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AI security for IT teams

Get ahead of AI sprawl and see every AI tool running across your work environment. NordLayer AI Scout deploys silently, can be live in under a day, and shows which tools are being used, by whom, and whether paid AI seats are turning into real adoption.

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AI tool monitoring dashboard with security findings and exposed credentials alert

Statistics

The gap between AI adoption and IT control

18%

18% of organizations maintain a current and complete AI inventory.

Source: IBM Think

56%

56% of knowledge workers use AI tools without approval, often through personal accounts.

Source: Okta

21%

21% generative AI data policy violations occur each month at the average organization

Source: Netskope

KEY CHALLENGES

Where AI use creates blind spots for IT

New AI tools can appear across the organization faster than IT policies and software inventories can track them. IT is still expected to know what is running, which tools are approved, and how widely they are being used – even when adoption happens outside procurement, SSO, or standard rollout processes.

Target

AI sprawl makes it hard to track what’s in use

Employees adopt AI tools faster than IT can review them, across browsers, desktop apps, coding copilots, and local AI agents. Many never go through procurement or IT review, leaving the approved list incomplete and IT without a reliable inventory of what employees actually use.

Audit accounts

Personal and free-tier accounts stay outside IT systems

Employees may use approved AI platforms through personal or free accounts that sit outside SSO and standard identity controls. IT cannot manage those accounts directly, but still needs visibility into where and how those tools are being used for work.

Scale

Rolling out another agent creates more overhead

Every new endpoint tool can mean packaging, deployment, employee communication, troubleshooting, and ongoing maintenance. IT teams need AI visibility without starting another rollout project or asking employees to adopt yet another app or login.

Unified policy

IT policies don’t show how AI is actually used

An AI policy can define which tools are allowed, but IT still needs to understand how those tools are used across teams and where real-world usage differs from company rules. Without that context, it’s difficult to identify policy gaps and decide where action is needed.

Code risk

IT has to balance control with employee friction

Security and governance teams may want tighter control, while engineering and other teams expect AI tools to work without slowing them down. IT stands between those needs and has to add visibility and policy without creating unnecessary friction for employees.

Professional using laptop with AI tool monitoring filters showing ChatGPT and Perplexity usage data

Turn AI sprawl into a clear inventory

NordLayer AI Scout helps IT teams see which AI tools are running across web and desktop, build a reliable inventory, and track adoption without adding another app or login for employees.

KEY BENEFITS

Everything IT needs to manage workplace AI

Know which AI tools employees use, how adoption changes, and where usage may fall outside company policies.

AI tool inventory displaying ChatGPT, Claude, and Perplexity usage data

Review what AI tools your team uses from one console

Get web and desktop visibility into approved and unapproved AI tools across the organization. Keep your inventory current, spot new tools as they appear, and review activity, users, detections, and adoption analytics in one place.

Zero-touch deployment checklist with three steps for setup completion

Deploy through your existing tools

Roll out the desktop sensor through Intune, Jamf, or your existing device management process, and deploy the browser extension through enterprise Chrome or Edge policies. No employee setup, no new login, and no manual install on every device.

Security findings highlighting exposed credentials and financial data risks

Enforce policies in web AI chats

Warn users, auto-redact sensitive data, or block risky prompts in monitored web AI chats. Choose what gets retained: full prompts and detections, detections only, or categories only.

Analytics charts showing AI token usage over time and weekly activity patterns

See who uses what and how often

Connect AI activity to users and departments, track active users and usage trends, and see whether paid AI tools are getting adopted or sitting underused.

User profile card showing AI editing activity metrics

Monitor desktop AI without interrupting work

Get visibility into supported desktop apps, local AI agents, MCP connections, and skills through observation-only monitoring that does not block or interrupt workflows.

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