NordLayer AI Scout: Centralizing Enterprise AI Visibility and Security

Executive Overview

NordLayer AI Scout delivers comprehensive telemetry across all sanctioned and unsanctioned AI applications within an organization. By integrating pre-submission Data Loss Prevention (DLP) and precise adoption metrics, the platform empowers IT teams to secure data without impeding workforce productivity.

Enterprise AI adoption is rapidly outpacing corporate oversight, creating massive blind spots for IT and security teams. According to data from the University of Melbourne, a mere 42% of employees restrict themselves to company-provisioned AI tools, while 70% actively utilize free, public Large Language Models (LLMs) for their daily tasks. The security implications are severe: IBM’s Cost of a Data Breach Report 2026 indicates that “shadow AI” drove 43% of all security incidents—more than double the 20% reported in 2025.

To combat this, organizations must shift from blind blocking to informed governance. NordLayer AI Scout is engineered to map the reality of how AI is consumed at the technical level, unifying company-wide AI activity into a single, manageable dashboard.

“What companies are facing today is an AI zoo—dozens of unsanctioned LLMs in daily use across the workforce, each one widening the organization’s exposure to data leaks and security breaches. Real AI governance requires broad visibility. Organizations need telemetry that brings all AI use, sanctioned or not, into one platform.”

— Andrius Buinovskis, VP of Product Strategy, NordLayer

Core Platform Capabilities

Shadow AI Discovery

Seamlessly monitors and catalogs all LLM interactions—both web-based and native desktop applications—providing a clear inventory of approved and unapproved tools actively running in the environment without introducing friction for the end-user.

Pre-Submission AI DLP

Unlike traditional DLP that monitors data at rest or in transit, AI Scout operates on-device to inspect prompts before they are transmitted to the model. Administrators can configure the system to issue warnings, redact sensitive data, or outright block the prompt.

Agentic AI Oversight

Visibility extends beyond the chat interface to autonomous AI agents. The platform maps out Model Context Protocol (MCP) servers and catalogs the specific skills and resource access granted to coding agents, establishing genuine architectural governance.

Financial & Adoption Analytics

Moves beyond basic seat counting by measuring actual engagement. The platform tracks active versus paid licenses, assesses the true depth of adoption across teams, and calculates estimated token expenditures across all deployed LLMs to optimize IT spending.

“AI DLP inspects prompts and controls them pre-submission, so sensitive data is never submitted in the first place.”

— Vakaris Noreika, VP of Product Research and Development, NordLayer

Deployment Success: The Oxylabs Case Study

Oxylabs, a global web intelligence provider valued at $3.6 billion, faced significant visibility gaps regarding their AI expenditure and security. Their telemetry was fragmented across multiple vendor dashboards, skewed by continuous API updates, caching, and shifting pricing models. Furthermore, the security team was highly concerned about machine-to-machine data access and the potential for security tokens to leak via employee prompts.

Initially scoping a custom, CLI-based tracking tool—an initiative that would have drained engineering resources and required perpetual maintenance—Oxylabs pivoted to NordLayer AI Scout. They successfully deployed the browser extension and desktop sensor architecture across 469 devices in under two weeks.

The Operational Impact:

  • Cost Optimization: Monthly Claude licenses are now accurately aligned with actual team usage across three distinct license tiers.
  • Accelerated Threat Response: The risk management team now reviews automatically flagged DLP violations rather than manually parsing raw AI activity logs.
  • Data-Driven Policy: With concrete metrics on token spend and tool adoption, Oxylabs has established an evidence-based framework for long-term AI governance.

“NordLayer AI Scout is a browser extension and desktop sensor architecture that collects data from all company-wide AI tools in one place, and it’s a really useful tool for us.”

— Martynas Jočys, Data Engineering Tech Lead, Oxylabs

NordLayer AI Scout is generally available for all organizations starting today. Contact our enterprise team to eliminate shadow AI blind spots and secure your workforce’s AI integration.