The Urgent Need for Physical and Cybersecurity Convergence

https://www.securitysales.com/insights/urgent-need-physical-cybersecurity-convergence/619369/

Publish Date: 2026-06-17 13:17:00

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Using an unordered list, summarize the following article with between 4 and 8 key points.

In the global video analytics market, forecasted to reach $14.65 billion in 2026, the “edge-based” segment is now the fastest-growing deployment type, outpacing traditional centralized software models.
For security integrators, it is clear that the shift towards video cameras becoming powerful artificial intelligence-enabled edge computing devices isn’t slowing down and this technology collects significantly more data than video images alone.
Since these high-powered devices sit exposed on the physical perimeter but connect directly to the network, they represent a dangerous new frontier for cyber vulnerabilities.
To protect modern devices and proactively address these challenges, systems integrators and security leaders can no longer treat physical security and cybersecurity as two separate entities. Their approach must merge into a unified strategy to secure the devices on their networks.

Security Convergence Begins in the Supply Chain
Cybersecurity for physical devices must start long before a camera ever connects to a network. It begins in the supply chain with how hardware components are sourced and how protections are engineered into the product.
Organizations need verifiable audit trails for all components alongside physical, tamper-proof seals. This creates a continuous chain of trust, ensuring devices haven’t been intercepted or injected with dormant sleeping viruses or compromised firmware before they arrive at the installation site.
AI at the Edge Demands IT-Grade Guardrails
Putting AI at the edge requires significant compute power to be placed directly onto field devices, meaning physical security tech now holds capabilities comparable to server-grade machines.
As AI capabilities, including emerging generative AI techniques, moves to the edge, strict guardrails must be built directly into the development process to prevent adversarial manipulation, including prompt injection or models performing unintended tasks.
Additionally, devices must be locked down to prevent users from installing unauthorized applications, such as facial recognition software that could misuse captured data.
Two initial steps for security integrators to consider can include verification through independent testing and combining security measures. Integrators should prioritize hardware platforms that feature a built-in Secure Element, a tamper-resistant chip, capable of supporting 4096-bit certificate key lengths.
Combining a secure element with secure boot and cryptographically signed firmware ensures that only authentic, verified firmware can be installed, effectively blocking compromised software or unauthorized AI capabilities. These IT-grade standards are essential for robust authentication. To ensure long-term resilience, look ahead to manufacturers supporting quantum-resistant certificates to protect against the next generation of digital threats.
These rigorous standards are especially vital in sensitive environments. Take government agencies, utilities, schools, or healthcare facilities, for example. In these locations, hardening is crucial to prevent the execution of unauthorized applications.
Integrators need to ensure security measures remain ironclad and do not violate privacy or IT policy. Ultimately, this grade of edge protection must be baked in long before the device reaches the field.
A comprehensive security posture also demands authenticated, verifiable validation through independent testing. Integrators must vet technology partners based on rigorous third-party certifications, such as the UL 2900 Series of Standards or EAL6+ Common Criteria, which indicate that secure chips have undergone formal verification.
For high-security installations, insist on FIPS 140-3 Level 3 compliance to ensure strict requirements for cryptographic modules and physical tamper resistance are met. By requiring these certifications, integrators can ensure that the edge devices are hardened against execution of unauthorized applications, protecting the site against violations of privacy, policy or law.
Design Privacy and Ethical AI Now Security Imperatives
Physical security devices must use AI responsibly, offering baseline features like automatic face blurring to ensure public privacy is strictly maintained. One example that comes to mind is in retail stores. Until and unless something critical is occurring, security and asset protection staff don’t necessarily need to capture the face of every shopper. Software that blurs faces ensures privacy is protected while threats are able to be detected.
As GenAI-enabled solutions emerge, these systems can analyze physical spaces and provide context to a scene, triggering alerts and automating decisions. Because these devices make autonomous decisions based on visual data, they should provide transparency to human operators into how conclusions are derived, explaining exactly how and why a specific conclusion was reached.
The convergence of physical and cyber domains requires that this level of supervision be built into the development process, not addressed as an afterthought. Manufacturers must implement strict guardrails during model training to ensure solutions meet global ethical standards before deployment.
This includes robust processes for acquiring consent-based training data to ensure AI models are not biased against certain demographics or ethnicities. Additionally, they should also be able to provide full documentation of how and why outputs are generated by the GenAI models. Finally, models should be constrained so users cannot manipulate prompts or inputs to produce unintended behaviors or attempt the re-identification of personal data.
Security Integrators Must Demand More Convergence
Systems integrators, IT leaders, and wider organizations must demand higher, authenticated cybersecurity standards to elevate the security posture of the entire industry. True security today requires an integrated approach, addressing both physical security and cybersecurity concerns.
Combining supply chain integrity, hardware-rooted protections, and rigorous AI guardrails is the only path forward to safeguard both organizations and the privacy of the people being monitored. When navigating the transition to AI-enabled video solutions, intelligence without integrator trust and firm processes is an overall liability, as security now must be engineered from start to finish.
Sachin Khanna is vice president and chief product officer of IQSIGHT.