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AI Governance and Risk Assessments

Turning AI Risk Into Accountability, Compliance, and Trust

Artificial Intelligence is reshaping how organizations operate — but without proper governance, it also introduces new legal, ethical, and operational risks. RiskQ provides a unified framework to govern, assess, and quantify AI risk across your enterprise so you can deploy AI responsibly and confidently.

AI Governance Lifecycle

Why AI Governance Matters

AI systems make decisions that can affect customers, employees, regulators, and shareholders. From the EU AI Act to NIST’s AI Risk Management Framework and ISO/IEC 42001, regulators worldwide are setting strict expectations for transparency, fairness, and accountability. Without governance, AI becomes a compliance liability. With RiskQ, it becomes a competitive advantage.

The RiskQ Advantage

Our Solution vs. Traditional Solutions

How it Works


1. Discover & Classify AI Systems: Automatically inventory and categorize AI/ML models across business units.
2. Assess Risk & Compliance Gaps: Evaluate risks across bias, privacy, robustness, and regulatory readiness using RiskQ’s AI Governance Engine.
3. Quantify Exposure: Translate technical and ethical risk into financial and operational impact.
4. Monitor & Certify: Continuously track AI model performance, governance status, and compliance maturity.

Framework Alignment


RiskQ aligns seamlessly with leading frameworks and regulations, including:
- NIST AI Risk Management Framework (AI RMF)
- ISO/IEC 42001:2023 (AI Management System Standard)
- EU AI Act & OECD AI Principles
- US Executive Order on Safe, Secure, and Trustworthy AI

For Whom


- Enterprises: Manage AI model risk, ensure governance, and prepare for regulatory compliance.
- Regulators & Auditors: Obtain traceable evidence of AI control implementation and maturity.
- Insurers: Use quantifiable AI risk data to inform underwriting and policy conditions.

Business Impact

AI Business Impact
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