AI Agent Data Exfiltration Checklist
A practical checklist for preventing AI agents from leaking private data through tools, retrieval, browser actions, files, logs, or external messages.
Practical, source-backed guides for securing AI agents, RAG systems, tool use, prompt-injection defenses, guardrails, authorization, monitoring, and reliability testing.
A practical checklist for preventing AI agents from leaking private data through tools, retrieval, browser actions, files, logs, or external messages.
A practical MCP security checklist for teams connecting AI agents to tools, files, APIs, developer environments, and internal data.
A practical guide to current AI agent security hotwords, including prompt injection, MCP tool poisoning, agentic ransomware, tool permissions, and data exfiltration.
A checklist for building a trust center page that explains AI agent boundaries, data use, security controls, and human review.
A template for documenting AI agent tools, permissions, failure modes, owners, controls, and launch decisions.
A practical template for reviewing what data an AI agent can read, write, remember, retrieve, and expose before launch.
A tabletop drill template for practicing what the team will do when an AI agent takes or recommends the wrong action.
A practical decision tree for deciding when AI agent actions should run automatically, pause for review, or be blocked.
A practical brief on how RAG evaluation, tool permissions, and human approval should fit together before AI agent launch.
A practical AI Agent Readiness Brief on role confusion, prompt injection, RAG trust boundaries, and tool-call approval checks for production agents.