AI governance
AI governance software that outruns AI risks
BetterCloud’s AI Governance platform delivers comprehensive SaaS AI governance for Enterprise AI, giving technology and business leaders real-time visibility, Shadow AI governance, AI cost governance, and policy enforcement across every leading AI tool, agent, and feature touching your SaaS and AI environment.
SaaS & AI adoption statistics
average SaaS apps per organization
SaaS apps are AI-powered
of apps are IT-sanctioned
*Source: BetterCloud State of SaaS 2026 report
Visibility. Context. Control.
Close the AI oversight gap.
AI adoption moves quickly. Bring discovery, policy enforcement, and spend visibility together so governance can keep pace.
Discover shadow AI
See the AI your teams actually use.
Uncover AI tools and embedded features across your SaaS environment. Connect usage to the people and teams behind it.
- Uncover unapproved AI usage: Detect Shadow AI across major providers—including OpenAI, Anthropic, Cursor, Gemini Enterprise, GitHub Copilot, and AWS Bedrock.
- Get complete inventory: See active projects, API keys, AI assistants, models, chat agents, AI agents and licensed seats broken down by application, department, and employee.
- Catch unapproved tools instantly: Browser-level detection identifies AI adoption as it happens, catching tools your SaaS admin consoles miss.
- Dedicated Gemini Enterprise visibility: Gain clear views into connected data stores, AI assistants, and admin authorization tools.
Enforce AI policy
Put policy to work inside your apps.
Connect governance decisions to application controls. Manage supported permissions and access settings from a central platform.
- Act through direct APIs: Restrict permissions, configure access, and protect sensitive data directly through application admin APIs from one central dashboard.
- Set consistent rules: Enforce policy uniformly.
- Automate instant guardrails: Automatically revoke risky or stale OAuth tokens, restrict unverified integrations, and remediate overly permissive file-sharing links.
- Unify SaaS and AI governance: Manage your entire software and AI footprint using familiar, dependable workflows.
AI spend governance
Understand where your AI budget goes.
Bring license and consumption data into focus so IT and finance can understand AI costs and identify waste.
- Finance-grade spend views: See AI cost broken down the way finance actually needs it—by user, by model, by provider—not buried in a platform invoice you have to reverse-engineer.
- Track user-level consumption: Maintain complete AI spend governance. Monitor individual requests, token volume, and overall costs across 30-day and 90-day windows.
- Understand model-level expenses: Break down costs across input, output, and cached tokens to give finance teams clear attribution.
- Eliminate waste: Spot duplicate subscriptions and underused AI seats the same way you manage traditional SaaS licenses.
AI agent governance
Extend oversight beyond human users
Bring supported AI agents and non-human identities into your governance process, alongside the people and applications you already manage.
- Streamline AIOps and AgentOps: Simplify how you run AI-assisted IT (AIOps) and manage autonomous agents (AgentOps). You can deploy smart automation to run IT tasks while keeping tight guardrails on what your autonomous agents can access and do.
- Gain visibility and control over emerging risks: Extend discovery and automated policy enforcement to non-human identities interacting with your business systems.
- Unify operations and reduce governance overhead: Use one platform for both SaaS user management and AI governance, reducing disconnected processes across the stack.
Your AI ecosystem
Bring your AI tools into the picture.
OpenAI
Anthropic
Gemini Enterprise
Cursor
GitHub Copilot
AWS Bedrock
Why BetterCloud
Govern AI where work happens.
Connect AI oversight to the SaaS apps, AI providers, identities, and workflows your business depends on.
Understand the tools in use, the people behind them, and the entities connected to your environment.
Use supported application controls to turn governance decisions into real-time operational changes.
Bring access, spend, and AI oversight together within your SaaS management platform.
Find your starting point
Explore your use case.
Explore further
Inform your AI governance approach.
A step-by-step AI governance framework for CIOs, CTOs, and CISOs. Learn the seven components, a 90-day rollout plan, and how to govern shadow AI across your SaaS stack.
Govern AI and boost AI operational readiness. This guide covers managing Shadow AI, AI SaaS spend management, and governing AI in the workplace at scale.
Shadow AI agents let employees automate workflows without IT's knowledge. Learn how they differ from shadow SaaS and how security leaders can regain control.
Your questions, answered
AI governance FAQs
AI governance software gives enterprise IT, security, and finance teams centralized visibility and control over how artificial intelligence is used across their organization. It tracks active tools, discovers shadow AI, monitors consumption and costs, and enforces access policies. Rather than blocking adoption, it helps technology and business leaders support productivity while protecting company data and budgets.