AI Governance for Nonprofits: A Practical Guide to Oversight and Trust
AI tools are spreading across nonprofit operations fast. 92% of nonprofits have adopted AI, from fundraising and donor analytics to program delivery and grant writing. Most don’t have a governance program keeping pace. This piece is for operations and compliance leads who have moved past “should we use AI” and into “how do we govern […]
What Is AI Governance? A Guide for Enterprise Teams
AI governance is the set of policies, procedures, and operational controls that ensure AI systems are safe, transparent, accountable, and compliant with applicable regulations. For enterprise teams, it’s not an abstract principle. It’s the infrastructure that determines whether AI can be deployed at scale or stays stuck in pilot purgatory. But before an organization can […]
How Nuix Made AI Governance Operational Reality
Trustible transformed AI governance for us into an operational reality. It’s evidence based and it’s just made life so much eaiser.” – Ilona Meyer, General Counsel & Company Security, Nuix. Nuix builds software that helps some of the world’s most regulated organizations (financial institutions, law firms, and government agencies) make sense of massive data volumes […]
AI Monitoring After Deployment: What NIST 800-4 Reveals About Where Most Governance Programs Fall Short
TL;DR: In March 2026, NIST published the first major government framework for post-deployment AI monitoring. It identifies six monitoring categories, two orientations, and a core problem most organizations haven’t solved: monitoring generates signals, but only if the program is watching broadly enough to catch the ones that matter. Download our AI Monitoring Guide for more […]
How Leidos Made AI Governance the Foundation for AI Innovation
Trustible turbocharged our use case throughput, unlocking greater speed in our AI deployment across the organization.” – Geoff Schaefer, VP of AI Strategy and Governance, Leidos. Leidos builds and deploys AI systems that operate in some of the most regulated, mission‑critical environments in the world. As its AI portfolio expanded across defense, intelligence, civil, and […]
What AI Governance Looks Like After Year One
A recap of the panel Trustible led at the IAPP Global Privacy Summit in Washington, D.C.
A Pragmatic Blueprint for AI Regulation
An AI startup’s proposal for fair, pro-growth, pro-AI, non-partisan, AI regulation AI is one of the most transformative technologies of the century, with the potential to accelerate scientific research, improve healthcare outcomes, and help small businesses compete with larger enterprises. The United States currently leads the world in AI development. Yet despite this leadership, a […]
Everything You Need to Know About New York’s RAISE Act
New York became the second state last year to enact a frontier model disclosure law when Governor Kathy Hochul signed the Responsible AI Safety and Education (RAISE) Act. The new law requires frontier model providers to disclose certain safety processes for their models and report certain safety incidents to state regulators, with many similarities to California’s slate of AI laws passed last fall. The RAISE Act will take effect on January 1, 2027. This article covers who must comply with the RAISE Act, what transparency obligations the law creates, and how the law will be enforced.
Everything You Need to Know About the Executive Order on a National AI Policy Framework (2025)
On December 11, 2025, President Trump signed an Executive Order directing the federal government to build a “minimally burdensome” national framework for AI and to push back against state AI laws the Administration views as harmful to innovation. The EO takes a new, novel approach via Executive Branch authority, creating an AI Litigation Task Force and asking the U.S. Department of Commerce to evaluate state AI laws and identify “onerous” laws (explicitly citing laws that require models to “alter their truthful outputs”.)