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Shadow AI Monitoring
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.
Every unauthorized AI application introduces potential security and compliance risks. Employees may inadvertently share proprietary information, customer data, or regulated content with external AI platforms that fall outside approved governance policies.
Continuous monitoring helps organizations:
AgileBlue's AI-native SecOps platform helps organizations gain visibility into unsanctioned AI activity while strengthening overall security operations. By combining autonomous AI with 24/7 human oversight, the platform identifies emerging risks, correlates AI-related activity with broader threat intelligence, and helps security teams respond with confidence.
Security teams benefit from:
This enables organizations to secure Shadow AI while helping lean security teams operate more efficiently.
See how AgileBlue's AI-native SecOps platform helps organizations gain visibility into unsanctioned AI activity, identify potential data exposure, reduce alert noise, and strengthen security operations through intelligent monitoring and risk analysis. Book a demo today.
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.
Discover sanctioned and unsanctioned AI applications across your environment to understand where AI is being used and identify unmanaged adoption.
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.
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.
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.
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.
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.
Shadow AI Monitoring identifies and tracks the use of unauthorized or unapproved AI applications across an organization. It helps security teams understand where AI tools are being used, what data may be shared with them, and the potential risks related to data exposure, compliance, and governance. This visibility enables organizations to make informed security decisions rather than relying solely on blocking AI applications.