Governance by Design: Where Runtime Enforcement Belongs in AI Governance
“AI governance” might be the most overloaded term in enterprise software right now. It can mean low-level agent action interception and prompt filtering, it can mean mid-level model registries, evaluation harnesses, and MLOps oversight, and it can mean high-level IT intake workflows, vendor risk management, and regulatory compliance documentation. Different vendors use the same words […]
Best AI Governance Software for Enterprise Companies
The best AI governance software gives enterprises centralized oversight of every AI system in use, automated risk scoring that replaces manual judgment calls, and audit-ready compliance documentation across every applicable regulatory framework. For organizations managing simultaneous obligations under the EU AI Act, NIST AI RMF, and ISO 42001, a purpose-built platform is the only way […]
AI chatbot legislation is moving fast. Thirteen states have acted.
There is no federal law specifically governing AI chatbots, however, the states are not waiting. 13 have enacted chatbot regulations with nearly 30 states having proposed or moving forward legislation, and four thematic areas have taken shape across the board. The incidents driving this legislation are real. People, including young teenagers, have died by suicide […]
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 […]
AI Governance Features: What to Look for When Evaluating Platforms
Most organizations start their AI governance journey with spreadsheets, shared drives, and email threads. They know that doesn’t scale. This piece is for teams evaluating what comes next, and what separates a purpose-built AI governance platform from a repackaged GRC tool with an AI tab. What is AI governance? AI governance is the system of […]
AI Governance and Compliance in Insurance: What Carriers Need to Build Now
Insurance carriers are responsible for every AI-driven decision, whether the model was built internally or sourced from a vendor. Regulators are examining AI use actively. The organizations that move fastest are the ones that build governance infrastructure before they’re asked to produce it. This piece is for the compliance officer building that program now. What […]
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 […]
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 […]