New platform capability gives security teams visibility into AI tools used across their environment, closing a critical gap in today’s attack surface
CLEVELAND, OH, April 15, 2026 –AgileBlue, an AI-Native Security Operations (SecOps) Platform, today announced the launch of Shadow AI Monitoring, a new capability designed to give organizations complete visibility into unsanctioned AI tool usage across their environments. As employees rapidly adopt generative AI and third-party AI platforms and tools, often without IT or security approval, Shadow AI has emerged as one of the fastest growing, yet least visible risks in security.
Research underscores the urgency: 49% of employees admit to using AI tools not sanctioned by their employer, ¹ 38% share confidential data with AI platforms without approval,² and 1 in 5 organizations has already experienced a breach tied to Shadow AI.³ Despite these risks, most security platforms are not built to detect or manage AI-related exposure.
AgileBlue’s Shadow AI Monitoring addresses this gap directly, integrating seamlessly into the organization’s existing platform to deliver complete visibility and insight into unsanctioned AI usage across client’s environments to identify hidden risks before they lead to data exposure. For organizations trying to operationalize this risk, threat exposure management provides the broader framework for identifying external AI, identity, and data exposures before they escalate.”
“AI is transforming how organization operate and how they are attacked at an alarming rate. With the launch Shadow AI monitoring, we give businesses the visibility and control to secure this new risk before it becomes a threat.”
— Tony Pietrocola, President, AgileBlue
The stakes are real. Common risk scenarios include employees pasting client contracts into generative AI tools, HR teams uploading employee PII to AI summarization platforms, developers using unapproved code assistants that expose proprietary source code, and finance teams sharing sensitive M&A data with unvetted AI services. Each scenario creates potential legal, compliance, and regulatory exposure that traditional security tools are not designed to catch.
Unlike point solutions that require additional tooling, Shadow AI Monitoring is built directly into the AgileBlue platform. Security teams gain continuous monitoring of AI usage across users and endpoints.
Organizations interested in gaining visibility into AI usage across their environment can learn more at AgileBlue.com or speak with an expert to see Shadow AI Monitoring in action.
About AgileBlue
AgileBlue is redefining security operations with an AI-native, all-in-one SecOps platform designed to detect, investigate, and shut down cyber threats with speed and precision, and now including Shadow AI Monitoring. Powered by decision-making, agentic AI and backed by 24/7 security experts, AgileBlue eliminates silos and reduces alert noise.
The platform delivers enterprise-grade protection across endpoint, cloud, and network environments. While others are still detecting threats, AgileBlue has already responded, automating critical actions while keeping human analysts in the loop. Purpose-built for the mid-market, AgileBlue provides seamless integration, intelligent automation, and a trusted security partnership that enables organizations to move from reactive defense to proactive resilience.
Learn more at AgileBlue.com.
Sources
- BlackFog, “Shadow AI Threat Grows,” blackfog.com/blackfog-research-shadow-ai-threat-grows/
- Programs.com, “Shadow AI Statistics: How Unauthorized AI Use Costs Companies,” programs.com/resources/shadow-ai-stats/
- IBM, “Cost of a Data Breach Report 2025,” newsroom.ibm.com/2025-07-30-ibm-report-13-of-organizations-reported-breaches-of-ai-models-or-applications,-97-of-which-reported-lacking-proper-ai-access-controls
