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Showing 2 resources for "red-teaming"
Saved
Active

1 trusted · 1 review in this set — compare to see which signals differ.

Rollout signal scan

1 rollout risk signal in current results

Biggest gaps: metadata review. 0 entries have 2+ required gaps.

2 scanned

Install payload

Install payload is mixed and needs spot-checking.

watch

50% (1/2)

Adoption queue

Browse adoption queue · balanced

1/2 visible results are in hold tier and need mitigation before adoption.

ready 0caution 1hold 1
caution

70/100

Request metadata review from maintainers or internal owners.

skills/prompt-injection-defense-guardrails · trust trusted · confidence 83%

Microsoft PyRIT

2 blockers: Metadata review, Install payload

hold

36/100

Request metadata review from maintainers or internal owners.

Add install/config payload for reproducible team rollout.

Collect package checksum or signed artifact information.

tools/pyrit · trust review · confidence 50%

Decision confidence

Decision confidence scan · balanced

1/2 results are low-confidence and need review before adoption.

high 1medium 0low 1

Microsoft PyRIT

Hold adoption until Metadata review, Package integrity are resolved.

low

36/100

Missing: Metadata reviewMissing: Package integrityMissing: Install payload

tools/pyrit · trust review

Freshness distribution

50% of this view is aging or stale

Median age 82 days; 1 fresh of 2 scanned. Re-verify the oldest entries.

median 82d

Aging

91–180 days

50%

1 entry

Stale

> 180 days

0%

0 entries

Build layered defenses against prompt injection, data exfiltration, and unsafe tool execution in AI agent systems.

Level:advancedType:generalVerified:draft
Safety ✓ Privacy ✓
Microsoft PyRITby Microsoft · submitted by oktofeesh1

Open-source Python framework from Microsoft for identifying generative AI safety and security risks through automated and human-led red-team assessments.