SolidCore.ai
Events We Are Sponsoring
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 Carahsoft 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:
- Where CloudTrail and invocation logs fall short — CloudTrail doesn't capture prompt or response content. Raw invocation logs in S3 or CloudWatch aren't an audit trail. We'll walk through what's missing and what your CAIO and auditors actually need to see.
- How SolidCore maps Bedrock activity to NIST AI RMF and 600-1 — API-level integration captures every prompt, response, model parameter, and configuration event. Automated compliance checks are pre-mapped to NIST AI RMF — no manual framework mapping required.
- Deployment in under 25 minutes, inside your VPC — Helm or Terraform deployment into your existing ECS or EKS environment. No proxy, no SDK, no application changes. Data never leaves your cloud boundary — no vendor access, no data egress, GovCloud compatible.
- From governance blocker to production confidence — See how SolidCore gives internal audit and AI governance teams on-demand compliance reports and policy enforcement evidence — without involving engineering.