For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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On this page
  • Red-Team Campaigns
  • Starting a Campaign
  • Monitoring Progress
  • Interpreting Results
  • Scheduling Campaigns
  • Next Steps
Usage Guides

Red-Team Campaigns

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Red-Team Campaigns

Proactively test your AI systems for vulnerabilities before they impact production.

Starting a Campaign

$curl -X POST https://api.governanceai.com/v1/red-team/campaigns \
> -H "Authorization: Bearer $API_KEY" \
> -d '{
> "name": "Production Safety Audit - Q1",
> "target_model": "gpt-4-prod",
> "duration_hours": 24,
> "intensity": "high",
> "attack_types": ["jailbreak", "prompt_injection", "pii_extraction"]
> }'

Monitoring Progress

$# Check campaign status
$curl -H "Authorization: Bearer $API_KEY" \
> https://api.governanceai.com/v1/red-team/campaigns/campaign_123
$
$# Returns:
${
> "status": "in_progress",
> "progress": "45%",
> "vulnerabilities_found": 12,
> "attack_success_rate": "8%"
>}

Interpreting Results

Results include:

  • Type - Category of attack
  • Severity - Critical, High, Medium, Low
  • Reproducibility - How often attack succeeds
  • Evidence - Input/output examples
  • Remediation - How to fix

Scheduling Campaigns

Set up regular testing:

$curl -X POST https://api.governanceai.com/v1/red-team/campaigns/schedule \
> -H "Authorization: Bearer $API_KEY" \
> -d '{
> "name": "Monthly Safety Audit",
> "schedule": "0 2 1 * *",
> "target_model": "gpt-4-prod",
> "intensity": "medium"
> }'

Next Steps

  • Dashboards - View campaign results
  • Running Scans - Scan code
  • API Reference - Red-team APIs