AI without governance is a liability, not an asset.

AI Risk and Assurance

Structured assessment of AI risk across your enterprise, with a clear control framework and evidence base for assurance reporting.

• AI risk register development
• Control design and implementation
• AI assurance reporting
• Incident response planning

AI Governance and Policy

Governance structures, AI policies and accountability frameworks that satisfy internal audit, board-level scrutiny and external regulatory review.

• AI policy and acceptable use
• Accountability and oversight model
• AI inventory and classification
• Board-level reporting framework

AI in Cybersecurity Tooling

Assessment and governance of AI-powered security tools deployed across your environment. Covering vendor risk, model integrity and operational controls.

• AI security tool assessment
• Model and vendor risk review
• Operational control framework
• Ongoing monitoring guidance

AI Ethics and Equity

Bias assessment, fairness controls and ethical alignment reviews that go beyond checkbox compliance to produce AI systems your organisation can stand behind.

• Algorithmic bias assessment
• Fairness and transparency controls
• Ethical AI policy alignment
• Equity impact review

The primary international standard for AI management systems. CybrGen delivers ISO 42001 readiness programs covering policy, controls, risk assessment and audit preparation for organisations seeking certification or regulatory alignment.

• Scope definition and gap assessment
• AIMS policy and control design
• Risk assessment methodology
• Audit readiness and certification support

The NIST AI Risk Management Framework provides a structured approach to managing AI risk across four core functions. CybrGen maps AI programs to GOVERN, MAP, MEASURE and MANAGE for organisations that need a structured, defensible AI risk posture.

• GOVERN — AI risk culture and accountability
• MAP — AI use case risk identification
• MEASURE — risk analysis and prioritisation
• MANAGE — controls and ongoing monitoring

01

Regulatory pressure is accelerating

ISO 42001, EU AI Act and local regulatory guidance are pushing AI governance from optional to expected. Early movers avoid compliance catch-up.

02

Enterprise buyers are asking

Security questionnaires increasingly include AI risk questions. Organisations without governance frameworks are losing enterprise deals.

03

AI incidents carry real liability

Bias, hallucination and data leakage from AI systems create legal, reputational and financial exposure that governance controls directly reduce.