This is fiction. For now.  I have an AI agent connected to my email and Slack. It can read... Tagged with agents, mcp, security, ai.

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A practical guide to preventing AI agents from taking unauthorized actions when connected to real-world systems like email and Slack. Four layered defense strategies are covered: system prompts (necessary but insufficient), deterministic allowlisting via hooks in the Strands Agents SDK, LLM-based steering handlers that evaluate tool calls in context, and Cedar policies through Amazon Bedrock AgentCore Gateway for cloud-scale deployments. The core principle is that agents should reason about what to do, not what they're allowed to do — authorization must be enforced in code, not left to model reasoning.

How to Stop My Agent from Getting Me Fired

System prompts: necessary but not sufficient