Research & announcements

For years the industry pulled three levers: more parameters, more data, more test-time compute. Memory stayed entangled in the weights. DeepSeek’s Engram pulls a fourth lever — explicit, conditional memory — and the early numbers suggest it was underexplored for no good reason. The deeper signal is architectural: the monolith is unbundling.

A reasoning strategy is not a topology and not a prompt — it is the shape of thought itself, and it can be engineered. This series walks through the IRG strategy inventory a few strategies at a time, starting with the epistemic family: abduction, deduction, and induction as executable, gated graph shapes.

GRC platforms govern policy, not outcomes. They can tell you an AI system exists, that it was approved, and what it produced — after it produced it. If you want to actively manage what AI models output, governance has to operate inside the reasoning process, not around it. That is the line between passive and active governance.

On April 17, 2026, the banking agencies superseded SR 11-7 with SR 26-2, moving model risk management from a prescriptive checklist to a risk-based posture. We absorbed the change by re-pointing a citation pack, not rebuilding an engine — and the SR 26-2 Model Risk Management Graph Suite is now available as an enterprise offering.

Accuracy benchmarks ask whether the system was right. That is the wrong question for production. The right question is whether the system behaved well given what it actually knew—and that is what epistemic integrity measures.

AI has already proven it can write, analyze, and classify. What it has not proven, in the institutional sense, is that its reasoning can be trusted for the decisions a regulated business is actually built on. The blocker is not capability. It is accountability.