AI agents that pass authentication can still drift, expose data, or get memory-poisoned

The article argues that enterprises are reaching first for AI gateways even though those controls depend on missing identity, delegation, task, and credential context. It cites an exploited LiteLLM vulnerability as evidence that the gateway layer can itself become a serious risk, while authenticated agents may still drift, expose data, or suffer memory poisoning.

The key trend is that agent security is shifting from simple access control toward full attribution across users, agents, tasks, tools, and credentials. Gateways may remain useful, but deploying them before foundational identity and context layers can create a false sense of safety and leave enterprises exposed to operationally valid but harmful actions.