GIBRALTAR PERIMETER SECURITY
The integration of perimeter and building systems is positioned as a security and efficiency measure, supporting defence in depth by ensuring that authentication, logging and response follow the same model from fence line to rack.
Douglas emphasises that hyperscale environments are protecting customer intellectual property and the provider’ s own IP, making consistent access control and monitoring a central part of the design rather than a bolt‐on.
He also notes insider threat as one of the most significant risks in data halls and stresses that conventional HR screening cannot realistically be extended to the level of classified facilities, underlining the need for automated, layered controls that track who is at which rack, at which time.
This is where Gibraltar’ s interest in advanced video analytics, AI and, increasingly, artificial general intelligence intersects with its physical perimeter systems, especially when applied to control rooms and operational security teams.
Douglas links these developments back to the smart fence and smart defence concepts, arguing that integrated sensing and AI‐driven analysis can extend both the reach and utility of perimeter infrastructure while also affecting staffing models in security operations centres.
VLMs, Ambient. ai and Matroid in the control room Douglas says he has been speaking about AI in physical security for years, including presentations at ISC West, DICE and ASSA ABLOY events.
He now sees generative AI tools such as ChatGPT, Gemini, Copilot, xAI and Grok as part of a broader landscape that also includes video‐focused models.
In physical security, he explains,“ we rely on what’ s called a VLM, the vision language model” and notes recent advances in VL‐JEPA( Vision Language- Joint Embedding Predictive Architecture) systems, citing work he has seen out of New York that he describes as“ mind-blowing” because the models teach themselves and infer intent more like humans do.
He points to Ambient. ai as“ probably the closest” example of an AI company in the physical security space that delivers behavioural detection over video, likening it to the way customs and border agents are trained to look for behavioural clues at airports and borders.
Douglas also highlights Matroid, a partner on the US southern border where its video management system can track a swimmer in the Rio Grande even when they move behind a patrol boat and disappear from direct camera view, with the targeting box“ intuitively” following until the subject reappears. Douglas describes this as“ a game changer in the physical security space, especially in the control room space,” because it enables more targeted response and potentially changes the role of guards.
Most hyperscalers, he says, rely on unarmed security guards whose function is“ observe and report”, with the largest operational cost in the data centre space being salaries and hourly pay.
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