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Guide

ISO 42001

Compliance Guide

ISO/IEC 42001 is an international management system standard that defines requirements for establishing, implementing, maintaining, and continually improving an artificial intelligence management system. The standard is maintained by the International Organization for Standardization (ISO) and provides a structured, risk-based framework to ensure the responsible, secure, and trustworthy use of AI systems.

This guide includes:

Convert ISO/IEC 42001:2023 requirements into a practical, auditable AI Management System (AIMS) your organization can operate and defend during certification. This guide specifies owners, organization-defined parameters (ODPs), measurable acceptance criteria, evidence, continuous monitoring, internal audit, management review, and corrective actions.

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Guide
ISO 42001
Compliance Guide

Learn best practices for maintaining ISO 42001 Compliance.

ISO 42001 in Apptega

Implementing ISO/IEC 42001 is a critical step in building a responsible and trustworthy AI governance program. It enables you to manage the risks associated with artificial intelligence while providing increased assurance to customers, partners, and regulators that you take the ethical, secure, and compliant use of AI seriously. As part of your ISO 42001 compliance strategy, consider using Apptega as your central governance and compliance management platform during and after the certification process.

At Apptega, we help organizations organize their programs around international and industry frameworks such as ISO/IEC 42001, NIST, CIS, ISO 27001, GDPR, and more. Our platform is designed to simplify governance, risk, and compliance management for all stakeholders, providing the capabilities you need across every phase of the audit, assessment, and certification process

Learn more
Key features include:
  • 25+ compliance & security frameworks
  • Automated compliance framework support
  • Continuous compliance
  • Risk management
  • Third-party risk management
  • Audit and evidence collection
  • Multi-tenant architecture for MSPs/MSSPs
  • Policy management
  • Centralized dashboards and reporting
  • Integrations with security tools
  • AI-assisted recommendations
  • Framework crosswalking

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