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Translating the NIST AI RMF into Measurable Risk Outcomes

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Data Security Posture Management

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On this webinar, we’ll break down how to turn the NIST AI Risk Management Framework into practical, measurable risk outcomes that organizations can track, report, and improve. Attendees will gain clarity on how to operationalize the framework, strengthen governance, and align AI risk practices with business impact. Our panel of experts will address:

• The core components of the NIST AI RMF and how they translate into actionable controls.

• Methods for converting qualitative AI risks into measurable, repeatable metrics.

• Practical approaches for embedding AI risk monitoring into existing GRC and audit workflows.

• Common implementation pitfalls and proven strategies for achieving meaningful AI risk outcomes.

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Translating the NIST AI RMF into Measurable Risk Outcomes

Speakers

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Dirk Schrader

VP of Security Research