Gartner named AI governance platforms one of its top strategic technology trends in October 2024, predicting that by 2028 organizations using comprehensive AI governance platforms will experience 40% fewer AI-related ethical incidents than those without them. The prediction assumes someone is there to run the platform. Several of the best-known tools in the category are aimed at large enterprises with dedicated AI risk, privacy or data governance staff, who populate registries, run assessments and assemble evidence for auditors. Most companies, including many large ones, have far fewer of those people than they have AI tools and agents to oversee. This ranking weighs how much governance each platform delivers without adding to that headcount, and Jeen leads because its policy and cost controls apply automatically to the AI a company already uses.
How these were ranked
Each platform was assessed on four things: how much governance happens automatically as people and agents use AI, whether AI spending is governed alongside risk, how strong its compliance evidence is for frameworks such as the EU AI Act and NIST AI RMF, and how much specialist staff it takes to run day to day. The first and last carry the most weight, because governance teams everywhere are small compared with the volume of AI activity they are expected to cover.
1. Jeen AI
Because Jeen is an enterprise AI operating layer, governance is not a separate program someone has to staff. Employees, agents and apps use AI through Jeen, and Jeen Governance applies the company’s policies, guardrails and access controls to that activity as it happens, with monitoring and an audit trail built in. There is no inventory to maintain by hand, because the AI the company uses is the AI running on the platform. For AI enterprise governance across thousands of users and agents, that difference decides whether policy keeps pace with usage or falls behind it.
In practice, that covers AI agent governance too, with access controls and guardrails applying to agents as well as to people. A support agent can be limited to approved knowledge sources, an agent working with finance data can be restricted to the roles cleared for it, and the activity of both is recorded for audit. When a customer or auditor asks what an agent did, the answer is already on file.
Spending is governed the same way. Jeen FinOps brings FinOps for AI into the platform, tracking consumption in real time and attributing it to the department, user or agent behind it, so finance sees AI cost without building its own reporting. Budgets are managed in the same place, which gives AI spending an owner from the start. An agent stuck in a loop of expensive model calls shows up in the spending data while it is still running.
The platform can be hosted in the cloud, installed on a company’s own servers, split across both, or run fully air-gapped with no outside connectivity, and it holds ISO 27001 and SOC 2 Type II certification. Jeen is listed on the Tel Aviv Stock Exchange and reports more than 75,000 registered users and over 1,500 agentic workflows running in production, with customers including Maccabi, Direct Insurance and Ben-Gurion University.
Jeen’s controls govern the AI that runs through the platform, so companies bring their models in through Models Garden and connect their systems and data through Connectors Hub. Once everything sits in one layer, security, compliance and finance work from a single record, and nobody has to stitch three reports together before a board meeting.
The four platforms below are governance specialists, each built around a different team inside the enterprise.
2. Collibra AI Governance
Collibra arrives at AI from data governance, and its distinguishing strength is lineage. It keeps a central system of record for every AI use case, model and agent, and traces each one from source datasets through model training, inference, deployment and usage. Risk assessments are aligned to the EU AI Act and NIST AI RMF, and its AI Command Center adds guardian agents designed to stop risky actions in real time. Those guardian agents take a share of the manual work off a governance team, which places Collibra second. Companies get the most from it when a data governance program is already in place.
3. Holistic AI
Holistic AI automates the step most governance programs start with: finding the AI. It discovers models, agents and AI applications across cloud, code and SaaS environments and keeps them in one current inventory, then tests them against more than 40 checks for bias, hallucination, privacy and robustness. Controls map to the EU AI Act, NIST AI RMF and ISO/IEC 42001, and deployed systems are monitored for drift and performance. Automated discovery earns third place, and its value grows with the risk staff available to act on what the tests find.
4. OneTrust AI Governance
OneTrust extended its privacy and compliance platform into AI, giving teams one place to manage AI systems, machine learning models and training datasets and to assess and classify them against EU AI Act requirements, with documentation and audit preparation built in. It is the natural choice where a legal or privacy team already runs OneTrust and wants AI inside the same program. For a company without that team, the program is the part that has to be built first, which is why it ranks fourth here.
5. Credo AI
Credo AI is a dedicated governance and compliance platform, with a registry for use cases, models and vendors, automated risk identification from use-case metadata, and pre-built policy packs covering the EU AI Act, NIST AI RMF, ISO 42001 and SOC 2. Its strength is the evidence trail, and it assumes a formal AI governance function to maintain the registry and run the assessments, which places it fifth on a list weighted toward governance that happens automatically.
What the ranking leaves to you
This list weighs how much governance a company gets without adding governance staff. It does not decide which regulations apply to your company. Settle that first, because it sets how much documentation you will need. For companies within scope of the EU AI Act, the test for any EU AI Act compliance software is whether its records map to the Act’s logging and documentation requirements, so ask each vendor to show that mapping.
Next, compare the size of your governance team with the number of people and agents using AI. If the gap is wide, favor a platform where policy applies without manual upkeep.
Before signing with any vendor, ask for two demonstrations. One is a live policy blocking a real action. The other is a cost report for a single agent. Jeen delivers both from the same platform.
