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Platform overviewOne platform between every agent and everything it touchesArchitectureOne gateway between workforce and systemsWatch it liveThe portal governing, in real time
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DiscoverEvery agent found, every agent ownedGovernPer-action verdicts in under 30msShieldAgenShield on the device, BrowserShield in the browser · EA
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Identity foundationAnchored to the IdP you already runExternal MCPCustomer and partner agents on the same policy plane
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Confident AI adoptionSay yes to AI, without losing controlAccountability & auditA human answers for every agentAutonomous operationsGovernance that runs itselfRisk preventionStop the breach before the first action lands
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Secure enterprise copilotsCopilot, Cursor, Claude Code, governed per actionGovern autonomous agentsAutonomy on the work, humans on the triggerStop AI data leaksBrowserShield stops the paste, early accessApprove agents in hoursOnboarding as a policy decisionMCP governanceInternal and external, one planeContinuous audit evidenceThe binder writes itself
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Identity-native agentic governance.
Scale AI agents. Keep a human accountable for every one.
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Learning Center

Deep dives on AI agent governance, MCP security, compliance, and enterprise agentic architecture.

FeaturedShadow AI

Shadow AI: What It Is, Why It's Risky, and How to Govern It

Shadow AI is the unsanctioned use of AI tools, agents, and MCP servers inside your org. Learn the real risks, examples, and how to detect and govern it.

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Read guide
AllAgentic AI DevelopmentAgentic CodingAI Agent GovernanceAI Agent Identity & AccessAI Agent SecurityAI Compliance & AuditMCPShadow AI

Topics

AllAgentic AI DevelopmentAgentic CodingAI Agent GovernanceAI Agent Identity & AccessAI Agent SecurityAI Compliance & AuditMCPShadow AI
Shadow AI

AI Risk Management: The Complete Guide for the Enterprise

AI risk management is how enterprises identify, assess, and control AI and agent risk. Compare NIST AI RMF and ISO 42001 and build a program that scales.

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Shadow AI

What Is MCP Data Exfiltration? Attack Vectors and How to Prevent It

MCP data exfiltration is how AI agents leak data through connected tools. Learn the attack vectors, detection signals, and identity-first controls that stop it.

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