The international standard for AI governance. Required by third-party risk teams and becoming enterprise-expected by 2026.
Third-Party Audit
ISO 42001 certification readiness
Expert Assessment
AI governance & compliance
DLP Integrated
Technical controls + compliance
Industries and organizations facing AI regulatory scrutiny
Banks, credit unions, fintech firms subject to FDIC/OCC AI governance expectations
AI-powered diagnostics, imaging, patient engagement tools requiring HIPAA + AI governance
Defense and intelligence AI systems requiring formal management frameworks
CRM, HR tech, analytics platforms selling to enterprise with vendor risk requirements
Fortune 1000 companies using generative AI, LLMs, or ML models in operations
Any organization selling AI products/services in European markets post-August 2026
Organizations responding to RFPs requiring ISO 42001 certification proof
AWS, Google Cloud, and Microsoft Azure have all achieved ISO 42001 certification, with Microsoft requiring it for AI vendors under DPR v10
High-growth AI companies seeking enterprise credibility and compliance differentiation
As AI adoption accelerates, regulators and enterprise risk teams are requiring formal AI management systems
September 2025 draft compliance plan cites ISO 42001
Banks encouraged to adopt structured AI management consistent with ISO 42001
Documented, auditable controls aligned with ISO 42001
Reference model for AI risk frameworks during examinations
August 2026 enforcement deadline
ISO 42001 provides framework for AI Act compliance
Enterprise procurement requirement
Third-party risk teams now asking for ISO 42001 in RFPs
Most organizations are unprepared for AI regulatory requirements
Using AI in Business
Enterprises now use AI in at least one business function
Lack AI Governance
Do not have formal AI governance policies in place
Unprepared
Are unprepared for AI regulatory compliance requirements
The international standard for Artificial Intelligence Management Systems (AIMS)
AI Asset Inventory
Complete catalog of AI systems and models
Risk Classification
Categorize AI systems by risk level and impact
Data Governance (Annex A.7)
Data provenance, lineage tracking, quality management
Model Lifecycle Management
Development, deployment, monitoring, and retirement
Transparency & Explainability
Document AI decision-making processes
Continuous Monitoring
Model drift detection and performance tracking
Organizations with ISO 27001 certification achieve ISO 42001 compliance 40% faster
Many Annex A controls overlap with information security frameworks
DataFence DLP provides technical enforcement for data governance controls
Automated policy enforcement, data lineage, and audit trails required by ISO 42001
ISO 42001 aligns with NIST AI Risk Management Framework 1.0
Dual compliance approach for U.S. and international requirements
Third-party audit for ISO 42001 certification readiness
Estimated Total Timeline: 6-12 months from preparation through final certification
Comprehensive evaluation of your current AI governance maturity against ISO 42001's 38 Annex A controls
AI Asset Inventory
Catalog all AI systems and models
Risk Classification
Assess and categorize AI risks
Implementation Roadmap
Detailed preparation plan
Duration: 2-6 months (preparation and AIMS design)
Deploy DataFence DLP infrastructure and develop AI governance policies
DLP Deployment
Technical enforcement layer
Policy Development
AI governance documentation
Evidence Templates
Audit-ready documentation
Duration: Included in Phase 1 preparation period
Third-party audit process to assess ISO 42001 certification readiness
Stage 1: Documentation Review
Evaluate AIMS documentation and readiness
Duration: 1-2 days
Stage 2: Operational Effectiveness
Validate implementation and effectiveness
Duration: 3-9+ days
Gap Closure Period: 1-3 months between Stage 1 and Stage 2
Certification Decision: ~1 month after Stage 2 completion
Optional but highly recommended: Comprehensive adversarial AI security testing to validate your AI systems can withstand real-world attacks
Prompt Injection
Test LLM guardrails and input validation
Model Inversion
Extract training data vulnerabilities
Data Poisoning
Test resilience to malicious data
Duration: 2-4 weeks depending on AI system complexity
Receive comprehensive third-party audit report demonstrating ISO 42001 certification readiness
Readiness Report
Detailed audit findings and recommendations
Gap Identification
Areas requiring remediation
Continuous Support
Ongoing compliance guidance
Deliverable: Third-party audit report validating your organization's readiness for ISO 42001 certification
2-6m
Pre-Work
Preparation & AIMS design
1-2d
Stage 1
Documentation review
1-3m
Gap Closure
Address findings
3-9d
Stage 2
Operational effectiveness
2-4w
Pentesting
Optional security testing
~1m
Audit Report
Readiness assessment
The only certification service that combines auditing expertise with production-ready DLP infrastructure
Third-party ISO 42001 auditors with extensive AI governance experience
DataFence DLP provides automated technical controls that ISO 42001 requires
Third-party audit report demonstrating compliance preparedness
Start your ISO 42001 certification journey with third-party audit assessment and production-ready DLP infrastructure
Third-Party Audit
Expert Assessment
DLP Integration