5 Runtime Signals for Catching a Compromised AI Agent
CSO Online, Monday, June 15th, 2026
Runtime behavioral detection is now essential for securing AI agents exhibiting the lethal trifecta of risky capabilities.
The lethal trifecta of private data access, untrusted content exposure, and external communication once marked high-risk agent designs but now describes standard enterprise deployments. Because architectural safeguards are no longer viable, Sophos CISO Ross McKerchar and others argue security teams must shift to runtime monitoring.
Key detection signals include instruction-following anomalies, unexpected tool call sequences, data exfiltration via legitimate channels, credential access outside task scope, and suspicious memory writes.
This requires comprehensive execution tracing, anomaly detection, input screening, and audit logging rather than architectural constraints.