Governance
claims are
everywhere.
Proof is
nowhere.

"Name every AI system that processes personal information. Show me the ADM Declaration. Prove you took reasonable steps."

"Post-Robodebt, our NEDs face personal liability for AI decisions they cannot document. What can we actually produce?"

"Your enterprise buyer sent an AI governance DDQ. The deal stalls until you can answer it. You don't have a methodology."

"Due diligence has surfaced AI systems with no governance documentation. That's a valuation risk we need quantified."

"PI renewal now includes AI governance questions. Without documentation, your coverage is at risk or your premium goes up."

"The OAIC reviewed 23 organisations in January 2026. Zero were compliant. We need documentation before December."

Built because compliance only works when it is practical enough to use and strong enough to defend.

Most organisations that face these situations reach for point compliance solutions. They start with the legislation and stop there.

Everyone else is selling compliance. We're building capability. The compliance comes with it — faster, cheaper, and grounded in evidence that holds.

"A policy document is not evidence. A committee meeting is not a control. The question is not whether governance exists. It is whether governance can be proved — on demand, at the moment of accountability."

— Sam Banerjee · Beyond Probabilistic Governance · UTS DSI · 2026

The Privacy Act and APP framework define the legal obligation and the minimum disclosure standard. Every Attesta assessment satisfies this floor as its baseline — not as its ceiling.

The MIT AI Risk Repository gives Attesta a structured way to identify categories of risk that simple legal review can overlook. 1,612 risk classifications mean the assessment goes beyond what the legislation names.

200 annotated incidents · 127 confirmed harms · 94% post-deployment. CSET incident research brings consequence, patterns and practical risk framing. This is how governments think about AI risk — not how law firms do.

The AI Incident Database anchors governance decisions in documented real-world failures, not abstract compliance language. When Attesta identifies a risk, it is a risk that has already materialised somewhere.