Free Lesson

Your AI Agent Has Tools. Can You Trust It?

45 min

Aug 20, 2026 11:00 AM

What you'll learn

Identify Agent Security Risks

Recognize prompt injection, tool abuse, data leakage, excessive permissions and unsafe autonomous actions.

Design Least-Privilege Agent Access

Structure tool and API permissions so agents receive only the authority needed for each workflow.

Enforce Security Beyond Prompts

Use deterministic policies, approval gates and controls outside the LLM to block unsafe actions.

Test Agents with Security Evals

Build adversarial evals for prompt attacks, policy bypass, tool misuse and sensitive-data exposure.

Why this topic matters

As AI agents gain access to enterprise data, APIs and tools, security failures can trigger real-world consequences. Production teams must protect against prompt injection, tool abuse, data leakage and unsafe actions using least privilege, deterministic policies, approval gates and adversarial security evals.