Aureon is the AI-native platform for banks and lenders to manage classical models and AI agents in one place. Independent validation, live monitoring, and a SAFR-aligned control panel over agentic systems.
Manage the full lifecycle of every model your bank runs — credit scorecards, IFRS 9 / Ind AS 109, rating, ML. Independent validation, monitoring, evidence, and reporting.
The control layer over your AI use cases. Evals and red-teaming before you ship. Live monitoring, kill switches, human-in-the-loop and SAFR dispositions once you do.
Same primitives, different actions. Global. Horizontal within finance.
Fragmented inventories. No single source of truth. Audit trails reconstructed after the fact.
LLM assistants, AML triage agents, customer copilots — often live in production without MRM coverage.
RBI MRM 2026 codifies kill switches, independent validation, three lines of defence. A quarterly review cycle can't keep pace.
Three moments from Aureon in production. Live in a demo — walk-through in 30 minutes.
A peek at what Aureon does. Eight use-case pages under the Use Cases menu.
Independent validation with AI-drafted findings and reports.
Learn moreDrift, decay and breach alerts. Continuous — not periodic.
Learn moreHallucination, prompt-injection, jailbreak — before you ship.
Learn moreKill switch, human-in-the-loop, SAFR dispositions on every action.
Learn moreFour architectural choices that make Aureon different from GRC platforms, AI observability tools and legacy MRM vendors. Explored in full on the Why Aureon page.
The industry reference framework for governing agentic AI at runtime. Four components, four dispositions, and how Aureon Runtime implements it.
A practitioner read of the draft — 11 RE categories, kill switches, three lines of defence, 10-year inventory retention.
Model risk has always had two sides — technical and usage. With AI, both got harder. And the usage side got dangerous.
Two ways to start. No sales-cycle overhead. On your premises or in your VPC.