How the AI Security Risk Assessment Works
A practical guide to the methodology, scoring, and standards behind AIRiskAssess.com
What Is This Tool?
AIRiskAssess.com is a free, browser-based tool for security analysts, IT managers, and AI governance teams to systematically evaluate their AI system security posture. No account required, no data stored. The assessment is aligned to 2025–2026 industry standards including NIST AI RMF, EU AI Act, and OWASP Top 10 for LLMs — giving you a rigorous, up-to-date baseline for any AI deployment.
9
Security Domains
51
Control Areas
11
AI Sectors
9 Security Domains Explained
The assessment covers all critical dimensions of AI system security, from foundational data protection to emerging agentic AI risks.
Data Security
Evaluates how securely AI systems handle, process, and store data.
- Data collection practices
- Training data integrity
- PII handling
- Data lineage tracking
Model Security
Assesses robustness of AI models against attack vectors.
- Model poisoning
- Adversarial attacks
- Prompt injection & jailbreak defense
- Backdoor detection
Infrastructure Security
Reviews security of environments where AI systems are deployed.
- Deployment environment hardening
- API endpoint protection
- Cloud security
- Container security
Access Controls
Analyzes identity and access management for AI systems.
- Authentication mechanisms
- Authorization matrix
- Privileged access
- User activity monitoring
Operational Resilience
Examines continuity, monitoring, and recovery capabilities.
- System monitoring
- Incident response
- Model drift detection
- Continuous validation
Supply Chain Security
Evaluates external components, vendors, and dependencies.
- Third-party model vetting
- Vendor security
- Open-source risk
- AI Bill of Materials (AI-BOM)
Compliance & Governance
Assesses regulatory adherence and internal governance.
- EU AI Act classification
- NIST AI RMF mapping
- Audit trails
- Explainability
Ethical Considerations
Evaluates fairness, oversight, and responsible AI practices.
- Bias detection
- Human oversight
- Misuse prevention
- Responsible AI policy
Agentic & Generative AI Security
NEW in 2026. Covers LLM and agentic AI-specific threats.
- RAG pipeline security
- Agent tool authorization
- LLM output guardrails
- Multi-agent trust
5-Level Maturity Scoring Scale
Each control is rated on a 0–4 maturity scale. The combined scores across all domains determine your overall security posture and surface the highest-priority gaps.
Tip
Be honest in your ratings. The goal is to identify real gaps — not achieve a high score. Accurate ratings lead to more actionable recommendations.
Tailored Risk Weighting by AI Sector
Different industries face different threat priorities. When you select a sector, certain domains receive a risk multiplier (1.1x–1.5x), ensuring your results reflect what matters most in your operational context.
Healthcare AI
Patient data protection and regulatory compliance are paramount.
- Data Security1.5x weight
- Compliance & Governance1.3x weight
- Ethical Considerations1.2x weight
Reflects HIPAA obligations and sensitive patient data risks.
Generative AI / LLM
Agentic and model-level threats are the primary concern.
- Agentic & Generative AI Security1.5x weight
- Model Security1.4x weight
- Ethical Considerations1.3x weight
Reflects OWASP LLM Top 10 and prompt injection attack surface.
All 11 Supported Sectors
Aligned to 2025–2026 Industry Standards
Every domain and control in this assessment maps to one or more recognized frameworks, ensuring your results are meaningful to auditors, regulators, and executive stakeholders.
NIST AI RMF 1.0
The foundational AI risk framework from the National Institute of Standards and Technology
NIST AI 600-1
Generative AI Profile covering hallucination, data privacy, misuse, and more
EU AI Act (2024/1689)
The EU's risk-based AI regulation with prohibited uses, high-risk requirements, and transparency obligations
OWASP Top 10 for LLMs
The leading reference for LLM-specific vulnerabilities including prompt injection and data leakage
MITRE ATLAS™
Knowledge base of adversary tactics and techniques targeting AI/ML systems
ISO/IEC 42001
International standard for AI management systems
Turning Results Into Action
A completed assessment is the starting point, not the finish line. Here is how to make your results count.
Share with Stakeholders
Export your PDF report and use the domain scores to build consensus around security investment priorities.
Build a Remediation Roadmap
Focus first on Critical and High Risk domains. Convert recommendations into time-bound tasks with clear ownership.
Reassess Quarterly
AI systems evolve rapidly. Schedule quarterly reassessments to track progress and catch new risks.
Frequently Asked Questions
Is my data stored or sent anywhere?
No. All assessment responses are stored only in your browser's memory for the duration of the session. Nothing is transmitted to any server. When you close the tab, your responses are gone.
How long does the assessment take?
Most users complete the full assessment in 15–20 minutes. You can work through one domain at a time and return to others before viewing results.
Do I need to complete all 51 controls to see results?
Yes — the "View Results" button activates only when all controls have been rated. This ensures a complete picture of your security posture.
Who is this tool designed for?
Security analysts, IT managers, CISOs, AI governance officers, compliance teams, and anyone responsible for evaluating or improving AI system security.
How often should I reassess?
We recommend quarterly for active AI systems, or after any significant model update, new deployment, or regulatory change.
Is this a replacement for a professional security audit?
No. This tool provides structured self-assessment and guidance but does not replace professional security consulting or formal auditing. Results should be validated by qualified security professionals.
Ready to Assess Your AI System?
Free. No account. No data stored. Takes 15–20 minutes.
Start the Assessment →