Inventory
See instrumented agents, enrolled endpoints, owners, tools, MCP relationships, and recent activity.
Security teams
Reduce agent blind spots without turning every team into a manual reviewer.
Pavri helps CISOs, SOC teams, security engineering, and incident response understand which agents exist, what actions they take, which policies apply, and what evidence remains.
For security teams, Pavri turns AI agent activity into inventory, policy decisions, detections, evidence, and response workflows that are understandable by SOC and security engineering teams.
Operating problem
Agent activity crosses application, endpoint, and response boundaries.
Security teams need a way to connect framework sessions, coding assistants, MCP tools, endpoint evidence, policies, owners, and outcomes without stitching records by hand.
Action policy
Define high-risk operations and record why an action was allowed, alerted, denied, or held through the broker.
Evidence
Review direct evidence and response records without confusing them with analytical correlation.
Persona proof
From alert to evidence-backed response.
A risky agent action links to the implicated assistant or framework agent, user, workspace, tool, policy decision, evidence sources, and response status.
Persona proofApproval required
Investigation, evidence, and response in one workflow.
- Actor
- Cursor on Maya-MBP-14
- Action
- mcp.deploy
- Target
- prod-deploy MCP server
- Policy
- PROD-DEPLOY-04
- Reason
- Configured production deployment call requires review; denial creates an incident and preserves evidence.
- Control point
- Local MCP Broker
- Alert opens the implicated assistant, endpoint, workspace, and MCP tool call.
- Analyst reviews direct evidence, policy decision, human decision, and response record separately.
- Response disables the binding, creates an incident, and links back to the session trajectory.
Book a security-team demo.
Walk through inventory, policy, detection, investigation, and response for the two launch environments.