AI Security &
Agentic AI Risk Assessment
The first assessment designed to evaluate your organization's AI security posture across governance, technical controls, agentic systems, data privacy, and regulatory compliance.
Mapped to NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS, EU AI Act, and ISO/IEC 42001. Intelligently routed based on your AI systems — if you don't use agents, we skip those questions.
46 questions · ~10 minutes · Conditionally routed · Free
What We Assess
6 sections, intelligently routed based on your AI systems. If you don't use agentic AI, we skip those questions automatically.
AI Inventory & Routing
Intelligently routes your assessment based on your AI systems
Governance & Policy
AI risk frameworks, accountability, ethics reviews, incident response
Technical Controls
Prompt injection defenses, output filtering, monitoring, red teaming
Agentic AI Security
Agent permissions, kill switches, inter-agent security, memory isolation
Data & Privacy
Training data governance, PII controls, bias testing, data lineage
Compliance & Regulatory
EU AI Act, NIST AI RMF, ISO 42001, industry-specific regulations
Mapped to Leading Frameworks
What You'll Discover
- Your AI Security Maturity Score (0-100) across 5 dimensions
- OWASP LLM Top 10 vulnerability heat map for your systems
- MITRE ATLAS threat exposure analysis
- EU AI Act risk classification and compliance gaps
- Estimated Annual AI Risk Exposure in dollars
- Personalized remediation roadmap prioritized by impact
Why This Matters Now
- EU AI Act enforcement began 2025 — non-compliance fines up to €35M or 7% of global revenue (Article 99)
- OWASP LLM Top 10 (2025) added 4 new attack vectors — prompt injection, supply chain, and excessive agency are accelerating (OWASP Foundation)
- AI-involved breaches cost $4.88M on average — organizations with security AI tools saved $2.22M per breach (IBM Cost of a Data Breach Report 2024)
- Boards are asking — "What's our AI risk exposure?" This assessment gives you the answer in dollars.