AI isn’t just making surveillance cameras better. It’s changing what surveillance even means.
The Financial Times ran a piece on how AI is shifting video surveillance capabilities, drawing on intel from Israel, Iran, and Russia. The key development? Natural language search.
Older surveillance tools were limited to a few dozen preset searches. AI-based tools have no such limit. Analysts can now search through massive video streams with plain language queries. “Two men handing a bag to each other.” “A person who changed clothes multiple times in a day.” “A vehicle that was recently painted over.”
That’s not sci-fi. It’s happening now.
One European official whose country uses this tech on its cities called it “the holy grail of surveillance.” His words: “We are able to look for behaviour, not objects — it has created a world of new possibilities.”
Schneier wrote about this a few years back. His point: AI enables mass spying the same way computers and networks enabled mass surveillance. The difference now is scale and specificity. You don’t need a human watching 500 cameras. You need an AI that knows what to look for.
The implications are huge. Behavioural surveillance at this scale wasn’t practical before. Now it is. And we’re only at the beginning.
