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We recognize AI governance can be overwhelming - we’re here to help. Contact us today to discuss how we can help you solve your challenges and Get AI Governance Done.

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Blog, Insights, Research

FAccT Finding: AI Takeaways from ACM FAccT 2025

July 15, 2025 trustible

Anastassia Kornilova is the Director of Machine Learning at Trustible. Anastassia translates research into actionable insights and uses AI to accelerate compliance with regulations. Her notable projects have involved creating the Trustible Model Ratings and AI Policy Analyzer. Previously, she has worked at Snorkel AI developing large-scale machine learning systems, and at FiscalNote developing NLP […]

Blog

Navigating The AI Regulatory Minefield: State And Local Themes From Recent Legislation

July 12, 2025 trustible

This article was originally published on Forbes. Click here for the original version. The complex regulatory landscape for artificial intelligence (AI) has become a pressing challenge for businesses. Governments are approaching AI through the same piecemeal lens as other emerging technologies such as autonomous vehicles, ride-sharing, and even data privacy. In the absence of a […]

Blog

Trustible Becomes Official Implementation Partner for the Databricks AI Governance Framework (DAGF)

July 8, 2025 trustible

Despite the explosive growth of AI, most enterprises remain unprepared to manage the very real risks that come with its adoption. While the opportunities are vast—from smarter products to more efficient operations—the path to realizing AI’s full potential is fraught with challenges around performance, cybersecurity, privacy, ethics, and legal compliance. Without a strong AI governance […]

Blog, Insights

Trustible’s Perspective: The AI Moratorium would have been bad for AI adoption

July 2, 2025 trustible

In the early hours of July 1, 2025, the Senate overwhelmingly voted to strip the proposed federal moratorium on state and local AI laws from the Republican’s reconciliation bill. The moratorium went through several re-writes in an attempt to salvage it, though ultimately 99 Senators supported removing it from the final legislative package.  While the political […]

Corporate News

New Capital, Bigger Impact, Same Mission: Announcing Trustible’s $4.6M Series Seed Round

June 10, 2025 trustible

Today, I’m excited to announce that Trustible has raised $4.6 million in Series Seed financing led by Lookout Ventures, with participation from the Office of Eric Schmidt, Tau Ventures, Inner Loop Capital, Alumni Ventures, FoundersX, former Deloitte CIO Larry Quinlan, former Relativity CEO Mike Gamson, and former Washington DC Mayor Adrian Fenty, alongside existing investors Harlem […]

Corporate News

Trustible Releases Updates and Improvements to Model Transparency Ratings

April 8, 2025 trustible

Updates include new models from OpenAI, Meta, Google, Anthropic, DeepSeek, and more; additional data evaluations; new regulatory and policy analysis; and more.  Generative AI models are transforming industries, driving innovation, and reshaping how organizations operate. Despite their wide-scale adoption, these models introduce risks to organizations given the limited transparency into their data, training, and operations. […]

Insights, Whitepaper

AI Governance Triggers: When to Act and Why It Matters

March 25, 2025 trustible

The rapid evolution of artificial intelligence—with continuous advancements in models, policies, and regulations—presents a growing challenge for AI governance teams. Organizations often struggle to determine when governance intervention is necessary in order to balance risk oversight without imposing excessive compliance burdens. This eBook introduces the concept of “AI Governance Triggers” to provide clarity on the specific AI model events that should prompt governance activities.

Blog, Insights

Understanding the Data in AI

February 11, 2025 trustible

Data governance is a key component of responsible AI governance, and it features prominently in every emerging AI regulations and standards. However, “data” is not a monolithic concept within AI systems. From the massive datasets collected for training large language models (LLMs), to user feedback loops that refine and improve outputs, multiple “data streams” flow through any modern AI application.

Blog

Navigating AI Vendor Risk: 10 Questions for your Vendor Due Diligence Process

January 2, 2025 trustible

AI is everywhere, but the race to add AI from vendors has embedded unknown risks into your supply chain. Knowing what type of AI your suppliers use is difficult enough, let alone knowing how to ensure your due diligence adequately addresses the unique risks it may pose. Yet, customers and regulators are increasingly probing into […]

Blog, Insights

What is AI Monitoring?

November 12, 2024 trustible

When many technical personas hear the term monitoring, they often think of internal monitoring of the AI system.

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