Implementing a Zero Trust approach to AI poses risks such as data privacy breaches, model vulnerabilities, bias perpetuation, explainability challenges, integration complexity, adversarial attacks, and regulatory non-compliance. Addressing these risks requires robust security measures, continuous monitoring, and adherence to regulatory standards. This presentation will answer:
- What risks come with the use of AI
- How Zero Trust is creating new risk and how Zero trust can help boost cybersecurity
- How to implement a Zero Trust focus in AI
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