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AI Governance

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

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.

Blog, Insights

Understanding AI Stakeholders with Trustible’s AI Stakeholder Taxonomy

October 16, 2024 trustible

Trustible developed an AI Stakeholder Taxonomy that can help organizations easily identify stakeholders as part of the impact assessment process for their high-risk use cases

Blog, Insights

AI Policy Series 3: Drafting Your Public AI Principles Policy

July 5, 2024 trustible

In our final blog post of this AI Policy series (see Comprehensive AI Policy and AI Use Policy guidance posts here), we want to explore what organizations should make available to the public about their use of AI. According to recent research by Pew, 52 percent of Americans feel more concerned than excited by AI. This data demonstrates that, while organizations may understand or realize the value of AI, their users and customers may harbor some skepticism. Policymakers and large AI companies have sought to address public concerns, albeit in their own ways.

Blog

AI Policy Series 1: Drafting Your Comprehensive AI Policy

June 20, 2024 [email protected]

As organizations increase their adoption of AI, governance leaders are looking to put in place policies that ensure their AI deployment aligns with their organization’s principles, complies with regulatory standards, and mitigates potential risks. But where to start in developing your policies can oftentimes be overwhelming.  Let’s start with some important context. AI Policies break […]

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