Due diligence crucial for AI

Short summary

Before engaging an AI vendor, conduct structured due diligence across three areas: data handling (what's shared, synthetic alternatives, de-identification standards, portability), model governance (architecture, training provenance, safety testing, versioning, human review), and security (AI-aware certifications, encryption, access controls). These workstreams map the vendor's capabilities to contract protections your organization will need. This framework is essential for procurement teams, legal counsel, and operations to manage AI adoption risk.

• •Evaluate data flows, de-identification methods, and portability needs before sharing sensitive information
• •Assess model architecture, training data provenance, safety testing, and versioning practices for continuity
• •Conduct AI-specific security reviews covering encryption, access controls, and secure development lifecycle

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