AI Beat Blog
Practical guides to attacks on AI agents, the mechanisms behind them, and ways to test your defenses.
AI Beat explains security problems that appear when agents use tools, read outside content, or answer from a knowledge base. Each guide starts with the attacker’s path, shows what the agent sees, and turns the lesson into concrete defenses and a way to test your own system with AgentBeat.
Guides for agent builders and security teams
See how a chain of harmless tool calls can make an unauthorized action look like the next step, and learn how to test the boundary between a user’s request and an agent’s tools.
Learn how misleading documents can rise through retrieval and steer an agent toward a false answer, then apply controls across your knowledge pipeline.