AI governance platforms: what to look for and the leading options
Blog post from Merge
AI governance platforms are crucial for companies as they integrate AI tools with internal systems, providing control over access, preventing data leaks, and maintaining an audit trail. These platforms enable secure AI adoption by provisioning access, monitoring AI activity, preventing data exposure, and collecting evidence for audits. SCIM-based access controls allow for automatic updates of AI tool access based on employee roles, while Data Loss Prevention (DLP) and observability layers ensure sensitive data is protected. Effective AI governance platforms offer flexible implementation, allowing companies to adapt quickly to new AI tools and maintain consistent policy enforcement. Vendor support is vital due to the complexity of implementation, involving mapping identity attributes, defining DLP rules, and configuring connectors. Leading AI governance platforms, such as Merge Agent Handler for Employees, Runlayer, and MintMCP, each offer unique strengths, like broad connector coverage, strong threat detection, and centralized MCP traffic management, although they may vary in scope, ease of use, and support.
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