Best AI Governance Tools in 2026: What Each One Governs, and How to Govern AI Agents That Take Actions

TL;DR

The best AI governance tools in 2026 are Sentra, Credo AI, OneTrust, Holistic AI, IBM watsonx.governance and Microsoft Entra Agent ID, and they govern different things. Credo AI, OneTrust, Holistic AI and watsonx.governance are governance programs: an inventory of AI systems and agents, risk assessments and controls mapped to the EU AI Act, NIST AI RMF and ISO/IEC 42001. Microsoft Entra Agent ID gives each agent its own identity. Sentra governs the two places where agents actually create risk at runtime: what company data an agent can see, checked against each source system's permissions on every call, and what it can do, with a named person approving consequential actions. A company deploying agents usually needs one program tool and runtime controls like Sentra's, not one or the other.

What AI governance tools actually govern

Buyers searching for AI governance tools are often asking three different questions at once. Sorting the market by which question a tool answers gives a shorter shortlist.

• Program governance. Which AI systems and agents do we run, who owns each, what risk does each carry and which framework controls apply. This is where Credo AI, OneTrust, Holistic AI and watsonx.governance sit.
• Identity. Which agent did what, under whose authority. Microsoft Entra Agent ID gives agents identities distinct from people and applications.
• Runtime data and action controls. What an agent can read while it works and what it may do without a person signing off. Sentra enforces both for the company context agents use.

The best AI governance tools compared

The tools, one by one

1. Sentra

Sentra is the company brain for teams and their AI agents, and governance is built into how it serves context. Each fact inherits the permissions of the system it came from, such as the Slack channel, Drive file, Jira issue or meeting, checked when someone asks rather than when the data was loaded. For Slack, Linear, GitHub, Google Chat and Jira, access is checked against the source system itself, and any error counts as no access. An agent acting for a person gets exactly that person's access, and tools it is not entitled to are hidden from it. Raw email bodies need a separate permission that no built-in role includes. See how Sentra enforces permissions on every fact.

On the action side, Sentra's agent pauses for approval before it sends email, posts or messages in Slack, books calendar events or writes to Salesforce, Notion or Google Docs, unless the person has already allowed that action. Its proactive checks are read-only. Changes to access roles are kept in an append-only audit trail, and external memory queries and agent runs are logged. Sentra is SOC 2 Type II and ISO 27001 certified and deploys in the cloud, in an isolated VPC or air-gapped on premises.

2. Credo AI

Credo AI says it "created the AI governance category, and is defining it for the agentic era." It offers an agent registry with agent cards, an agentic risk and control library covering "tool misuse, scope drift, and inter-agent risk", continuous monitoring with drift detection, and policy-to-code translation, mapped to the EU AI Act, NIST AI RMF and ISO 42001.

3. OneTrust

OneTrust aims to "turn AI policy into controls that work across homegrown and third-party AI", bringing "AI systems, agents, models, datasets, vendors, and projects into one governance program center", with EU AI Act, NIST AI RMF and ISO 42001 templates and the ability to "govern agents with defined purpose, permissions, and allowed actions."

4. Holistic AI

Holistic AI calls itself "the enterprise AI governance platform." Its pitch is "Discover shadow AI. Build a living AI inventory", finding "every model, agent and AI application across cloud, code and SaaS." Its Guardian Agents are "a supervisory layer for agentic AI that observes every action, evaluates it against your policies."

5. IBM watsonx.governance

watsonx.governance aims to "govern any AI, anywhere with real-time visibility, enterprise controls, and continuous accountability", with a regulatory content library that names the EU AI Act, NIST and ISO 42001.

6. Microsoft Entra Agent ID

Microsoft Entra Agent ID gives AI agents identity accounts in Entra ID, separate from people and applications. Agents can act autonomously with their own access rights or on behalf of a user with delegated rights, and every agent built in Copilot Studio gets an identity with its creator recorded as sponsor. Extending Entra security features to agents requires a Microsoft Agent 365 licence.

How do we govern AI agents that can take actions in our systems?

1. Give every agent an owner and an identity. Record who sponsors it, what it is for and which systems it touches. An agent nobody owns is the agent equivalent of shadow AI.

2. Make agents inherit the access of the person they act for. Not a shared service account with broad read rights. Check access per item at query time, and fail closed when the check cannot be made. Our guide to AI agent permissions covers the layers in detail.

3. Separate reading from writing. Let agents find and summarise freely within their access, and put consequential actions, such as emailing a customer, posting to a channel or changing a CRM record, behind a named person's approval.

4. Log what agents read and did. Keep a record of agent runs, external queries and permission changes, and review it on a schedule.

5. Map it to a framework once. NIST AI RMF 1.0, released on 26 January 2023, is voluntary and organised around four functions: Govern, Map, Measure and Manage (nist.gov). Its Generative AI Profile, NIST AI 600-1, followed on 26 July 2024. ISO/IEC 42001 is the certifiable management system standard (iso.org). Our AI governance framework maps each control to both.

How should a company make sure AI only shows employees data they are allowed to see?

Enforce permissions on each piece of content at the moment someone asks, using the source system's own rules, and deny when the check fails. Indexing everything into one store with a single permission model is where leaks start, because a private HR channel and a public all-hands end up side by side. In Sentra, a fact that someone may not see is simply absent, with no hint that it exists, and the same rule applies to every agent calling over MCP or the API.

AI governance best practices for companies deploying AI agents

• Keep an inventory of agents with owners, purpose and systems touched, and review it quarterly.
• Write an acceptable use policy that covers agents, not only chat tools. Our AI policy template has a section for agents.
• Offer an approved tool that is good enough that people stop using unapproved ones. See shadow AI.
• Require approval for any agent action that leaves the company or changes a system of record.
• Test agents on your own data before rollout and repeat the test after model changes.

Sentra's Team plan for 2 to 20 users is free on the current launch special (normally $16 per user per month). To see permission-enforced company memory for your agents, book a demo.

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