistics systems, for example. A data lake is where an enterprise can accumulate all their data, from the weather to Point-of-Sale information to logistics, to whatever they can gather. Putting the data in one place (a “data lake”) enables them to mine that data and parse it in different ways using AI to provide information and insights into their business. Notably, a data lake contains all a company’s data, not just security or video data, which opens up new opportunities to leverage the value of data beyond security and safety applications. Crunching the various information in a data lake, therefore, security technology can be used to maximise business operations.

Executive protection demand spiking after UnitedHealthcare shooting

The practice of executive protection changed forever on Dec. 4, 2024, when UnitedHealthcare CEO Brian Thompson was shot outside a Manhattan, New York, hotel. The shocking event raised awareness in board rooms around the world about the need for, and challenges of, executive protection. Questions followed immediately, including why was the high-level executive not protected? Combination of risk and reward UnitedHealthcare’s stock price has gone down more than 20% since the shooting The event also highlighted what is at stake for companies, extending beyond the safety of executives and impacting many factors, even including a company’s stock price. UnitedHealthcare’s stock price has gone down more than 20% since the shooting, equating to tens of billions of dollars. “Companies are considering the combination of risk and reward like never before when it comes to executive protection,” says Glen Kucera, President of Allied Universal Enhanced Protection Services. “What are the chances this could happen? Before Dec. 4 many thought it was zero. And what are the financial implications for a company if it happens? Executive protection is a small investment to protect against a worst-case scenario.” Evaluation of an executive protection Before the UnitedHealthcare shooting raised awareness, fewer than 50% of executives had protection. But concerns that previously fell on deaf ears now have the full attention of companies, says Kucera. “Boards of directors are having to figure this out,” he adds. “They may not have executive protection, but now they have to do it.” A threat assessment, conducted by a company such as Allied Universal, provides an independent evaluation of a company’s executive protection needs. The assessment evaluates factors such as an executive’s travel habits, the safety of their home, etc. Does the executive need protection 24/7, or just when they travel into more dangerous areas? Risks increase related to corporate earnings Sometimes, cases increase the need for executive protection, such as an internal threat In assessing threats, security professionals also look beyond the individual to consider the safety of a corporate facility, for example. “Is there a visual deterrent, controlling who comes and goes?” asks Kucera. “If there is good security, it all ties together. We do home assessment, facility assessment, route assessment, and travel assessment as needed.” Sometimes, circumstances increase the need for executive protection, such as an internal threat. Timing is a factor, and risks increase related to corporate earnings releases, new product announcements, and corporate layoffs or consolidation. Monitoring social media tracks shifting threats that impact the need for executive protection. UnitedHealthcare shooting “He didn’t have it and probably didn’t think he needed it,” comments Kucera about the UnitedHealthcare executive who was gunned down in the streets of New York City. “He was staying at the hotel across the street and was used to walking down the street every day.” “Sometimes executives want to preserve their privacy and be able to walk down the street,” says Kucera. “Getting protection can be seen as a sign of weakness. Some CEOs in the past have said they just didn’t want it.” However, the UnitedHealthcare shooting raised the stakes of the need for more vigilance. “The bottom line is you have to yet beyond objections and make the investment to protect against a worst-case scenario,” says Kucera. Anti-capitalist sentiment in the general population An internal police bulletin warned of an online hit list naming eight executives and their salaries Threats to executives sometimes arise from anti-capitalist sentiment in the general population about perceived inequalities in wealth and power. Executives provide symbolic targets for anyone who fights the system, and social media has amplified the voices of those who oppose capitalism. For example, a "Most Wanted CEO” card deck seeks to shine a spotlight on "titans of greed." Also, in the aftermath of the UnitedHealthcare shooting, CEO "wanted" posters appeared across New York City, threatening various executives of large companies. An internal police bulletin warned of an online hit list naming eight executives and their salaries. Careful monitoring of social media posts Careful monitoring of social media posts and other sources enables executive protection professionals to analyse data and separate the dangerous threats from the merely negative ones. Sadly, positive support of the UnitedHealthcare shooting was expressed by the 300,000 or so followers of the shooter, who became a celebrity of sorts. A huge outcry of negative sentiment toward the insurance industry led to fear that copycat incidents might occur. “There has been an unprecedented amount of positive support for committing murder,” commented Kucera. Executive protection requests HR executives can be at risk, especially at a time of layoffs or consolidation “Let’s face it, there has been a lot of controversy, from COVID to the Middle East crisis, to the political campaign, and there is negativity on both sides,” says Kucera. “People have opportunities to pick sides, and there is a lot of sentiment going both ways, and there is a small percentage of people who will act aggressively.” Executive protection requests now extend beyond the CEO to include others in the management ranks of companies. Basically, any public-facing executive is at risk, including anyone who makes statements to the press. Human resource (HR) executives can be at risk, especially at a time of layoffs or consolidation. Private information on the Internet Typically, an executive is assigned a single armed operative for protection. The firearm serves primarily as a visual deterrent that hopefully makes a potential perpetrator think twice. “When they plan an event like this, their expectation is that it will be a soft target,” says Kucera. “If there is an officer, it gives them pause.” Controversial or high-profile CEOs are typically protected 24/7, including when they travel with their family. Adding risks is the fact that private information is now posted on the Internet, including where an executive lives and where their children go to school. Internet monitoring Internet monitoring also includes the “dark web,” which includes sometimes dangerous information “We offer social media monitoring, and we advise them to be more careful with what they post,” says Kucera. “We monitor reactions to posts including any that might be threatening. We watch social media carefully if a company announces earnings or a change in their service or product offering.” Internet monitoring also includes the “dark web,” which includes sometimes dangerous information that is intentionally hidden and requires specific software, configurations, or authorisation to access. Own layer of protection Public and government officials can also come under fire in a variety of scenarios. FEMA officials faced threats after the recent floods in the Southeast, for example, among other situations where perceived unfair treatment promotes thoughts of retribution. Although government agencies have their own layer of protection, there are instances when they call on companies such as Allied Universal for additional help. Ad hoc protection for various executives In the aftermath of the UnitedHealthcare shooting, calls to Allied Universal’s Command Centre increased by 600%, reflecting requests for ad hoc protection for various executives. These requests are in addition to the company’s business providing “embedded” operatives that travel with executives all or some of the time. On that side of the business, requests for services are up probably 300%, says Kucera. {##Poll1742194323 - Has the recent increase in violent threats changed your company's view on executive protection?##}

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.

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