̽»¨ÊÓÆµ, in conjunction with its vendor partners, sponsors hundreds of events each year, ranging from webcasts and tradeshows to executive roundtables and technology forums.
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.
SolidCore.ai, AWS and ̽»¨ÊÓÆµ hosted 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, attendees learned:
Fill out the form below to view this archived event.