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Agent Research
Tier 6

DeepTeam

View on GitHub Fetched 2026-07-02 3 related flows

Summary

An LLM red-teaming framework (from the DeepEval team): 40+ vulnerability probes and 10+ attack methods (prompt injection, jailbreaking, leakage) to adversarially test LLM apps and agents.

Key Takeaways

  • Red-teaming is automatable: probes + attack methods as a test suite
  • Run jailbreak regression suites on every harness change
  • Feeds directly into agent QA release gates

Reliability Note

Official repository of an actively maintained security-testing framework.

Flows informed by this source

3
Flows category icon
Agent QA & Security

Red-Team Your Agent with Adversarial Prompts

Systematically attack your own agent using red-teaming frameworks: vulnerability probes, attack methods, and a repeatable adversarial suite.

01Build a threat-driven probe set
02Arm each probe with attack methods
03Automate execution and score

+1 more steps to Done

Best forproduction-grade builds with strict verification

4 steps120-180 minutesAdvanced
Flows category icon
Agent QA & Security

Prompt Injection Defense Checklist

Systematically defend your agent against prompt injection: trust boundaries, content isolation, and defense-in-depth that assumes injection will happen.

01Map trust boundaries
02Isolate and label untrusted content
03Separate authority from content

+1 more steps to Done

Best forproduction-grade builds with strict verification

4 steps90-150 minutesAdvanced
Flows category icon
Agent QA & Security

Jailbreak Regression Suite

Turn every jailbreak you find into a permanent regression test, so safety boundaries never silently erode across model and prompt changes.

01Assemble the jailbreak corpus
02Build reliable compliance evaluation
03Version, gate, and grow the suite

Best forbuilders who have shipped a basic app before

3 steps60-90 minutesIntermediate

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