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Zero Trust Meets Artificial Intelligence: Determinism, Probability, and the Governance Challenge
There are arguments that placing AI inside Zero Trust systems may allow AI to reintroduce the implicit trust assumptions that Zero Trust was created to remove. One way to compromise a machine learning model is to provide it with malicious data, poison its training set or slightly alter the input data so that the model produces incorrect predictions. Additionally, many machine learning algorithm operations are opaque, making audits extremely difficult. This lack of transparenc
Taylor Stonelake, CISSP
May 122 min read
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davidlevineconsult
Apr 290 min read
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