By Chris Lobozzo · 25 years in physical security

AIOT Strategy
Insights.

Practical frameworks and deep dives bridging the gap between physical sensors, AI, and actionable enterprise intelligence.

Post 01
Chris Lobozzo5 min read

AI vs Analytics in Physical Security

Walk any security trade show floor and one thing becomes obvious: everything is suddenly AI-powered. The reality is simpler.

March 1, 2026Read
Post 02
Chris Lobozzo6 min read

The Intelligence Spectrum

Not all AI is created equal. Most of what the security industry calls AI would fail a pop quiz on what intelligence actually means.

March 5, 2026Read
Post 03
Chris Lobozzo5 min read

The Biggest Lie in AI: "Our System Learns"

Every pitch deck says it. Every spec sheet implies it. "Our AI learns and adapts." But what does that actually mean in practice? Usually, not much.

March 8, 2026Read
Post 04
Chris Lobozzo7 min read

The AI Pipeline Nobody Explains

Most vendors show you the result. Few explain the process. Here is what a real AI pipeline looks like under the hood.

March 12, 2026Read
Post 05
Chris Lobozzo8 min read

The Integrator's Guide to Evaluating AI Platforms

Your client wants AI on their cameras. Nobody taught a class on how to evaluate AI platforms. This is the framework you need to do it right.

March 15, 2026Read
Post 06
Chris Lobozzo6 min read

Stop Ripping Out Your Cameras

The pitch is always the same: rip everything out and replace it. But if your cameras produce clear images, you already have the hardest part.

March 19, 2026Read