Security Guide
AI Vulnerability Scanning Guide (2026) - Automated Security Testing
AI vulnerability scanning: automated tools test for prompt injection, data leakage, model extraction. Scan frequency: weekly for production, monthly for development. Vulnerability severity: critical (fix immediately), high (<7 days), medium (<30 days), low (<90 days).
Direct answer
AI vulnerability scanning: automated tools test for prompt injection, data leakage, model extraction. Scan frequency: weekly for production, monthly for development. Vulnerability severity: critical (fix immediately), high (<7 days), medium (<30 days), low (<90 days).
Fast path
- Select tools: Garak, PromptInject, Azure AI Red Team, vendor-specific scanners.
- Scan frequency: weekly production, monthly development, quarterly full assessment.
- Classify: critical (immediate fix), high (7 days), medium (30 days), low (90 days).
Guide toolkit
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Implementation Steps
- Select tools: Garak, PromptInject, Azure AI Red Team, vendor-specific scanners.
- Scan frequency: weekly production, monthly development, quarterly full assessment.
- Classify: critical (immediate fix), high (7 days), medium (30 days), low (90 days).
- Remediate: prioritize by severity, document fixes, verify resolution.
- Report: track vulnerability trends, measure remediation time.
Frequently Asked Questions
How to scan AI for vulnerabilities?
Scan AI vulnerabilities: use tools (Garak, PromptInject, Azure AI Red Team), test prompt injection, data leakage, model extraction, rate limit bypass. Frequency: weekly production, monthly development. Classify: critical (fix now), high (<7 days), medium (<30 days). Track remediation time.
What tools test AI security?
AI security testing tools: Garak (prompt injection, hallucination), PromptInject (adversarial prompts), Azure AI Red Team (comprehensive assessment), NVIDIA NeMo Guardrails (prompt testing), OWASP LLM Top 10 checklist. Combine automated + manual testing for comprehensive coverage.
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