AI Governance Frameworks

Secure60’s Governance pillar includes pre-built compliance templates for AI-specific frameworks. These templates map controls, track evidence collection and produce the reporting needed for audit and board-level oversight.

Supported Frameworks

ISO 42001 — AI Management Systems

ISO 42001 is the international standard for AI management systems. Secure60’s template maps the standard’s controls to platform capabilities:

• AI policy and objectives — Track documented policies and their review status.
• Risk assessment — Map AI risks to controls and evidence.
• Performance evaluation — Collect metrics and audit evidence automatically from the platform.
• Continual improvement — Track corrective actions and control review schedules.

NIST AI RMF — AI Risk Management Framework

The NIST AI Risk Management Framework covers four core functions. Secure60’s template provides control mapping and evidence collection for each:

• Govern — AI governance policies, roles and oversight structures.
• Map — AI system context, stakeholders and impact assessments.
• Measure — Metrics, testing and monitoring for AI risks.
• Manage — Risk response, mitigation actions and documentation.

EU AI Act

For organisations operating in or selling into the European Union, the EU AI Act template covers:

• Risk classification — Mapping AI systems to the Act’s risk categories.
• High-risk obligations — Controls for data governance, transparency, human oversight and accuracy requirements.
• Documentation — Technical documentation requirements and conformity assessment preparation.
• Reporting — Incident reporting and post-market monitoring obligations.

How It Works

AI governance frameworks are managed through the same Governance pillar interface used for PCI DSS, ISO 27001, NIST CSF and ASD Essential 8:

1. Activate a framework — Enable the AI governance template for your organisation.
2. Map controls — Review the pre-mapped controls and adjust to your specific AI deployment landscape.
3. Collect evidence — Evidence is collected automatically from the platform where possible (e.g. AI audit trail data, detection rule coverage, vulnerability scan results). Manual evidence can be uploaded for controls that require it.
4. Track reviews — Schedule and track control reviews. Set reminders and flag overdue items.
5. Report — Generate compliance posture reports suitable for board presentation, audit submission or regulatory review.

Integration with AI Security

AI governance frameworks work alongside the detection and audit capabilities:

• Detection rules for prompt attacks and data exfiltration provide evidence for security controls.
• The AI audit trail provides evidence for logging, monitoring and transparency controls.
• Vulnerability management findings for AI supply chain risk feed into risk assessment controls.

This means that the operational security work you are already doing contributes directly to governance evidence — reducing the manual effort required for compliance.

Getting Started

Contact Secure60 to discuss which AI governance frameworks are relevant to your organisation. The team will help you activate the appropriate templates, configure control mappings, and set up evidence collection workflows.