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

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…

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