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Added on Aug 12,2026
Sentrely is a managed control plane for AI agents that helps organizations enforce policies, monitor activity, and maintain human oversight.
Every agent action can pass through a centralized layer for logging, compliance checks, and approval workflows, giving teams greater control over how AI agents interact with systems and data.
The platform supports AI agent operations across the development and deployment lifecycle, including code review, CI/CD, testing, deployment, monitoring, incident response, security scanning, and compliance.
Organizations can connect agents through API keys or OAuth and define granular permissions using YAML for AWS actions, Git repositories, and other tools.
Sentrely provides a comprehensive audit trail while enabling controlled, policy-driven agent operation.
Use Cases
AI Agent Governance: Manage and control how AI agents operate across an organization.
Policy Enforcement: Apply rules and permissions to agent actions.
Human Approvals: Require human authorization for sensitive agent operations.
Audit Trails: Record agent activity for visibility, accountability, and compliance.
Access Control: Define which AWS actions, repositories, and tools each agent can access.
Code Review: Monitor and control AI agents performing code review tasks.
CI/CD: Govern AI-driven continuous integration and deployment workflows.
Testing: Manage agent access to testing environments and processes.
Deployment Control: Add policies and approval workflows to AI-powered deployments.
Security Scanning: Control agents performing security and compliance scans.
Incident Response: Monitor and govern AI agents during incident management.
Compliance: Maintain oversight of AI agent activity for regulatory and internal requirements.
Agent Integrations: Connect AI clients and agents through API keys or OAuth.
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