Securing artificial intelligence (AI) systems can seem daunting given their complexity, unique risks, and rapidly evolving capabilities. However, organizations don’t have to start from scratch. By building on established cybersecurity frameworks and standards—particularly the NIST Risk Management Framework (RMF) and SP 800-53— securing AI systems can be more manageable, scalable, and aligned with broader existing cybersecurity, privacy and C-SCRM risk management practices.
This webinar presents a new project to develop NIST security control overlays tailored for AI systems. These overlays adapt, tailor, and supplement the SP 800-53 controls to address AI-specific concerns such as model integrity, data provenance, adversarial robustness, and transparency—without reinventing the wheel.
Join the project leads for this session and learn:
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- How NIST SP 800-53 can be used to address AI system security risks for the most broadly used use cases
- The role of control overlays in simplifying AI security
- Some key AI-specific threats and how the overlays intend to help mitigate against them
- How overlays can promote consistency, interoperability, and trust within and across organizations, and
- How to join this effort!
Whether you're working in cybersecurity, AI development, risk management, or compliance, this session will show how using familiar tools and standards can make AI security not only possible—but practical.
Space for this webinar is limited, and registration will close once capacity is reached!
Recording Note: This webinar will be recorded and posted following the live event. By registering for — or attending — this event, you acknowledge and consent to being recorded.
Questions should be directed to: [email protected].
