ISO 27001 Compliance for AI/ML Companies | Complete Guide
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Key Compliance Highlights
Information Security Management System (ISMS) implementation
Risk assessment and treatment methodology
Statement of Applicability (SoA) development
Internal audit and management review processes
Certification body selection and audit preparation
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Frequently Asked Questions
How does ISO 27001 apply to AI systems?
ISO 27001 covers the infrastructure and data security around AI. The upcoming ISO 42001 specifically addresses AI management systems, and can be integrated with your existing ISMS.
What AI-specific risks should be in the risk register?
Include model theft/extraction, training data poisoning, adversarial attacks, model drift, unintended bias, and explainability/transparency requirements from regulators or customers.
How do we secure the ML development lifecycle?
Apply controls to data pipelines, model training environments, experiment tracking, model registries, deployment pipelines, and production inference endpoints. Version control everything.
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Disclaimer: Compliance costs and timelines are estimates based on market benchmarks (AICPA fee surveys, vendor pricing indices 2025). Actual auditor fees and internal effort will vary based on your specific control environment, system complexity, and auditor selection. Consult with a qualified CPA for a formal statement of work.