5 Ways AI Agents Get Hijacked That Pattern Matching Can't Catch

This is the first article in a series on novel attacks against autonomous AI agents. These are threats that bypass traditional security infrastructure by exploiting how agents process context rather than what patterns they contain. Pattern matching is losing. Most AI security tools scan for signatures:"ignore previous instructions," base64-encoded payloads, known injection patterns. These tools catch amateur attacks. They miss the ones that matter. The attacks I'm seeing now don't look malicious. They look like data.