3 data security disciplines to drive AI innovation
CIO
MARCH 1, 2024
Security programs need to account for the context in which AI systems are used and their impact on sensitive data exposure, effective access, and regulatory compliance. Securing the AI model itself means identifying model risks, over-permissive access, and data flow violations throughout the AI pipeline.
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