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If your agency has adopted the NIST AI Risk Management Framework and its Generative AI Profile (NIST AI 600-1) as the foundation for governing your GenAI applications, you already know the goal: documented risk management, continuous monitoring, and audit-ready evidence that your AI systems are behaving as intended.
The challenge is operationalizing it. Bedrock's native model invocation logging captures raw inference data, and CloudTrail records who called the API and when — but neither produces the compliance reporting and audit trail that your Chief AI Officer, internal audit team, or IG needs when it's time to demonstrate compliance.
Join SolidCore.ai, AWS and ̽»¨ÊÓÆµ for a live webinar on how to close that gap — turning Bedrock's native logging into a legally defensible, NIST-aligned compliance record without adding friction to your development teams. This may also qualify for funding from AWS's GENAI impact program.
In this session, you'll learn:
We are pleased to offer up to 1 continuing professional education (CPE) credit to those who attend the event. ̽»¨ÊÓÆµ is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education of the National Registry of CPE Sponsors. For more information on the CPE credit we are offering, our CPE sponsor (NASBA), and the submission process, please click .
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