Inside Ambient Pulsar: The Reasoning Engine Powering Agentic Physical Security
Discover how Ambient Pulsar delivers human-level reasoning for physical security, powering Agentic Physical Security with frontier performance at 50x efficiency.
Enterprise physical security generates enormous volumes of video, yet most systems still fail to deliver understanding. Detection-first tools surface alerts without context, overwhelming teams with noise. More advanced AI approaches promise intelligence, but either lack true reasoning or introduce cost and complexity that make continuous use impractical at scale.
This white paper explains how reasoning changes the equation. It explores why physical security is a uniquely hard AI problem, why existing AI approaches fall short, and how Ambient Pulsar enables continuous, cost-efficient reasoning as part of the Ambient Intelligence stack. It also introduces Threat Signature Eval, a new benchmark proving frontier-level reasoning performance at 50× greater efficiency—making Agentic Physical Security achievable in practice.
Key takeaways:
- Why physical security requires reasoning, not just detection
- The limits of today’s AI and general-purpose reasoning models
- How Ambient Pulsar delivers frontier performance at enterprise scale
