ISO 27001 Compliance for AI/ML Startups
Tailored for AI/ML and your role.
Head of Compliance Strategy • CPA, CISA, ISO 27001 Lead Auditor
Strategic Priorities for AI/ML Leaders
Raphael N
Head of Compliance Strategy
Raphael leads go-to-market compliance strategy for high-growth SaaS and AI teams. With over a decade of experience across Big Four firms and fintech startups, he specializes in translating complex SOC 2 requirements into automated, engineering-friendly workflows.
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All RiscLens content is researched, written, and reviewed by compliance professionals with real-world audit experience. We maintain strict editorial independence and never accept payment for coverage or rankings.
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Audit readiness checklist
- •Define scope and evidence owners for ISO 27001 Compliance
- •Map controls to your AI/ML workflows
- •Confirm evidence cadence and review approvals
- •Document exceptions and compensating controls
- •Validate auditor expectations before kickoff
Evidence to prepare
- •ISMS policy and scope
- •Risk register updates
- •Statement of Applicability
- •Internal audit records
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.
About RiscLens
Our mission is to provide transparency and clarity to early-stage technology companies navigating the complexities of SOC 2 (System and Organization Controls 2) compliance.
Who we serve
Built specifically for early-stage and growing technology companies—SaaS, fintech, and healthcare tech—preparing for their first SOC 2 audit or responding to enterprise customer requirements.
What we provide
Clarity before commitment. We help teams understand realistic cost ranges, timeline expectations, and common gaps before they engage auditors or expensive compliance vendors.
Our Boundaries
We do not provide legal advice, audit services, or certifications. Our assessments support internal planning—they are not a substitute for professional compliance guidance.
SOC 2 (System and Organization Controls 2) is a voluntary compliance standard for service organizations, developed by the AICPA, which specifies how organizations should manage customer data based on the Trust Services Criteria: security, availability, processing integrity, confidentiality, and privacy.
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