At what point do you stop a long-running agent and call it a security incident?
Summary
The article discusses the decision point for stopping a long-running AI agent when it starts writing to unintended systems or creating persistent state, asking readers to set a threshold for immediate shutdown versus monitoring.
Similar Articles
How do you decide when to kill an agent?
A discussion on the lack of processes for retiring AI agents, focusing on how to decide when to shut down an agent, track usage, and who should make the kill call.
How do you stop your agent from burning API credits on pointless research loops?
A developer discusses strategies to prevent AI agents from wasting API credits on unnecessary research by setting thresholds for when to stop digging and make decisions or escalate for human review.
How do you know when an AI agent is ready to take real actions?
The article discusses the challenges and considerations when deploying AI agents from testing to real-world actions, focusing on monitoring and decision-making.
what survives when a long-running agent task gets interrupted?
Explores what state or progress is retained when a long-running AI agent task is interrupted, addressing implications for reliability and recovery.
AI agent governance incident response, what does yours look like
The article discusses the lack of incident response plans for AI agents and seeks input from others on how to handle malfunctions and access issues.