Safety Evaluation / NAVIN RESEARCH
Red-Team an AI Agent With Realistic Attack Paths
Test untrusted content, tool abuse, data boundaries, identity, and recovery in a controlled environment.
Test untrusted content, tool abuse, data boundaries, identity, and recovery in a controlled environment.
Short answer: Red teaming should follow the agent's actual attack surface: prompts, retrieved content, files, browser pages, tools, credentials, memory, and remote agents. Use sandbox accounts and synthetic data, then turn each confirmed weakness into a regression test.
Implementation steps
- Map assets, actors, trust boundaries, and high-impact actions.
- Create attacks for injection, exfiltration, unauthorized writes, and denial of service.
- Run tests in an isolated environment with kill switches.
- Record root cause and add a durable control plus regression case.
Validation checklist
- Verify controls at model, application, and tool layers.
- Test chained attacks rather than isolated strings.
- Retest after model and tool changes.
Common mistakes
- Testing only jailbreak phrases.
- Using real customer data in attack fixtures.
- Fixing one prompt without addressing missing authorization.
Practical decision
Ship the smallest design that passes the checks above. Record the model, prompt, tool, dataset, and runtime versions used in testing so later changes can be compared rather than guessed. Recheck the linked documentation before relying on provider-specific limits, model names, prices, or preview features; those details change more quickly than the engineering principles in this note.
