Govern Every AI Agent Wherever It Operates

Autonomous agents authenticate, query systems, move data, and trigger actions without a person watching each step. Kovrr's AI Security and Governance Platform traces every one of those actions back to the named user who authorized the agent, monitors behavior continuously as it runs, and enforces the boundaries the organization has defined. Security and GRC teams govern agent activity against a full audit trail of every agent action, built from systems already in place and from telemetry Kovrr collects directly.

Schedule a Demo
Kovrr Enterprise AI Security and Governance dashboard showing findings filtered by 'agent'. A pop-up highlights a new critical finding: an agent exceeded its tool call envelope by making 312 tool calls in 4 minutes against the customer records API, 24 times the established baseline, marked 12 seconds ago. The dashboard lists multiple findings with details like rule, asset, severity, status, and last seen date and time.

One AI Agent Action, Five Partial Records

An agent authenticates under a valid grant, reads data inside its authorized scope, and opens egress to an endpoint on no sanctioned list. Every source records something permitted. None records the sequence. Five routine events across 2.6 seconds, and triangulated they describe one agent exporting 45,000 customer records, traced to the engineer who authorized the token.

Diagram showing signal triangulation over a 2.6 second window across Application Identity Management, Endpoints, Browser, Network, and Risk Engine layers, identifying a service token svc-agent-recon traced to Daniel Reyes in Platform Engineering; highlights a 45,000-record export paused due to agent traced to named user, with Kovrr native and third-party telemetry indicated.
Dashboard interface of Kovrr Enterprise AI Security and Governance showing a timeline graph with real activity over time by severity levels: info, low, medium, high, and critical from 1 AM to 1 PM. Below the graph, there is a findings section with a search bar and filters for rules, sources, assets, and statuses. Listed findings include details like finding name, rule, asset, severity identified as low, status identified, and last seen date and time on October 6, 2026, at 1:19 PM.

How Kovrr Governs 
AI Agent Activity

Kovrr collects and connects telemetry into one record of agent behavior, reconstructed as a sequence and attributed to a named user.

  • Named-User Attribution: Every agent action resolves to the person who authorized it, including departed employees.

  • Continuous Behavior Monitoring: Behavioral drift and multi-step risk chains surface as they emerge, not at review.

  • Permission Boundary Enforcement: Actions exceeding an agent's scope are identified against the boundary crossed.

  • Rogue Agent Detection: Agents operating without authorization are identified and traced to origin.

  • Data-Level Policy Actions: Each of 500+ data categories is set to block, warn, allow, or redact.

  • SIEM Integration: Agent events flow into existing security operations tooling and response workflows.

Schedule a Demo

Monitoring Agent Activity Across Every Telemetry Source

Kovrr's AI Interaction Data Fabric Insights series traces the tokens, standing grants, and tool calls agents leave behind, naming what each telemetry source held and how the sequence resolved to a named user.

Explore AIDF Insights

What Autonomous Agent Governance Delivers

Defensible
Accountability

Every agent action carries a named owner, which answers the question auditors and regulators ask first.

Exposure Found While It Is Still Recoverable

Boundary crossings surface as the sequence runs, leaving a window to intervene.

Policy That Operates Rather Than Documents

Written agent policy becomes enforced practice, and the enforcement record doubles as evidence.

Financially Grounded Prioritization

Observed behavior feeds exposure modeling, so remediation follows projected impact.

Governance That Holds as Agent Use Grows

Coverage extends as new agents appear, without waiting on teams to report them.

AI Agent
Governance FAQs

Schedule a Demo

What is AI agent governance?

How does Kovrr attribute an agent action to a specific person?

Why do existing security tools struggle with agent behavior?

What happens when an agent exceeds its permissions?

Can Kovrr detect agents nobody reported?

How does agent governance connect to financial exposure?

Kovrr is a leading provider of AI and cyber risk, security, and governance solutions, helping global organizations evaluate exposure, quantify potential business impact, and strengthen resilience with data-driven insights. The platform gives security, risk, and compliance teams the comprehensive visibility and intelligence they need to manage risk continuously and at scale.

© 2026 Kovrr. All rights reserved.
Privacy-Shield-NoticePrivacy-PolicyTerms of UseCRQ FAQAI FAQ