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”.)
5 AI Governance Trends Heading into 2026
AI has moved from experimental pilots to systems that shape real-world decisions, customer interactions, and mission outcomes. Organizations across sectors, including financial services, healthcare, insurance, retail, and the public sector, now depend on AI to run core operations and deliver better experiences. And their enthusiasm to adopt the technology responsibly is also growing.
Healthcare Regulation of AI: A Comprehensive Overview
AI in healthcare isn’t starting from a regulatory vacuum. It’s starting from an environment that already treats digital tools as safety‑critical: medical device rules, clinical trial regulations, GxP controls, HIPAA and GDPR, and payer oversight all assume that failing systems can directly harm patients or distort evidence. That makes healthcare one of the few sectors where AI is being plugged into dense, pre‑existing regulatory schemas rather than waiting for AI‑specific laws to catch up.
Trustible Recognized in the 2025 Gartner® Market Guide for AI Governance Platforms
Trustible, a leading AI governance platform provider, is pleased to be listed as a Representative Vendor in the 2025 Gartner Market Guide for AI Governance Platforms. We believe this is a milestone that signals the start of an inflection point, when AI governance is no longer optional, experimental, or theoretical; it’s now a business imperative […]
AI Governance Best Practices for Healthcare Systems and Pharmaceutical Companies
In the rapidly evolving landscape of healthcare, AI promises to revolutionize patient care, but it also brings significant risks. From algorithmic bias to data privacy breaches, the stakes are high. Effective AI governance is essential to harness the benefits of these technologies while safeguarding patient safety and ensuring compliance with regulations. This article delves into the critical challenges healthcare systems and pharmaceutical companies face, offering practical solutions and best practices for implementing trustworthy AI. Discover how to navigate the complexities of AI in healthcare and protect your organization from potential pitfalls.