SOC 2 Compliance for AI/ML CTOs
For AI/ML CTOs, SOC 2 isn't just about security—it's about protecting the integrity of your training data and ensuring your models are governed by robust access controls. This guide focuses on the technical nuances of AI compliance.
Tailored for AI/ML and CTO.
Head of Compliance Strategy • CPA, CISA, ISO 27001 Lead Auditor
Strategic Priorities for AI/ML CTO
Model Training Data Security
Ensure that the datasets used for training are stored in encrypted environments with strict IAM policies, satisfying the Confidentiality and Privacy criteria.
Compute Instance Governance
Implement automated scaling and monitoring for GPU clusters to ensure system availability and protect against unauthorized access to model weights.
Evidence Automation for CI/CD
Integrate your SOC 2 monitoring directly into your MLOps pipeline to collect real-time evidence of secure code deployments.
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.
Contextual Compliance Matrix
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Audit readiness checklist
- •Define scope and evidence owners for SOC 2 readiness
- •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
- •Access reviews
- •Change management approvals
- •Incident response logs
- •Vendor risk assessments
Frequently Asked Questions
Does SOC 2 cover AI model bias$1
SOC 2 focuses on the security, availability, and processing integrity of the system. While it doesn't explicitly audit bias, the Processing Integrity criteria ensures that data is processed accurately and authorized.
How do we handle large-scale data for SOC 2$2
AI startups should use automated evidence collection tools that integrate with AWS/GCP to monitor data buckets and compute instances continuously.
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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