Prism Layer

Risk assessments exist to drive decisions. Prism Layer runs the assessment while the call is still open, so the tradeoff is priced and the record is defensible.

One governed-assessment engine, tailored to your risk use case. Enterprise risk, financial crime (AML), and information security (CISO), on one architecture.

The company ensures data posture, privacy, governance, and record integrity, training models only on a user’s own data and reserving human judgment for key decisions.

Simone Garreau proposes the AI Decision Framework: govern what AI may decide, at what autonomy, under whose oversight, and design equity in from the start.

The Prism Layer team shares papers, press releases, and published articles, beginning with a pinned paper on their approach to governed risk assessment.

Fintech and AI growth leader Liam Kenneally, formerly of Stratyfy, joins the former Block executives building the first AI-native platform for enterprise risk management.

Prism Layer closes its pre-seed round, backed by Fenway Summer, Plural Ventures, and a syndicate of angels across technology and regulatory leadership.

Chandra Bradley, Co-founder and COO at Prism Layer.

Daniel Nolan, Co-founder and Chief Product Officer at Prism Layer.

Liam Kenneally, Founding CRO at Prism Layer.

Simone Garreau, Co-founder and CEO at Prism Layer.

The page introduces the Prism Layer team, including founders, advisors, and investors with expertise in enterprise risk, AI/ML, and scalable products.

Prism Layer demonstrates how it scopes a risk question, assembles evidence, and produces a reviewed assessment in 30 minutes.

Questions, press, partnerships, or anything else. Write to the Prism Layer founding team and hear back within one business day.

Governed AI for enterprise risk management. Prism Layer turns periodic, manual assessment into a live decision workflow, with every conclusion linked to evidence and review.

The page explains Prism Layer’s data collection, usage, and protection policies.