steward-agent-governance offers citation-verified effective-access analysis for AI agent fleets. It helps with identity governance, access reviews, least-privilege enforcement, and segregation of duties for non-human identities and AI agents. Useful for security and compliance teams managing large numbers of autonomous AI agents.
steward-agent-governance sits in PulseGate's LLM eval & observability category. It focuses on analyzing and governing effective access and permissions for fleets of AI agents with citation verification. It is built as an open-source project for developers. steward-agent-governance is open source under the MIT license. steward-agent-governance is available on the command line.
steward-agent-governance first shipped in 2026. Development happens publicly on GitHub with 48 commits in the last 90 days. Key capabilities include Access Analysis, Least Privilege, and Identity Governance. It exposes integrations via an MCP server.
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steward-agent-governance verified by the PulseGate indexer
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