A hijacked AI agent looks exactly like a normal one, and 50% of security teams admit it

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Every security leader knows the logic of anomaly detection. You learn what normal looks like, then you watch for departures from it. The approach has become so widely accepted that it barely draws debate anymore. But new research suggests that as enterprises hand real work to autonomous AI agents, the foundation that approach depends on is missing in a place where it matters most.

Abnormal AI’s 2026 State of Behavioral Security Report, released recently, finds that 46% of security professionals describe themselves as not at all effective at establishing what normal behavior looks like for AI agents. The finding sits awkwardly beside another number from the same survey: 43% of respondents say agents will receive their largest behavioral-monitoring investment over the next 24 months, more than three times the 14% who named API integrations. Organisations, in other words, are preparing to spend heavily on watching something they have not...

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