At its core, PKOC is an evolution of public key infrastructure (PKI) applied to credentialing. Instead of relying on centrally issued, proprietary credentials like traditional access cards or even many mobile credentials, PKOC enables credentials to be created, issued, and verified using open cryptographic standards. This shifts the model from “system-issued identity” to “user-controlled, cryptographically verifiable identity.”

To understand why this matters, it’s helpful to break down the mechanics in simple terms. In a PKOC model, each user possesses a digital credential tied to a cryptographic key pair: a private key (securely held by the user’s device) and a public key (shared and verifiable). When a user presents a credential, whether to a door reader, a logical system, or a checkpoint the system verifies the credential using the public key, without needing to query a central database in real time. The trust is embedded in the cryptography, not dependent on constant connectivity or proprietary infrastructure.

That distinction introduces several important shifts.
First, it decentralizes trust. Traditional access control systems rely heavily on centralized identity stores and credential management systems. Even cloud-based platforms, while more flexible, still operate within vendor-controlled ecosystems. PKOC, by contrast, allows credentials to be validated independently, provided the verifying system trusts the issuing authority’s public key. This opens the door to interoperable ecosystems where multiple organizations can issue and accept credentials without being locked into a single vendor platform. In applications like multi-tenant buildings this is a dream come true.

Second, it enhances security at the credential level. Most legacy credentialing systems still rely on shared secrets or symmetric encryption models that can be vulnerable to cloning, replay attacks, or key extraction if not properly managed. PKOC leverages asymmetric cryptography, which significantly raises the bar for credential compromise. The private key never leaves the user’s device, and authentication can be designed to require proof-of-possession, making credential theft far more difficult to exploit.

Third, it aligns with the broader shift toward digital identity and zero trust architectures. In zero trust models, identity becomes the primary perimeter. Every access request must be continuously verified, regardless of network location. PKOC fits naturally into this paradigm because it enables strong, cryptographic identity assertions that can be used across both physical and logical environments. This creates a pathway toward true convergence between physical access control systems (PACS) and identity and access management (IAM) platforms, something the industry has been discussing for years but has struggled to implement at scale.

From a practical standpoint, the implications for the security industry are significant.
For access control, PKOC introduces the possibility of credential portability. Today, credentials are typically tied to a specific system or facility. With PKOC, a single credential could be issued by a trusted authority and used across multiple sites, organizations, or even industries. Think about contractors, vendors, or first responders who need access to multiple facilities. Instead of managing separate credentials for each environment, a PKOC-based credential could be verified wherever trust relationships exist.

For identity management, PKOC shifts the control model closer to the user. This is consistent with emerging concepts like self-sovereign identity (SSI), where individuals control their own credentials and share only what is necessary for a given transaction. In a security context, this could enable more granular and privacy-preserving access decisions. For example, a system could verify that a person is “authorized for Level 3 access” without needing to expose their full identity record.

For system architecture, PKOC reduces dependence on always-on connectivity. In environments where network reliability is a concern (critical infrastructure, remote sites, or high-security facilities) being able to verify credentials offline is a meaningful advantage. It also reduces latency and potential points of failure associated with centralized validation.
However, the path to adoption is not without challenges.
Interoperability, while a key advantage, also requires standardization and governance. The industry will need clear frameworks for how trust is established between issuers and verifiers, how credentials are revoked, and how lifecycle management is handled. Without this, the ecosystem risks fragmentation.

There is also the issue of legacy infrastructure. Most deployed access control systems were not designed with PKOC in mind. Retrofitting existing readers, controllers, and management platforms to support these models will take time and investment. Integrators will need to carefully evaluate where PKOC can be layered into existing systems versus where it requires more fundamental redesign.
From a business perspective, PKOC also challenges traditional vendor models. Proprietary credential ecosystems have historically been a source of recurring revenue and customer lock-in. Open credentialing shifts value away from the credential itself and toward services, integration, and trust frameworks. This could be disruptive for some manufacturers but creates opportunities for those willing to adapt.

So why does the industry need to pay attention now?
Because the underlying drivers are already in motion. Mobile credentials are gaining traction. Organizations are demanding greater interoperability and flexibility. Cybersecurity frameworks are pushing for stronger identity assurance and end users increasingly expect seamless, user-centric experiences.

PKOC sits at the intersection of all these trends. While it may not replace existing credentialing models overnight, it represents a direction of travel that is hard to ignore. Early adopters, particularly in sectors like critical infrastructure, government, and large enterprise environments are likely to begin experimenting with these models in the near term.
For security professionals, the immediate takeaway is not to deploy PKOC everywhere, but to start building fluency. Understand how it works, where it fits, and how it could integrate with existing systems. Evaluate vendors not just on current capabilities, but on their roadmap for open, standards-based credentialing.

In many ways, PKOC is less about a single technology and more about a shift in philosophy from closed, system-centric credentialing to open, identity-centric trust models. And if that shift takes hold, it has the potential to redefine how the industry approaches access, identity, and security as a whole.

The post Tech Trends – The Future of Credentials: Why PKOC Demands Attention Today appeared first on ĐÓ°ÉÔ­´´.

March 2026 – Security Business Magazine

For years, license plate recognition (LPR) technology was viewed primarily as a law enforcement tool; mounted on patrol vehicles, fixed to traffic poles, and tied to stolen vehicle databases. In 2026, that perception is outdated. LPR has firmly established itself in the private sector, becoming a practical and increasingly strategic layer within commercial physical security systems. Retail centers, multi-family housing developments, healthcare campuses, logistics hubs, and even K–12 districts are deploying LPR not as a novelty, but as infrastructure.

For security integrators, this shift represents more than incremental product demand. It signals a maturation of LPR into a system that intersects with access control, investigations, operational workflows, and enterprise cybersecurity. Delivering successful deployments now requires technical rigor and strategic alignment, not simply mounting a specialized camera at a driveway.

The expansion of use cases is driving adoption. In retail environments, especially those grappling with organized retail crime (ORC), LPR provides a method for identifying repeat offenders and correlating vehicle activity with internal loss prevention data. When integrated properly with a video management system (VMS), investigators can search for partial or full plates, reconstruct timelines, and identify coordinated activity across multiple store locations. The value is not just in capturing a plate, but in making that data searchable and actionable.

In gated communities and multi-family housing environments, LPR is increasingly functioning as an operational credential. Instead of relying solely on RFID tags or proximity cards, property managers are using plate-based whitelisting to automate vehicle access. Residents expect gates to open reliably and without delay, which means integrators must design for low-latency reads, accurate recognition, and seamless integration with barrier controls. In this context, LPR performance directly affects resident satisfaction and perceived security effectiveness.

Industrial and logistics facilities are applying LPR in yet another way, workflow validation. Distribution centers are using plate reads to confirm scheduled truck arrivals, measure dwell times, and automate yard management notifications. Here, LPR becomes part of an operational technology ecosystem rather than a pure security tool. Integrators who understand API integrations and event-driven triggers are positioned to provide greater value than those delivering a standalone system.

Despite growing demand, LPR remains highly sensitive to system design. Successful deployments depend far more on engineering fundamentals than on manufacturer branding. Camera placement, lens selection, and environmental conditions play a decisive role in capture accuracy. Effective LPR systems rely on controlled capture zones, appropriate mounting angles, and vehicle speed management. Attempting to extract reliable plate reads from wide-angle overview cameras rarely produces acceptable results. Dedicated capture points, properly aligned optics, and thoughtful scene control remain essential to optimum performance.

Lighting is equally critical. Infrared illumination continues to be a cornerstone of consistent nighttime performance, but integrators must account for reflective plate materials, headlight glare, and environmental variables such as snow, rain, or dust. Seasonal changes can significantly impact performance if not addressed during design. Setting realistic read-rate expectations with clients, based on site conditions rather than marketing claims, is essential to maintaining credibility.

Edge processing has also changed the deployment landscape. Modern LPR cameras increasingly perform recognition at the device level, reducing bandwidth requirements and accelerating event triggers. This architecture can improve resilience during network disruptions and lower server overhead. However, edge intelligence introduces new responsibilities. Firmware lifecycle management, credential security, and network segmentation must align with enterprise IT policies. As LPR devices become IP endpoints generating structured data, cybersecurity considerations move to the forefront of project planning.

The greatest value emerges when LPR is integrated into broader security ecosystems. When tied into access control systems, a vehicle plate can function as a credential, triggering automatic gate operations or generating alerts when a blacklisted vehicle appears. Synchronization between watchlists and credential databases becomes critical. Integrators must evaluate API compatibility and ensure reliable data exchange between platforms.

Integration with VMS platforms further amplifies investigative capability. Searchable plate databases ( and ) allow security teams to conduct wildcard queries, correlate vehicle movement across multiple sites, and reconstruct incidents with precision. In multi-location enterprises, centralized LPR management provides aggregated analytics that support both security and operational decision-making.

As adoption expands, privacy and compliance considerations are becoming more prominent. Unlike traditional video footage, LPR systems generate structured data that can be tied to identifiable individuals. Clients must define retention policies, access controls, and audit logging procedures. While integrators should not provide legal advice, they are increasingly expected to guide clients toward sound governance practices and recommend consultation with legal counsel when necessary.

Cybersecurity risk cannot be overlooked. Plate data represents sensitive movement information. Unauthorized access or data breaches could expose organizations to reputational and legal consequences. Strong authentication policies, encrypted data transmission, and role-based permissions are no longer optional. Integrators must treat LPR systems as enterprise assets subject to the same standards applied to other network-connected infrastructure.

Another notable shift is the movement toward subscription-based and cloud-managed LPR platforms (). These solutions offer centralized management, automatic updates, and multi-site aggregation, often lowering upfront capital investment. For integrators, this model creates recurring revenue opportunities but also elevates service expectations. Clients increasingly demand uptime assurances, cybersecurity compliance, and scalable analytics capabilities.

Perhaps the most significant challenge remains expectation management. Marketing materials frequently suggest near-perfect recognition rates, but real-world accuracy is influenced by plate condition, vehicle speed, environmental variables, and jurisdictional plate designs. Conducting thorough site assessments, performing pilot testing when appropriate, and clearly communicating achievable performance metrics are critical steps in maintaining long-term client trust.

LPR has evolved well beyond its origins in law enforcement patrol vehicles. It now plays a meaningful role in perimeter security, access automation, loss prevention, and operational intelligence across commercial markets. For security integrators, the opportunity is substantial. Those who approach LPR as a fully engineered, integrated, and cybersecurity-conscious system will distinguish themselves in an increasingly competitive landscape.

The future of LPR in the private sector will not be defined by hardware alone. It will be shaped by integrators who understand how to design for accuracy, intelligence, and manage data responsibly. As the technology becomes embedded in everyday security architecture, treating LPR as a strategic platform rather than a peripheral device will determine who leads the next phase of growth in the physical security industry.

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The message is not subtle. The days of traditional, hardware-centric security are fading. The industry is moving toward intelligent systems that can analyze, interpret, and respond with unprecedented speed and accuracy. Security professionals who embrace this shift will thrive in an era of smarter, more predictive protection. Those who ignore it may soon find themselves obsolete.

One of the most important changes shaping the industry is the rise of artificial intelligence. AI now sits at the core of modern security operations, powering video analytics, access control decisions, perimeter detection, and real-time threat interpretation. It provides capabilities that were once impossible, detecting unusual behavior patterns, identifying potential intruders, recognizing objects or weapons, and alerting operators before an event fully unfolds. For decades, security operations were limited by human capacity. No team can monitor hundreds of cameras or analyze complex behavioral cues at all hours. AI effectively removes these constraints, allowing security to become proactive rather than reactive.

Organizations that fail to integrate AI into their operations will struggle with the limitations of traditional monitoring. Missed incidents, false alarms, slow response times, and inflated workload will become increasingly difficult to justify as competitors operate with far more precision and efficiency. Security professionals must develop fluency in how AI systems work, where they are most effective, and how to manage them responsibly. This includes understanding model accuracy, data governance, privacy implications, and system integration. It also means upgrading legacy infrastructure and redesigning operational workflows, so humans focus on decision-making while AI handles detection. The security professional who does not master AI technology will quickly find their expertise outdated.

Equally transformative is the rise of drones, robotics, and autonomous response systems. These tools are no longer experimental, they are being deployed in live environments across campuses, industrial facilities, municipalities, and large commercial properties. Companies like  are leading innovation in this area. Drones can patrol perimeters, respond instantly to alarms, and provide dynamic overhead visibility. Ground robots can navigate complex environments, conduct routine patrols, and capture video, audio, thermal data, and environmental metrics far beyond human sensory capability. These systems are fundamentally changing how coverage is achieved. A guard on foot or a fixed camera can see only so much. Aerial and mobile robotics introduce new dimensions of surveillance and rapid response, giving security teams reach and visibility previously unattainable.

Autonomous systems also reduce reliance on large guard forces, which helps organizations facing rising labor costs and staffing shortages. They can operate continuously, without fatigue or distraction, and they integrate seamlessly with AI-powered command platforms. This combination creates a force multiplier effect, enabling smaller teams to manage larger and more complex environments with greater effectiveness. To take advantage of this shift, security leaders must educate themselves on operational planning for drones and robots, understand evolving FAA guidelines, develop automated patrol strategies, and learn how to integrate autonomous systems with existing infrastructure. Those who understand how to deploy these technologies will deliver solutions that are modern, efficient, and commercially competitive. Those who do not will fall behind companies capable of offering full-spectrum autonomous security services.

Beyond mastering technologies themselves, security professionals must undergo a deeper evolution in how they define their roles. For many years, integrators and consultants were viewed primarily as specialists, people who designed and installed systems, maintained equipment, or managed the technology once deployed. In the emerging landscape, this narrow definition of expertise is no longer sufficient. The security leader of 2026 must be a strategic technology advisor, capable of guiding organizations through complex digital transformation.

Organizations need experts who understand not only devices and systems, but also cybersecurity principles, data management, AI governance, regulatory frameworks, cloud architecture, and long-term technology planning. Clients increasingly expect their security partners to help them evaluate emerging technologies, plan multi-year upgrades, mitigate legal and privacy concerns, and justify investments with clear operational returns. The integrator or consultant who embraces this leadership role will be valued as a trusted partner, not just a service provider. Those who remain focused solely on installation or traditional guard operations may find themselves replaced by firms offering broader, more strategic capabilities.

The shift from technician to strategist requires continuous learning. AI, autonomy, and cloud-based security will evolve rapidly, and professionals must keep pace through ongoing education, vendor collaboration, and cross-disciplinary knowledge. They must also refine their ability to communicate complex technology in clear, practical terms for executives and stakeholders. Ultimately, the security professional who can interpret the future and chart a path toward it will be the one who succeeds.

As we enter 2026, the industry stands at a critical crossroads. Technology is reshaping every aspect of security operations, from detection to response to management. AI, drones, and autonomous systems will define how organizations identify and mitigate risk, and the expectations of clients will shift toward smarter, more integrated, and more predictive protection strategies.

Survival in this environment requires adaptation now, not later. Security leaders must learn to harness AI intelligence, embrace autonomous tools, and elevate their role into strategic security technology leadership. The future of security belongs to those who evolve with it. Those who resist will quickly find themselves left behind.

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WhoFi relies on something called Channel State Information (CSI), this data shows how Wi-Fi signals change as they pass through the environment. Every person’s body reflects and absorbs those signals in slightly different ways. Movement, posture, and body composition all produce unique patterns, essentially a physical “signature” that can be learned and recognized.

The La Sapienza team built a deep learning pipeline to interpret this data. It preprocesses CSI streams, feeds them into neural network encoders and produces a compact signature vector for each person. When a new person passes through the Wi-Fi field, the system compares their signal pattern to its gallery of known signatures and identifies them even through walls or in total darkness.

In tests on benchmark datasets, WhoFi achieved accuracy rates above 95% under controlled conditions. Unlike camera-based systems, it works without line of sight and requires no ID card, wearable, or phone. The person being tracked doesn’t need to participate or even know it’s happening.

WhoFi’s most immediate potential lies in physical access control and security. If matured and commercialized, it could dramatically change how buildings, campuses, and facilities manage entry and surveillance.

WhoFi could replace or supplement keycards and facial recognition for door access. As someone approaches, Wi-Fi sensors detect their unique signature and unlock automatically. No badges, fingerprints, or face scans needed — just your physical presence. In labs, hospitals, or clean rooms where hands-free access matters, this could simplify operations and reduce contamination risk. 

It could serve as an extra verification step in existing systems. A match between an existing credential and a WhoFi signature could confirm identity with higher confidence. Conversely, mismatches could flag potential intrusions, making security more resilient.

Because it works through walls, WhoFi could alert staff to unauthorized presence in restricted areas, even in darkness or when cameras are obstructed. It could act as a silent alarm system that detects movement and identity simultaneously.

Retailers could use WhoFi to track returning customers, monitor dwell times, or analyze movement, all without cameras. The system’s ability to recognize individuals through obstacles could produce deeper behavioral data than visual tracking alone.

The technology does have some technical and operational challenges. Real-world use will test WhoFi’s robustness. Everyday environments are noisy filled with reflections, interference, and multiple people moving at once. These factors can distort signals and degrade accuracy. Enrollment also presents challenges. To re-identify someone, the system must have a stored “signature,” which means an initial calibration step. Changes in body shape, posture, or clothing could shift that signature and require re-training.

Still, for access control and security, WhoFi represents a potential breakthrough, a step toward ambient, device-free authentication.

The more powerful WhoFi becomes, the more it challenges privacy and data protection laws. Its ability to detect, locate, and uniquely identify people without their cooperation collides directly with existing privacy frameworks.

Unlike cameras or card readers, WhoFi operates invisibly. People can be tracked simply by moving through a Wi-Fi zone. There’s no obvious indicator of surveillance, no camera lens, no beep, no opt-out. Over time, these systems could generate movement logs and behavioral profiles, linking physical presence across multiple spaces. Even if names aren’t stored, unique signatures enable persistent tracking. This is the concerning part, while Personally Identifiable Information (PII) may not be attached, your unique signature can be used to build a profile and detailed history that at some point could be paired with PII.

Under the EU’s General Data Protection Regulation (GDPR), biometric data used for unique identification counts as a “special category” of personal data, subject to strict rules. Collecting it requires explicit consent or a clear legal basis. WhoFi would almost certainly qualify. Even though it records signal distortions rather than facial features, the end result is the same: a stable identifier tied to an individual’s body.

That raises major compliance problems. How can consent be obtained from people who don’t know they’re being scanned? How can individuals exercise their rights to access, correction, or deletion if they can’t even tell a system is collecting their data?

Other jurisdictions are likely to follow GDRP. U.S. states like Illinois and Texas already regulate biometric identifiers under specific laws, and Wi-Fi-based body signatures could fall under those definitions. If deployed carelessly, WhoFi systems could face lawsuits and bans similar to those that hit facial recognition vendors.

The same traits that make WhoFi exciting for access control make it dangerous for surveillance abuse.

• Mass tracking: Cities or corporations could monitor people’s movements continuously, blurring the line between security and spying.
• Covert monitoring: In private homes or workplaces, WhoFi could be misused to follow individuals without consent.
• Opaque decisions: If access is denied or granted automatically, users may never know why or how to challenge errors.

To align with privacy law, future deployments would need safeguards: visible disclosure, opt-in consent, encrypted data handling, and limits on range and retention. Systems should store only temporary, anonymized embeddings and destroy raw data after use. Independent audits could enforce accountability.

WhoFi hints at a future where the walls themselves can recognize you, where Wi-Fi becomes a biometric medium. For security and convenience, the implications are enormous. For privacy and civil liberties, they are equally profound.

Used responsibly, it could simplify secure access, reduce friction, and enhance safety. Used irresponsibly, it could create an invisible surveillance web that no one can see or escape.

The researchers at La Sapienza have opened a new frontier in sensing technology. What happens next depends on how policymakers, engineers, and society choose to govern it. The challenge isn’t just technical, it’s ethical. The question is no longer whether our surroundings can recognize us, but whether they should.

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The integration of AI platforms like ChatGPT, Google’s Genesis, and other generative tools has introduced a new dimension of efficiency for security professionals.

These systems can summarize threat intelligence, draft reports, automate decision trees, and simulate potential risks in ways that would have required hours of manual work; however, as security professionals increasingly adopt these technologies, a critical concern is emerging: over-reliance.

Critical Thinking and Decision Making is a Skill

Excessive use of AI tools may be undermining the very cognitive skills that are essential for effective protection of people and property.

Security professionals are tasked with a unique blend of responsibilities that demand rapid situational analysis, critical thinking under pressure, pattern recognition, and the ability to make real-time decisions with incomplete information. Whether responding to a threat, assessing a facility, managing an incident, or reviewing behavioral cues, success in this profession depends heavily on the human brain’s ability to synthesize, evaluate, and anticipate risk.

“AI over-reliance creates a condition known as cognitive offloading, where the brain stops encoding or recalling information it expects the AI to manage. Over time, this can result in a cognitive decline in processing critical security aspects.“

AI tools are exceptionally good at information retrieval, pattern generation, and summarization. But when security professionals begin to use AI as their first resource for planning risk assessments, writing after-action reports, or developing emergency procedures, they risk disengaging from the deep thinking required for true preparedness.

This over-reliance creates a condition known as cognitive offloading, where the brain stops encoding or recalling information it expects the AI to manage. Over time, this can result in a cognitive decline in processing critical security aspects, such as:

Threat recognition: Security professionals who depend on AI alerts or analytics may lose their instinct for reading non-verbal cues, environmental anomalies, or subtle pre-incident indicators.

Decision-making agility: In the absence of AI tools (due to network outages, cyberattacks, or operational restrictions), professionals may find themselves paralyzed without digital guidance.

Contextual awareness: AI does not possess intuition or the ability to understand context. A security plan built by AI may be technically correct but miss critical site-specific or cultural nuances that only human experience can perceive.

In dynamic environments such as large events, active threats, or natural disasters, security professionals must often improvise and adapt in real time. Creativity, flexibility, and out-of-the-box problem solving can mean the difference between escalation and de-escalation.

AI-generated recommendations and templates may seem comprehensive, but they often produce generic solutions based on past data. Relying on these outputs too heavily discourages security professionals from developing the mental agility required to respond to novel threats or unpredictable human behavior.

Automation Bias

Creativity in the security field is not limited to emergency response. It is also vital for designing integrated security systems, developing policies that align with organizational culture, and conducting red-teaming exercises to simulate threat scenarios.

The best security professionals think like adversaries, and this is an ability that cannot be fully outsourced.

Security professionals are trained to question, verify, and critically analyze information, especially under stress. But when AI becomes the main source of assessments, reports, or strategic guidance, users can fall victim to automation bias. This is the tendency to trust computer-generated outputs without sufficient scrutiny.

This is dangerous for several reasons as AI systems are a collective of information that is not necessarily vetted for accuracy and may contain biased data. Further the threat landscape can rapidly evolve and make AI generated data outdated.

Best Practices to Avoid Cognitive Decline

Security is fundamentally a human mission. It requires eyes that can detect what cameras miss, minds that question the expected, and instincts honed through training and experience. AI should serve to empower, not replace those capabilities. As the profession evolves, the real threat may not be artificial intelligence itself, but the erosion of human readiness when we let machines do the thinking for us.

Professionals who do not actively challenge, cross-check, or contextualize AI outputs may unknowingly accept flawed or misleading recommendations, putting people and assets at risk. To ensure AI serves as an asset and not a crutch, security professionals should develop disciplined habits to preserve and enhance human cognitive function.

Not only for internal improvement, this is an area where integrators can serve as a trusted advisor to help customers navigate the expanding use of AI technology. Consider passing along these five tips for maintaining cognitive skills in light of using AI as a tool:

1. Train before you automate. Perform core tasks manually before delegating them to AI. Write incident reports, build security plans, or conduct vulnerability assessments from scratch to maintain critical writing and analytical skills.

2. Use AI to augment, not replace or outsource brain power. Treat AI as a research assistant, not a decision-maker. Use it to gather background info or structure your thoughts, but apply your judgment, experience, and local knowledge to make the final call.

3. Engage in scenario-based drills without AI. Conduct tabletop exercises and simulations without AI input. Force your team to think creatively and rely on instinct, training, and collaboration.

4. Practice mental rehearsal. Before a major event or shift, mentally walk through possible threat scenarios and your responses. This builds cognitive muscle memory and prepares you to act decisively under pressure.

5. Commit to continued learning. Stay sharp through ongoing education in security, behavioral science, technology, and psychology. This maintains intellectual curiosity and builds a foundation for higher-order thinking that AI cannot replicate.

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Security integration firms are embracing new technology to enhance the quality and effectiveness of project delivery, attract, train, and retain talent, and increase internal operational efficiency.

Let me start by talking about the Achillies heal in our industry. The ongoing talent shortage, especially in technical roles like system designers, field engineers, and cybersecurity-savvy technicians. Emerging technologies are now being leveraged to address workforce development challenges in three primary ways:

Recruitment, Training, and Retaining Talent

Recruitment is being revolutionized by artificial intelligence. Platforms like HireVue , Eightfold , and Beamery   use AI to analyze resumes, video interviews, and career data to identify candidates who are most likely to succeed based on a company’s culture, job requirements, and performance predictors. These tools can reduce time-to-hire, improve candidate matching, and support diversity goals, all essential in a today’s labor market.

Forward thinking organizations like the Foundation for Advancing Security Talent (FAST) was launched by the Electronic Security Association to promote careers in physical security technology. FAST connects professionals with roles in electronic security and life safety through outreach to schools, jobs board, industry research, and continuing education on emerging technologies. Its mission is to help companies overcome workforce shortages by building awareness, providing training resources, and celebrating technician achievements.

Security integrators can use VR simulations to train new hires on complex installations or site assessments in a safe, repeatable, and scalable way. For example, an entry-level technician can “walk through” the setup of a biometric access control system in a virtual building before touching real equipment. Companies like PixoVR offer platforms where learners can interact with virtual environments and equipment, making technical training more engaging and effective.

Modern LMS platforms like LearnUpon, SAP Litmos now use adaptive learning algorithms to tailor content based on an employee’s progress and skill level. For example, a project manager may receive different training paths than a network engineer. Integrated certifications, micro-credentialing, and gamification encourage ongoing learning critical in a fast-moving tech landscape.

Retention tools powered by data analytics like CultureAmp  or Lattice  allow companies to monitor employee satisfaction, identify burnout risks, and tailor interventions before turnover happens. These platforms analyze performance reviews, engagement surveys, and productivity metrics to support a healthier and more loyal workforce in real time.

Operational Efficiency and Internal Systems

Improving the back office is equally vital to long-term success. New technologies can streamline internal workflows, enhance team collaboration, and increase profitability through automation and better resource allocation.

Project management platforms like Procore, Smartsheet, and Fieldwire are helping integrators manage multiple job sites, subcontractors, and compliance requirements. These tools offer real-time collaboration, document sharing, and progress tracking to ensuring projects stay on time and on budget.

When integrated with ERP systems like NetSuite or Dynamics 365, businesses gain end-to-end visibility from contract to closeout, reducing administrative bottlenecks and enabling faster billing cycles.

Digital Twin technology and Building Information Modeling (BIM) are revolutionizing how integrators plan and manage projects. A digital twin is a dynamic digital replica of a physical environment, allowing teams to simulate the installation of cameras, sensors, and infrastructure before ever stepping foot on-site. This enables better collaboration with architects and general contractors, minimizing rework and unexpected clashes during construction.

Robotic Process Automation (RPA) tools such as UiPath and Automation Anywhere allow security integrators to automate repetitive back-office tasks like data entry, invoicing, purchase orders, and compliance reporting. For example, client onboarding, insurance verification, and certification tracking can be fully automated freeing up admin staff to focus on more strategic functions.

Security integration companies can use AI-powered business intelligence tools like Tableau or Power BI to analyze field performance, installation times, equipment failure rates, and client satisfaction metrics. This enables leadership to make data-backed decisions that improve profitability and resource allocation.

Improving the Quality of the Delivered Solution

The ultimate value of any security integrator lies in the effectiveness of the delivered solution. Emerging technologies are enhancing this in multiple ways:

Advanced system design platforms like System Surveyor  include AI to recommend optimal sensor placements, detect design conflicts, and estimate costs. These tools ensure that integrators can present clients with faster, more accurate, and code-compliant designs, improving both trust and execution quality.

IoT-enabled devices and smart sensors allow integrators to offer remote diagnostics and predictive maintenance for installed systems. Technologies like Unlimited Technology’s Exero   and AiRgus  provide real-time health monitoring of security systems, reducing downtime and the need for truck rolls. Clients benefit from increased reliability while integrators unlock new service revenue through managed service agreements.

The rise of edge AI cameras, such as those from Hanwha, Avigilon, and Bosch, allows real-time analytics at the device level without relying on cloud computing. This improves the speed and accuracy of threat detection, license plate recognition, and facial identification, allowing integrators to deliver smarter, faster, and more scalable solutions to their clients.

Technicians can now use mobile apps to configure, calibrate, and document system installations in real time. These apps link directly to the central project database, enabling instant QC checks and faster commissioning. Cloud platforms also support remote approvals from engineers or project managers, accelerating timelines.

Security integration firms that embrace these emerging technologies are not only gaining a competitive edge but are also future-proofing their business. From attracting the next generation of technicians to delivering high-performance integrated systems, innovation now permeates every corner of the security integration workflow. Firms that invest strategically in AI, AR/VR, automation, and smart systems will not only optimize their workforce and operations but also redefine the value they deliver to their clients.

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May 2025 – Security Business Magazine

Ultra-Wideband (UWB) technology is quickly moving from niche to mainstream, and its impact on security systems could be game-changing. With precise location tracking, high data transfer rates, and low power consumption, UWB is finding its place in advanced security solutions in access control, identity management, and personal identity validation, especially when paired with wearable technology. Several companies are leading this transition by developing innovative UWB-based solutions that redefine how secure environments identify and manage individuals.

Ultra-Wideband is a short-range wireless communication protocol that transmits data across a wide frequency spectrum (typically over 500 MHz). Unlike Wi-Fi or Bluetooth, UWB isn’t designed to carry a lot of data over long distances. Instead, it excels at precise spatial awareness. UWB can determine the distance between devices with centimeter-level accuracy, even in complex environments.

This level of precision opens the door to highly secure, context-aware applications. Where Bluetooth might tell you that a device is in the room, UWB can tell you exactly where in the room it is. That distinction makes a big difference in security contexts.

The Security Opportunity

Security has always depended on accurate identification. Whether it’s swiping a keycard or scanning a fingerprint, verifying a person’s identity and granting access accordingly is foundational. UWB changes the game by enabling systems to determine not just who you are, but also where you are in real time. This makes it a powerful tool for security applications that depend on presence detection and location-based decision-making. While wearable technology can authenticate the user to the device, UWB can authenticate the device to the system, ensuring both identity validation and device validation. 

Applying it to Security

Access Control Reimagined

Traditional access control systems often rely on fixed-point verification—a user has to tap a card or enter a code. This is both limiting and vulnerable. Cards can be cloned or stolen. PINs can be observed. UWB, however, allows for hands-free, location-based authentication. Systems using UWB can grant access only if a verified user is within a specific, highly defined area, such as directly in front of a secure door, and that user is authenticated to the device.

Truesense.it is at the forefront of developing this kind of intelligent access control. Their UWB-based solutions use secure tokens or smartphones equipped with UWB chips to communicate with fixed anchors in a building. When a user approaches, the system authenticates them and verifies their exact position before unlocking a door or granting entry. If someone unauthorized is piggybacking or tailgating, the system detects the discrepancy and can block access.

Identity Management for Dynamic Environments

In large facilities like corporate campuses, research labs, or data centers, managing who is where at any given time is a major security challenge. UWB offers a solution through continuous real-time tracking of authenticated users.

Infrastructure has now been developed that combines UWB’s location tracking with robust encryption and identity management systems. This means security personnel or systems can verify not only that an individual is authorized but that they are where they’re supposed to be. If someone enters a restricted area they shouldn’t, alerts can be triggered immediately, and logs can provide detailed timelines of movements.

This is especially useful in high-security environments where zoning and dynamic access privileges are critical. Instead of issuing different badges for different areas or relying on static permissions, UWB can dynamically authorize or restrict access based on real-time context.

Personal Identity Validation in Sensitive Scenarios

UWB also plays a key role in validating personal identity beyond just access points. In healthcare, finance, and law enforcement, verifying identity in sensitive interactions is crucial. Emerging applications are being developed where UWB-enabled wearables or smartphones act as passive ID validators.

Imagine a hospital where doctors and nurses are automatically verified and tracked as they move between rooms. Only the assigned nurse for a particular patient can administer medication or access records, with UWB confirming identity and location simultaneously. Or consider a law enforcement officer whose identity and authority are validated in real-time during sensitive operations.

Because UWB is difficult to spoof or relay over distance without detection, it provides a level of assurance that GPS, Wi-Fi, or Bluetooth cannot. Its resilience against common spoofing and relay attacks makes it a strong candidate for high-trust identity validation.

As with any location-based technology, privacy is a concern. UWB addresses this through strict adherence to encryption protocols and data minimization. The system is designed to authenticate without storing more data than necessary and without exposing location information beyond its required use case.

Moreover, UWB systems can be configured to operate in anonymous mode, where presence and movement are tracked but not linked to individual identities unless a specific event requires it. This balances the need for security with respect for personal privacy and compliance with regulation like GDRP. 

The Road Ahead

UWB is still emerging, but its adoption is accelerating as more smartphones and devices ship with built-in UWB chips. The technology’s unique combination of accuracy, speed, and security, positions it well to become a backbone of next-generation security infrastructure.

By turning UWB’s capabilities into practical solutions for access control, identity management, and personal validation, this technology is redefining what secure access means in a connected world.

As threats become more sophisticated and the need for seamless, frictionless security grows, UWB will likely shift from an optional add-on to a standard requirement in high-security environments. The companies investing in it now, like Truesense.it, are setting the tone for a safer, smarter future.

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Underused Tools 

As an independent security consultant, I’ve seen first-hand that many security professionals have fallen behind. Organizations invest in sophisticated technology, only for teams to use it for just the most basic tasks. It’s like buying a Ferrari but driving it like a Pinto. 

In the past, the cost of underutilizing systems was mostly financial, due to resulting inefficiencies. Today, the stakes are higher. Cameras are analyzing patterns and alerting you to potential threats. Access control isn’t just locking doors—it’s enforcing compliance, understanding traffic flow, and integrating with other departments. When security teams ignore these capabilities, they miss chances to prevent incidents, improve operations, support strategic goals, and elevate their department’s influence. 

Security Can’t Stay in a Silo 

Security professionals have lived in a pretty tight silo for decades. Now, we need to think bigger. To start, we must ask better questions.  

• What can this technology do?  

• Who else might benefit from the data we’re already collecting? 

• Can this help the facilities team spot maintenance issues?  

• Can it help HR analyze workspace usage?  

• Can it support emergency preparedness in ways we haven’t considered? 

As an integrator, this means showing up with more than just spec sheets. Clients are looking for guidance on broader use cases. And for security end-users, it means looking for partners – both vendors and internal stakeholders – who can help maximize the ROI of your systems.  

Industry Expertise Drives Value  

Of course, how these technologies are applied — and which opportunities matter most — will vary significantly by industry. In healthcare, for instance, one challenge is managing the movement and security of critical medical equipment. Technologies like access control, video analytics, and asset tracking can work together to ensure that crash carts and other mobile equipment are only moved by authorized personnel. 

In the K-12 vertical, predictive models can detect conditions that are often precursors to trouble and allow staff to intervene before an incident occurs. A crowd forming in the hallway may indicate a fight is brewing. Somone walking in the parking lot with a firearm can trigger numerous lockdown events, like securing doors and notifying the police, so that a response occurs instantaneously instead of in the aftermath of an event.  

In a retail environment, the focus might be on understanding traffic flow, maximizing display space, reducing checkout lines, and improving the overall customer experience. 

These industry-specific challenges illustrate why future-ready security professionals need more than technical knowledge — they need a deep understanding of the verticals they serve. They must know how people move through space, what pain points exist, how decisions are made, and what information solves problems.  

SOCs Reveal the Gap Between Technology and Mindset 

SOCs are a great example of where we’ve invested in modern systems but kept outdated workflows. I’ve seen facilities with brand new technology still operating like it’s 1990. Operators sit in front of walls of screens with no intelligence guiding them, no automation prioritizing what matters, and no outside data informing their decisions.  

We’re now working with clients to change that. Our team is developing frameworks to help SOCs incorporate more intelligence – from open-source data feeds and AI analytics – that push relevant, timely information to operators. The goal is to move from passive monitoring to proactive decision-making. We want operators to act faster and with greater confidence, whether they’re dealing with a protest, a fire, or something else developing blocks away.  

The Real Skill is Connecting the Dots 

There’s much you can do to future proof your security skill set, but my best advice for staying ahead of emerging technology is to focus less on mastering every new tool and more on strengthening how you think. Get better at diagnosing problems, understanding workflows, and asking sharper questions. Spend time learning from other industries. Surround yourself with people who challenge your assumptions — not just security peers, but operations, IT, and business leaders.  

Most importantly, when evaluating technology, don’t just ask what it does. Ask what else it could do. The future won’t reward those who know the most specs — it will reward those who know how to connect the dots. 

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March 2025 – Security Business Magazine

The evolution of security technology has led to a significant shift from traditional on-premises video surveillance and access control systems to cloud-based solutions. Organizations must carefully weigh the economic implications and critical system reliability when deciding between these two approaches. The advantages and disadvantages of each solution are not always clear, as their impact on operational costs, scalability, security, and reliability must be considered.

Given that this trend has no end in sight, let’s look at some considerations of Cloud-Based Video Surveillance and Access Control Systems.

Pros

1. Cost Efficiency and Scalability

Cloud-based systems reduce the need for significant upfront capital expenditures. Instead of purchasing expensive servers and storage devices, organizations can opt for a subscription-based model that spreads costs over time. This pay-as-you-go model allows businesses to scale their security infrastructure without large financial investments,

2. Remote Accessibility

One of the standout benefits of cloud-based security solutions is remote access. Administrators can monitor and control security operations from anywhere using internet-connected devices. This flexibility enhances security management, especially for businesses with multiple locations.

3. Automatic Updates and Maintenance

Cloud providers handle software updates, security patches, and maintenance automatically, ensuring systems are always up-to-date with the latest features and protections. This reduces the burden on in-house IT teams and lowers maintenance costs.

4. Data Redundancy and Disaster Recovery

Cloud providers offer robust data redundancy, storing surveillance footage and access logs in multiple locations to prevent data loss. In case of hardware failure, natural disasters, or cyberattacks, data recovery is swift and reliable.

5. Integration with Other Cloud Services

Cloud-based security systems often can integrate seamlessly with other cloud-based services, such as AI-powered analytics, machine learning for threat detection, and third-party applications that enhance functionality.

Cons

1. Ongoing Subscription Costs

While cloud solutions reduce initial costs, the recurring subscription fees can add up over time. For organizations with tight budgets, don’t jump to fast to dodge the capital expense of an on prem system, because the long-term operating expense may be a concern.

2. Internet Dependency and Latency Issues

Cloud-based systems rely on a stable internet connection. If connectivity is lost or slow, or limited in bandwidth, security monitoring and access control could be delayed, posing a risk in critical situations.

3. Data Privacy and Compliance Risks

Storing security data on external servers raises concerns about data privacy, regulatory compliance, and unauthorized access. Some industries, such as finance and healthcare, have stringent data protection regulations that might limit the use of cloud solutions.

4. Limited Customization

Cloud-based security services are often standardized, with limited options for customization. Businesses with specific security requirements might find it challenging to tailor cloud solutions to their needs.

However, On-Premises Video Surveillance and Access Control Systems have their own set of considerations to evaluate.

Pros

1. Greater Control and Security

On-premises systems allow organizations to retain full control over their security infrastructure, reducing reliance on third-party providers. Data is stored locally, reducing the risk of external breaches.

2. No Dependency on Internet Connectivity

Unlike cloud-based systems, on-premises solutions continue operating independently of internet availability, ensuring uninterrupted surveillance and access control. If you are a critical facility this point cannot be overlooked. 

1. Customizable Solutions

Businesses with unique security requirements can tailor on-premises systems to fit their specific needs, adjusting hardware and software configurations as necessary.

2. One-Time Investment with No Recurring Fees

On-premises solutions typically involve a one-time capital investment, eliminating ongoing subscription fees. Over time, this can be more cost-effective than cloud-based models.

3. Compliance and Regulatory Adherence

Some industries have strict data retention and privacy regulations that favor on-premises solutions. Keeping data stored locally ensures compliance with policies that restrict cloud-based storage.

Cons

1. High Initial Costs

Deploying an on-premises security system requires substantial upfront investment in hardware, software, and installation. This cost can be prohibitive for small and medium-sized businesses.

2. Limited Scalability

Expanding an on-premises system often means purchasing additional hardware and upgrading infrastructure, making scalability more complex and expensive compared to cloud solutions.

3. Maintenance and IT Burden

Organizations must handle system maintenance, software updates, and troubleshooting. This requires dedicated personnel and resources, increasing operational costs.

4. Risk of Data Loss

On-premises systems depend on physical storage, which can be vulnerable to hardware failures, fire, theft, or natural disasters. Without proper redundancy measures, data loss can be a significant risk.

When comparing cloud-based and on-premises systems, total cost of ownership (TCO) plays a critical role. Cloud-based solutions typically have lower upfront costs but involve continuous subscription fees. On-premises systems demand higher initial investments but may prove more cost-effective over several years if maintenance and upgrade costs are managed efficiently.

For small businesses or startups with limited capital, cloud-based solutions offer an affordable entry point with predictable costs. Larger enterprises, particularly those with stringent regulatory requirements, may find on-premises solutions more suitable for long-term cost efficiency.

Security infrastructure must also be highly reliable and resilient against potential threats. Cloud-based solutions offer strong redundancy but depend on external providers for uptime and security patches. On-premises systems provide complete control but require dedicated teams to manage and secure data effectively.

Cybersecurity is another key concern. Cloud providers invest heavily in security measures such as encryption, intrusion detection, and access controls. However, centralized storage presents a high-value target for hackers. On-premises solutions reduce exposure but require robust internal security protocols to prevent breaches.

So, what is the better choice? The decision between cloud-based and on-premises video surveillance and access control systems depends on a close evaluation of the pros and cons. Ultimately, businesses should conduct a thorough risk assessment before making a decision. In some cases, a hybrid approach may offer the best balance between cost efficiency, security, and scalability.

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Paul F. Benne

January 2025 – Security Business Magazine

In today’s interconnected world, the need to safeguard security systems from various threats has never been more critical. One of the most overlooked but potentially devastating risks to electronic systems is electromagnetic pulse (EMP) events, power surges, and lightning strikes. 

These phenomena can cause significant damage to electronic components, potentially rendering security systems inoperable at times when they are most needed. Fortunately, modern technology offers advanced solutions to ensure that security systems remain operational, even during extreme events.

Before diving into the specific technologies that protect security systems, it’s important to understand the nature of these threats.

• Electromagnetic Pulse (EMP): EMP events can result from natural or man-made sources. Solar storms, for instance, can release large bursts of electromagnetic energy that interfere with electrical systems on Earth. Similarly, nuclear detonations at high altitudes create EMPs that can cripple electronic systems across wide areas. The effects are sudden and widespread, causing irreversible damage to circuits unless appropriate protection is in place.
• Power Surges: Power surges occur when there is a brief but intense spike in voltage within an electrical circuit. Common causes include problems with the power grid, such as faults or switching operations, as well as nearby lightning strikes. Surges can damage sensitive electronics by overwhelming their design capacity, resulting in component failure and system downtime.
• Lightning Strikes: Direct lightning strikes are perhaps the most recognized threat to electronic systems. With the potential to deliver millions of volts, a lightning strike can instantly destroy unprotected electronics. Even indirect strikes, which induce high voltage transients into nearby power lines or data cables, can severely damage electronic security systems.

Given these threats, it is essential for Security Consultants and Integrators to advocate for the implementation of robust protective measures, especially in critical facilities. The following technologies are among the most advanced methods available for ensuring that security systems stay operational during extreme events.

Shielding Against EMP Events

EMP shielding is one of the most critical technologies for protecting security systems from electromagnetic pulses. The key is to create a protective barrier that prevents the electromagnetic energy from reaching sensitive electronic components.

• Faraday Cages: Faraday cages are metallic enclosures that protect equipment from EMPs by blocking electromagnetic fields. This is achieved by surrounding the sensitive equipment with a conductive layer, which distributes the electromagnetic charge around the cage rather than through the equipment inside. 
• EMP-Hardened Cables and Components: Another critical aspect of protecting against EMPs is ensuring that all cables and components are also hardened against electromagnetic interference. Shielded cables with appropriate grounding can prevent EMPs from entering a system through power or data lines. 
• Surge Suppression and Filtering: Incorporating surge suppression devices into the power and communication lines of security systems can also help mitigate the effects of an EMP by redirecting or absorbing excess energy before it reaches sensitive electronics.

Advanced Technologies for Power Surge Protection

Power surges are a common occurrence, often caused by irregularities in the power grid or nearby electrical faults. Modern surge protection technologies have advanced significantly, offering multiple layers of defense against surges.

• Surge Protection Devices (SPDs): SPDs are designed to detect and limit voltage spikes. These devices act as a gatekeeper, allowing normal voltage to pass through while diverting surges to the ground. Modern SPDs can respond in nanoseconds to prevent surges from damaging sensitive equipment. Advanced models now come with built-in diagnostics and monitoring capabilities, allowing operators to track performance and detect when the devices need replacement before failure occurs.
• Uninterruptible Power Supplies (UPS): While primarily used to provide temporary power during outages, UPS systems also offer excellent surge protection capabilities. Modern UPS systems use sophisticated filtering technology to smooth out power irregularities, ensuring a steady and safe power supply to security systems. 
• Isolated Grounding Systems: Implementing isolated grounding systems is another way to protect sensitive electronics from power surges. In an isolated grounding system, the ground circuit for sensitive electronics is separated from the building’s main grounding system. This reduces the risk of voltage surges caused by ground loops, ensuring that the security system remains unaffected by electrical noise and disturbances elsewhere in the building.

Lightning Protection for Security Systems

Lightning is a unique threat that requires specialized protective measures. Unlike EMPs and power surges, the energy released by a lightning strike can be catastrophic, requiring a comprehensive defense strategy.

• Lightning Arresters: Lightning arresters are critical devices designed to protect electrical systems from direct strikes by diverting the lightning’s energy away from the sensitive electronics. Installed at critical points where power lines or data cables enter a building, these arresters can prevent the massive voltage surges caused by lightning from traveling into the security system.
• Grounding and Bonding Systems: Effective grounding is crucial for protecting against both direct and indirect lightning strikes. A well-designed grounding system ensures that excess energy from a lightning strike is safely dissipated into the earth without causing harm to the security system. Proper bonding of metal structures and equipment within the building further helps prevent energy buildup, reducing the risk of damage.
• Transient Voltage Surge Suppression (TVSS): For indirect lightning strikes that induce surges into power lines, TVSS devices provide an additional layer of protection. Similar to SPDs, these devices limit the voltage passing through the system, ensuring that transient surges caused by lightning do not harm sensitive security equipment.

Companies like lifesafetypower.com and Altronix.com offer a host of power related products designed to supply and protect at the component level, while companies like EMPShield.com have products designed to protect everything connected to the power circuit, providing comprehensive protection. 

Protecting security systems from EMPs, power surges, and lightning requires a multi-faceted approach that integrates advanced technologies. By implementing these technologies, organizations can ensure the continued functionality of their systems, even in the face of extreme electrical events. This comprehensive approach to protection is critical for maintaining security and operational integrity in today’s increasingly volatile environment.

Conclusion:
In conclusion, protecting security systems from EMPs, power surges, and lightning strikes is essential to ensure their continuous operation, particularly during extreme events. Advanced technologies such as EMP shielding, surge suppression devices, and lightning protection systems provide essential defense for electronic systems in critical environments.

Source:
Paul F. Benne, “Tech Trends: Advanced Surge Suppression Technologies,” Security Info Watch, January 20, 2025. Available at: .

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