Enterprises Buy AI Like SaaS, but Its Failures Slip Past Every Dashboard An AI assistant starts giving subtly wrong answers, and every team that checks reports its own systems healthy. Catching it takes correlated telemetry, signed model weights, ML engineers in incident response and full-stack talent, before the people who know how to debug across the stack leave.
First seen on govinfosecurity.com
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