Your Growing AI Attack Surface

Users introduce new AI tools every day, often through personal accounts beyond security’s view, increasing your risk surface.

Shadow AI

43% of workers admit to sharing sensitive data with AI tools without authorization and data reaches AI tools faster than security teams can track it.

The Visibility Gap

52% of security leaders say their organization’s use of AI is ungoverned, so they don’t know which agents and tools are being used or what they have access to.

New Attack Vectors

Prompt injection, data exfiltration, excessive agency, and unbounded consumption bypass legacy tools that were never built to inspect agent activity.

Fragmented Governance

Every AI platform has its own admin console, logs, and policy settings, leaving security teams to stitch together partial views.

Key Benefits

Discover AI Agents and Tools

Automatically find AI agents and tools in use, from sanctioned to shadow AI and personal accounts, with a self-updating inventory and risk inspection.

Real-Time Coaching

Coach users in real time when they take risky actions. Explain what happened and why it matters, instead of just logging the action to investigate later.

Reduce Risk Permanently

Teach users how to use AI safely so risky actions don’t repeat. Over time, this means less risk and fewer alerts for your team.

Govern AI Without Slowing Productivity

Enforce your AI Acceptable Use Policy and allow, warn against, or block dangerous AI tools. Steer users toward approved AI where security teams can see them.

One Risk Score for Human + AI Risk

Unify human and AI behavior in one Risk Score, so AI risk gets measured alongside the human risk you already track and act on.

Adopt AI With Confidence

Monitor AI usage in one place, and gain the visibility and control to adopt AI safely, so your team can move fast without leaving security behind.

How it Works

Agent Risk Manager connects to your AI platforms and browsers in one interface to monitor and protect your AI agents and the people who use them. It is easy to set up and gives your security team visibility into how AI is being used across your organization.

1. Connect:

Link your agent providers (Microsoft Copilot, Claude, ChatGPT, Gemini) and deploy the browser extension in minutes through a guided onboarding.

2. Discover:

Agent Risk Manager automatically monitors every AI agent, tool, and user interaction, including browser activity.

3. Detect:

Interactions run through detection agents to identify prompt injection, PII leaks, unbounded consumption, and more.

4. Coach & Govern:

If a threat is detected, Agent Risk Manager raises an alert, warns, and coaches the user, or blocks the interaction and steers users to approved tools with the event logged for investigation.

5. Investigate:

From the dashboard, your security team can triage detections, review the audit trail, and use findings to maintain compliance and fine-tune policies.

Features Built for Security Teams

Discover Shadow AI

Find AI tools in use across your organization, including unapproved tools and personal accounts. Every browser AI activity is labeled as personal or corporate, and new tools are flagged the moment they appear.

Enforce Your AI Acceptable Use Policy

Require every user to attest to your AI policy before using AI tools, and re-gate access whenever the policy changes. Set each AI site to allow, warn, or block, and easily export the full trail for audit.

Catch Threats Before They Cause Damage

Detection agents read the full conversation and Agent Risk Manager can block risky prompts before they’re sent. Analysts get a real-time feed of risky events, categorized by threat type and severity.

Know Which Users are Your Highest AI Risk

Easily identify which users trigger the most AI detections, and drill down into the events behind each one. Every event is logged for investigation and review.

Four Detection Agents Mapped to the OWASP Top 10 For LLM and Agentic Applications

Prompt Injection

Detects prompt injection including jailbreak attempts and indirect injections hidden in tool outputs. It reads the full conversation and reasoning behind each tool call rather than matching keywords.

Sensitive Information Disclosure / DLP

Recognizes 25 categories of PII, credentials, and regulated data, and redacts sensitive information to prevent data leaks. Custom data types let admins define proprietary identifiers.

Excessive Agency

Detects privilege escalation, goal drift, and data exfiltration attempts, flagging agents that act beyond their granted permissions or intended scope.

Unbounded Consumption

Catches resource abuse and runaway loops, including excessive API calls and tool use, before an agent runs up a large bill or overwhelms a system.

AI Resources

How to Secure AI Adoption in Your Organization

Watch Now

The Convergence: Why Your Human Risk Management Strategy Can’t Ignore AI