AI Agent Security & Governance
Discover, Secure and Govern Enterprise AI Agents
Discover, monitor, and control AI agents, MCP tools, and system action in runtime across SaaS, homegrown, embedded, endpoint, and developer environments.
Discover Agents and Map Their Access
Enforce Agent Policies at Runtime
Agent Discovery & Inventory
Automatically detect and maintain a complete inventory of AI agents across the enterprise for greater visibility and governance.
Connector Catalog
Centrally manage and organize agents, applications, tools, and integrations in one governed catalog for greater visibility and control.
Agent Map
Visualize agents, their connected tools and systems, and runtime activity in one clear, interactive map.
Agent Policy Engine
Define and enforce policies for tool access, data boundaries, spending limits, and approval thresholds to control and reduce agent risk.
MCP & Tool Governance
Control agent access to MCP servers, tools, applications, and enterprise systems with policy enforcement before actions are executed.
Agent Identity & Access Control
Broker agent identities and permissions through the MCP Gateway, allowing policy-based access only to approved tools, data, and systems.
Monitoring & Traceability
Track agent decisions, tool usage, data access, and workflows with complete audit trails.
Runtime Action Enforcement
Block, remediate, or require approval for high-risk agent actions before they create business or security impact.
Agent Defender
Provides real-time visibility and policy control over endpoint AI agents, coding assistants, and applications before they access data, use tools, or take action.
Shadow AI Agent Detection
Detect AI agents installed or running across the network by analyzing enterprise traffic and identifying unmanaged or unauthorized agent activity.
AI Agent Security & Governance Outcomes
AI Agent Security & Governance Benefits
Monitor Agent Activity and Risk
Full surface coverage
Zero blind spots
Audit-ready trails
Guardrails, not bans
Trusted by enterprises worldwide
