Standard RAG retrieves documents and lets the LLM generate field names freely — which means it will invent fields your schema never had. AK-RAG (Attribute Knowledge RAG) indexes your governed attribute catalog instead, and the LLM can only emit attribute_ids that actually exist. Here's the architecture and why it matters for regulated-industry AI.
A Pennsylvania bank employee used an unauthorized AI tool on customer data — no hacker, no breach, no operational disruption — and the bank still filed an SEC Form 8-K. The first shadow AI disclosure is a blueprint for what your regulators are about to ask.
The CFPB eliminated disparate impact from ECOA on April 22 — but AI credit scoring teams that interpret this as clearance to drop bias testing are about to learn the hard way that fair lending risk lives in at least five other regulatory regimes they haven't fully inventoried.
ARPA-H is selecting teams this month to build the first FDA-authorized agentic clinical AI — a system that writes prescriptions, adjusts medications, and acts as a 24/7 cardiovascular care member. FDA has no published guidance for agentic AI validation, no clearance precedent, and no framework that covers autonomous clinical agents.
FinCEN's NPRM comment period just closed — and its effectiveness-based AML standard implicitly rewards AI adoption. The problem: banks rushing to deploy AI for compliance credit have no model governance framework, and OCC examiners are already asking about it in every exam.
SpaceX's $60B acquisition of Cursor ends the era of multi-model, model-neutral AI coding platforms — and every enterprise team that built agentic CI/CD workflows in Cursor just inherited a vendor lock-in risk they didn't plan for.
OpenAI replays 1.3M anonymized production conversations with candidate models before release — catching reward hacking and behavior shifts that adversarial evals miss entirely.
The FSB's 12 sound practices for responsible AI adoption include the most honest regulatory admission yet: human oversight of agentic AI in banking can't scale, so banks need AI to monitor AI.
As autonomous AI agents move from demos to production — scheduling meetings, writing code, executing trades — most enterprises have no governance framework built for systems that act, not just predict. Here's what one looks like.
Most banks have the data to personalize credit card offers at scale. Most can't actually do it in production because their ML architecture wasn't designed for real-time decisioning. Here's what the right stack looks like — and why the wrong one loses to Amazon.
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