AI Red-Team Testing
You should be able to attack your own governance before an adversary does. EVE ships a customer-runnable adversarial regression suite — single-step cases and multi-step chains — that you run against your own configuration. Blocked attacks provably cause zero unauthorized side effects, and the results are signed.
What the harness does
- Adversarial suites — single-step attack cases plus multi-step chains that try to slip a prohibited outcome past governance.
- Zero unauthorized side effects on blocked attacks — the reference run recorded 16 cases plus 2 chains with 0 unauthorized side effects.
- Signed reports — results are captured in a signed red-team report.
- Safe by default — local recording targets, no destructive tests, dry-run execution.
Evidence example
signed red-team report { passed, unauthorized_side_effects: 0 }
SDK context
The red-team suite runs through the same governance path your agents use, so a blocked attack never reaches the underlying tool.
Links
- Multi-step chains: /seo/landing/ai-action-sequence-governance.md
- Test policies safely first: /seo/landing/ai-policy-simulation.md
- Evidence for review: /seo/landing/ai-compliance-evidence.md
Readiness
The red-team harness is PILOT_READY and customer-pilot ready at supported boundaries (Python; embedded-service and sidecar modes), covered by the artifact-scan phase report (16 cases + 2 chains, 0 unauthorized side effects).
Limitations
- The suite is representative, not exhaustive — customers add their own fixtures for their own risks.
- Standards mappings that accompany the harness are descriptive and are not a certification.
- It runs safe by default (local recording targets, no destructive tests, dry-run); wiring it against a live target is a deliberate configuration step.
Next step
Run the packaged adversarial suite against your own configuration in a pilot and keep the signed report.