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Federal & Policy Briefings

Briefings for Policymakers, Regulators,
and Institutional Stakeholders

GRACE is actively engaging with federal and regulatory audiences on AI governance in financial services. If you are working on AI policy, financial regulation, or the intersection of cybersecurity and financial infrastructure — this was built for you.

Working on the Same Problem

The questions policymakers are wrestling with are the questions GRACE was built to answer.

How do you govern agentic AI in regulated industries? How do you extend existing model risk frameworks to cover autonomous systems? How do you build enforcement architecture that keeps pace with AI capability without creating new burdens that slow legitimate innovation?

These are not abstract policy questions. They are the operational problems that regulated financial institutions face right now, without a defined evidence standard for how to demonstrate compliance.

GRACE is the practical answer. We offer structured briefings tailored to your committee’s jurisdiction or agency’s mandate, conducted by the practitioners who built the enforcement infrastructure.

What a Briefing Covers

The regulatory gap that agentic AI created in financial services and why existing guidance does not address it

How GRACE’s enforcement architecture operates within current regulatory frameworks — without waiting for new rules

The technical standards GRACE is aligned to: NIST AI RMF, FIPS 204 post-quantum signing, and the NIST AI Agent Standards Initiative

Practical deployment scenarios for institutions operating under OCC, Federal Reserve, FDIC, SEC, and CFPB oversight

Format & Duration

30–45 minutes. In person in Washington, D.C. or via secure video conference.

Written Materials

Available upon request.

Policy Brief

A one-page summary of the governance gap and GRACE’s approach, written for a policy audience. Suitable for sharing with principals, committee staff, or agency leadership ahead of a briefing.

Technical Architecture Overview

A practitioner-level overview of GRACE’s enforcement kernel, SHADOW state architecture, Policy Action Packet structure, and FIPS 204 cryptographic signing implementation. Written for staff with engineering or AI backgrounds.

Regulatory Gap Analysis

Documentation of the specific gap between existing model risk management guidance (SR 11-7, SR 26-2) and the governance requirements of agentic AI systems — including the Footnote 3 analysis and how GRACE addresses it operationally.

Schedule a Briefing

Get in touch.

Tell us about your focus area and we will follow up within one business day to confirm format, timing, and materials.

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The Policy & Regulatory Landscape page covers the governance gap, the legislative context, and where GRACE fits.