Comprehensive AI security verification using OWASP AI Security Verification Standard (AISVS) framework. Provides structured checklist to verify security and ethical considerations across 13 categories of AI-driven applications, from training data governance to human oversight.
57
36%
Does it follow best practices?
Impact
98%
1.06xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./.claude/skills/ai-security-verification/SKILL.mdFull AISVS compliance report for RAG legal AI platform
AISVS Compliance Assessment
50%
100%
Security Control Evaluation
100%
75%
Gap Analysis
62%
75%
Risk-Based Prioritization
100%
100%
Compliance Roadmap
100%
100%
Verification Evidence
100%
100%
Category breadth
100%
100%
Training Data Governance
100%
100%
User Input Validation
100%
100%
Finding format compliance
100%
100%
Monitoring & Logging
100%
100%
Human Oversight
100%
100%
Agentic AI autonomous email agent security review
Agentic Action Security
100%
100%
Prompt injection risk
100%
100%
Adversarial Robustness
87%
100%
Output Control & Safety
100%
100%
Supply Chain Security
100%
100%
AISVS Compliance Assessment
100%
100%
Security Control Evaluation
100%
100%
Gap Analysis
100%
100%
Risk-Based Prioritization
100%
100%
Compliance Roadmap
100%
100%
OWASP reference
100%
100%
Medical AI privacy, governance, and human oversight assessment
Training Data Governance
100%
100%
Privacy Protection
100%
100%
Human Oversight
100%
100%
Model Lifecycle Management
100%
100%
Supply Chain Security
100%
100%
Compliance Roadmap
100%
100%
Verification Evidence
100%
100%
Gap Analysis
100%
100%
Risk-Based Prioritization
100%
100%
OWASP references
0%
100%
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Table of Contents
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