AI Is Rewriting the Rules of Third-Party Risk
Vendor AI risk is a fast-growing blind spot in the enterprise AI portfolio. 70% of organizations are still building out how they evaluate it, even as 80% of enterprise software vendors are embedding AI into products already running across the business. The challenge is that AI vendors behave differently from what most evaluation processes were […]
Introducing Trustible’s Model Risk Assessment: A Structured Way to Evaluate Third-Party AI Models
Models are the heart of an AI system and the source of many risks. With many developers now choosing to use external models instead of building them from scratch, it is important to be able to choose a model that both performs well and provides a clear understanding of potential risks. This can be challenging […]
Agentic AI vs. AI Agents: What Governance Teams Need to Know
Agentic AI and AI agents are not the same thing. The terms get used interchangeably, but they describe meaningfully different levels of autonomy, and from a governance standpoint, that difference is crucial. Agentic AI is human-triggered: a person initiates the task, the AI decides how to execute it, and a human reviews the result. AI […]
Colorado’s AI Act: Everything you need to know about SB 26-189
On May 17, 2024, Colorado Governor Jared Polis signed the Consumer Protection for Artificial Intelligence (SB 205) into law, the first comprehensive state AI law that imposes rules for certain high risk AI systems. The law requires that AI used to support ‘consequential decisions’ for certain use cases should be treated as ‘high risk’ and will be subject to a range of risk management and reporting requirements. The new rules will come into effect on February 1, 2026.
AI Governance Needs to Catch Up to AI: Reflections from CHAI Leadership Summit 2026
At the Coalition for Health AI’s (CHAI) Leadership Summit in Dana Point, California, Trustible CEO Gerald Kierce led a working workshop alongside Melissa Fitzgerald (Chief Privacy Officer at Mass General Brigham), Shawn Stapleton, PhD (Director and Head of AI Lifecycle Management at UT MD Anderson), and a representative from a large managed care provider. The […]
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 […]
16 Types of AI Governance Platforms, Explained
A buyer’s guide to what “AI governance” actually means across different tools, and what to look for when it matters.
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 […]