Analysis · curated 15 Jul 2026
Memory poisoning in AI agents: are your controls keeping up?
First reported lakera.ai
Coverage timeline
Single-source analysis — first reported, latest, and curated coincide.
Why it matters
Persistent-memory AI agents let attackers embed influence that survives beyond a single session, defeating governance models that assume agent behavior is short-lived and easily reviewed after the fact.
An NHIMG editorial based on Lakera research discusses memory poisoning and long-horizon goal hijacks in AI agents, where attackers persistently alter what agents remember and optimize for, creating silent compromise paths that unfold across sessions. The piece offers governance guidance such as treating persistent memory as governed state, tracing provenance on memory items, and monitoring multi-step workflows for objective drift.