Static logs are no longer enough for regulators. The next generation of AI auditing requires dynamic, interactive evidence trails.
Regulators are becoming more sophisticated. They don't just want to see what happened; they want to see the "why" and the "how" in a way they can interact with.
The Limitation of JSON Logs
Most teams store their AI outputs as flat JSON files. While these are great for developers, they are nearly useless for compliance officers.
- Lack of Context: A log tells you what the model said, but not what it thought or what it saw.
- No Lineage: It's hard to trace a single response back to a specific version of a prompt or a specific data chunk.
Enter Interactive Evidence Trials
HardRAG is pioneering the concept of "Evidence Trails"—a visual, navigable history of every AI decision.
When an auditor clicks on a response, they should see a map of the decision-making process. This is the difference between surviving an audit and passing it with flying colors.