# AI Security for the Age of Autonomous Agents

Cyberhaven provides unprecedented visibility into AI usage and enforces risk-based controls, enabling AI adoption while keeping data safe.

## Discover every AI app and agent

Cyberhaven automatically inventories sanctioned and unsanctioned AI apps as they appear across the organization, from mainstream SaaS generative AI applications to endpoint coding assistants, open-source agent frameworks, and MCP servers. No manual cataloging required.

## Observe what data agents ingest

Go beyond detecting which tools are present. Cyberhaven tracks what data each agent accesses, what actions it takes, and how sensitive data moves through its workflows, giving security teams the observability they need to assess real risk.

## Assess risk with AI Risk IQ

Every AI tool and agent receives a risk score across five dimensions: data sensitivity, model integrity, compliance adherence, user access controls, and security infrastructure. This gives security teams a defensible, evidence-based risk posture.

## Enforce controls on the data, not just the tool

Cyberhaven applies risk-based policies at the data level, blocking or monitoring data flows based on context. When a developer pastes PII into an agent or an AI tool accesses a regulated file, Cyberhaven can act in real time, without disrupting legitimate work.

## Key capabilities

### The AI security features security teams actually need

AI security for enterprises is the practice of governing how AI tools, models, and autonomous agents access, process, and act on sensitive data across an organization. Unlike broader cybersecurity disciplines, enterprise AI security focuses specifically on the risks introduced when AI operates with direct access to business data and systems, including shadow tool usage, data exposure through generative or agentic AI, and autonomous agents executing workflows without direct human oversight.

### Why existing tools aren't enough

The way AI is used has fundamentally changed. Employees and developers are no longer just experimenting with chatbots. Autonomous agents are running on endpoints, accessing files, processing sensitive data, and continuously executing actions outside the visibility of most security programs.

### Discovery, observability, and control across every AI surface

Cyberhaven gives security teams real-time visibility into AI apps, agents, and data flows, across SaaS, endpoints, and developer environments. Policies are enforced based on behavior and data context, not assumptions.

### The Power of Data Lineage

**Cyberhaven pioneered data lineage to map data from its origin**, not just its current location. Every move, copy, edit, or share is captured, creating a complete map of how sensitive information flows across your enterprise. Data lineage detects hidden data exposure paths, feeds AI-driven classification with real context, and enables risk-based prioritization and enforcement at machine speed.

### Real-Time Enforcement

Stops unsafe or high-risk agent actions before they cause damage, with block, warn, and redact controls that operate across the full agentic workflow.

### Compliance Audit Readiness

Provides a comprehensive record of AI agent activity, data access, and policy enforcement actions to support audit workflows and regulatory reporting.

## Frequently Asked Questions

### What is AI security for enterprises?

### How is AI security different from traditional DLP?

### What are shadow AI agents and why do they matter?

### How does Cyberhaven detect AI tools on endpoints?

### What is an AI risk score?

### How does Cyberhaven enforce policies on AI-generated data?

### Can Cyberhaven secure agentic AI like Claude Code or Copilot?