
AIUC-1 Compliance and a Reference for Navigating the AI Risk Management Framework
If you're evaluating AI governance frameworks, AIUC-1 is worth your attention. It threads the needle that most emerging standards miss today. It's rigorous enough to hold up under enterprise scrutiny (and signed on to by many enterprises already), practical enough to actually implement. Fifty odd requirements spanning data privacy, security, safety, reliability, accountability, and societal impact.
Unlike frameworks designed for traditional software, AIUC-1 addresses the attack surfaces specific to AI systems: prompt injection, training data poisoning, hallucinations, and autonomous agent behavior.
The challenge, though is going from "here are the AIUC-1 requirements" to "here's our implementation plan". Documents are dense and compliance checklists don't write themselves. How do you actually get started on this journey for your product? We built a reference tool to help close that gap.
What the AIUC-1 Navigator does
The AIUC-1 Navigator makes the AI compliance requirements actionable
Why we built this
Teams know they need to get ahead of enterprise AI security and governance. But the standards landscape is fragmented right now - the EU AI Act, ISO 42001, NIST AI RMF, and now AIUC-1 all cover overlapping territory with different structures.
The Navigator is our attempt to make one of those frameworks easier to operationalize.
A note on affiliation
This is an unofficial community project. We're not affiliated with or endorsed by AIUC-1. We built this because we think the standard is solid and implementation guidance was missing. For the authoritative source, visit aiuc-1.com.
If you're working through AIUC-1 implementation and want help—whether that's a readiness assessment, the penetration testing and adversarial testing the standard requires, or just a second set of eyes, start a conversation with one of our specialists.