AI Governance Institute
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Secure Development Lifecycle

A secure development lifecycle is a set of practices built into every stage of software creation, from design and coding through testing and release, so that security problems are caught early rather than patched after launch. For AI systems, it covers things like reviewing training data sources, testing models for unsafe behavior, and checking third-party components before they go into production. Compliance and risk leaders care about it because regulators and customers increasingly ask for documented evidence that these checks happen, not just a promise that they do.

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