Shadow AI Monitoring
Secure Shadow AI
Without Slowing Innovation
AI is transforming security and it’s also creating new exposure.
While most platforms focus on using AI to improve detection and response, they overlook a growing risk — unsanctioned AI usage across your organization. AgileBlue provides visibility into Shadow AI, so you can secure what others can’t see.
Benefits + Features
Complete Visibility
Gain visibility into AI applications, coding assistants, browser extensions, and AI agents to identify Shadow AI risks before they become security incidents.
Sensitive Data Protection
Detect when proprietary data, credentials, or customer information is shared with AI tools to prevent accidental leakage and compliance violations.
AI Usage Policy Enforcement
Establish guardrails around approved AI tools and usage to reduce risk while enabling teams to safely adopt AI.
Contextual AI Risk Analysis
Correlate Shadow AI activity with identity, endpoint, and threat data to prioritize the exposures that matter most and respond with confidence.
Shadow AI is Expanding
Your Attack Surface
You can't secure what you can't see. Every employee experimenting with AI tools creates a potential entry point for data leakage, compliance violations, and new attack vectors. The challenge isn’t stopping AI adoption; it’s gaining control over it. With AgileBlue, you don’t have to choose between innovation and security.
- Continuous monitoring of AI usage across users and endpoints
- Detection of sensitive data exposure in AI tools
- Integrated into your broader security posture
Discover Every AI Touchpoint
Shadow AI is evolving beyond chat applications. Employees are adopting AI coding assistants, browser extensions, custom AI skills, and AI agents that connect directly to enterprise systems, often without security teams knowing. As AI adoption expands, so does your attack surface. AgileBlue provides comprehensive visibility into the AI tools, integrations, and configurations across your environment, helping you uncover unmanaged AI, understand potential exposure, and strengthen AI governance before risk becomes reality.
AI Applications
Discover sanctioned and unsanctioned AI applications across your environment to understand where AI is being used and identify unmanaged adoption.
AI Code Tools
Identify AI coding assistants like GitHub Copilot, Cursor, and Claude Code to understand developer adoption and reduce the potential exposure of proprietary source code, API keys, and internal business logic.
Browser & File Extensions
Detect AI-powered browser extensions and plugins that often operate outside traditional security controls, helping eliminate one of the most common Shadow AI blind spots.
AI Skills & Plugin Detection
Discover AI skill files, plugin manifests, and custom AI configurations to understand how AI is being extended across your organization and where sensitive information could be unintentionally exposed.
MCP Detection
Identify Model Context Protocol (MCP) connections that enable AI agents to interact directly with enterprise tools, databases, and applications, providing visibility into one of the newest and fastest-growing forms of Shadow AI.
AI Usage Insights
Understand how AI is being adopted across your organization with visibility into usage trends, user activity, and emerging patterns that help inform governance and security decisions.