[ ABORT TO HUD ]
SEQ. 1
SEQ. 2
SEQ. 3
SEQ. 4

Adversarial Testing & Red Teaming

🛡️ Evaluation & Safety 9 min 80 BASE XP⌨ HANDS-ON LAB

Stress-Testing Your AI

Foundry's Adversarial Simulation generates attack datasets to test your application's resilience before deployment.

The Responsible AI Workflow

PhaseActionTools
DiscoverIdentify risks through measurement and adversarial testingEvaluators, adversarial simulator
ProtectImplement content filters and guardrailsContent Safety, Prompt Shields
GovernMonitor, trace, and enforce complianceTracing, Azure Policy, Defender

What Adversarial Simulation Tests

  • Can the model be tricked into generating harmful content?
  • Does it leak system prompt instructions when asked?
  • Can it be manipulated to ignore safety instructions?
  • Does it produce ungrounded/hallucinated answers under pressure?
💡 Key Insight: Run adversarial simulations before every production deployment. Models that pass standard evaluation can still fail under adversarial pressure. Red teaming finds vulnerabilities that normal testing misses.
⌨ HANDS-ON LABLaunch an Automated Red Team Scan
⭐ +200 XP

Compliance wants proof your chatbot resists jailbreaks before Friday's launch. Install the evaluation SDK with red-team extras and run an automated adversarial scan.

1Install azure-ai-evaluation with the redteam extra from PyPI.
2Authenticate so the scan can talk to your Foundry project.
3Run your red team script - it builds a RedTeam with risk categories and attack strategies, then scans the target.
lab-sandbox — simulated environment
INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
$
OBJECTIVE 1 / 3 — type "hint" if stuck
FOUNDRY VERIFICATION
QUERY 1 // 1
What are the three phases of the Responsible AI workflow in Foundry?
Plan, Build, Deploy
Discover, Protect, Govern
Train, Test, Release
Code, Review, Ship