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 for enterprises looking to realize the promise of AI.
The Category is Now Validated – But Execution Is Falling Behind
We see an encouraging opportunity as the market legitimizes and coalesces around a clearer scope of what AI governance is supposed to be. But across the market, organizations still struggle with how to actually do AI governance. Trustible’s global AI maturity assessment of more than 180 organizations found that only 21 percent of governance leaders report having the resources, tools and expertise to deliver on their AI goals.
The gap between intent and execution is widening. Policies are drafted, but not operationalized. Inventories are created, but are growing outdated. Governance remains conceptual and siloed when what teams need is enablement and support.
The Risks Are Growing And Are Slowing Down Innovation
AI adoption is accelerating, but the ability to govern it adequately is not. New agentic AI workflows, shadow AI, complex vendor ecosystems, and emerging threat vectors create a level of operational risk that legal, risk, and compliance teams were not designed – and are today under-equipped – to manage.
The governance challenge ahead is not only larger, it is different from even a year ago. AI now proliferates across enterprises at a speed and scale that legal, risk and compliance teams struggle to catch up with, and many organizations lack the basic tools to understand where, how and why AI is in use.
Regulators and auditors expect demonstrable controls and continuous oversight. Even without clear regulation, businesses must govern AI to mitigate brand, reputational and physical risks when systems fail, and to address growing skepticism from privacy-conscious customers and partners. Demonstrating responsible practices and articulating the value of AI are therefore business imperatives that can become a competitive advantage. Increasingly, the inability to govern AI is becoming the inability to innovate with AI.
Trustible Is Shaping What Comes Next in AI Governance
As the category clarifies, organizations are demanding solutions that:
- Centralize AI inventories
- Standardize risk assessments and approvals
- Integrate with the existing risk stack
- Support continuous governance
This is exactly where Trustible has been delivering for customers – and we’re just getting started.
Legal, compliance, risk, data, and product need a single place to coordinate governance without repeated handoffs or lost tribal knowledge. Trustible is built for that cross-functional alignment. We provide governance framewors and integrated human expertise, business-friendly workflows for approvals and attestations, expert review that reduces manual work, and standardized documentation that makes audit conversations straightforward. These capabilities help teams move from policy drafts to repeatable governance practice and keep stakeholders accountable as programs scale.
Governance only works when operationalized. Trustible offers a centralized AI inventory that records use cases, models, vendors, agents, data sources and ownership, creating the auditable system of record teams need. Integrations across the risk stack allow observability and risk signals to feed into the platform and produce audit-ready artifacts.
This combination of inventory, mitigation and interoperability is exactly what buyers must have to move governance beyond periodic reviews into continuous, production-aware oversight. With Trustible, governance stops being a blocker and becomes an enabler for safe, scalable AI innovation.
What Comes Next
AI is moving into an agentic era, and governance must follow. We’re focused in the months ahead on where and how AI governance gets done and what agentic AI governance should look like in production. In Q1 we will ship enhancements that deepen interoperability and add capabilities to orchestrate policies and controls for agent workflows while improving how governance teams work across systems.
A Practical Next Step
If your organization is figuring out how to operationalize AI governance, start with a measurement and a plan. Take Trustible’s five-minute AI Governance Maturity Assessment at riskassess.trustible.ai to understand your baseline, identify gaps, and prioritize the steps that will take your program from crawl to run.
Together, let’s shift from talking about governance to getting governance done.
Gartner, Market Guide for AI Governance Platforms, 4 November 2025. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
