These days, employees are downloading new AI tools without a second thought. Unfortunately, what starts as an earnest attempt to get better at their job often turns into a security risk. Shadow AI hides on the endpoint in skill files, MCP servers, and local AI clients.
Most legacy security tools focus only on runtime visibility, acting as a last line of defense when something is invoked in an agent session. While the last line is important, it’s critical to detect unsanctioned AI tooling before it executes, so you can contain and remove malicious content before it has a chance to run.
Runlayer's Sessions & Shadow AI give security teams the greatest breadth and depth of AI endpoint security. With endpoint-level visibility, malicious skill and MCP tool checks at installation time, and scalable enterprise deployment paths, you can keep the business on the golden path to AI adoption.
Detect malicious AI artifacts before they execute
Everyone’s a builder, and builders are eager to experiment. With the best of intentions, these builders often can’t resist a nice LinkedIn post promoting a free repository of skill files that are sure to make their agents better. Who can blame them for blindly downloading the full repo without a deep inspection?
While most security tools wouldn’t see the skill files until the user loads them in an active agent session, Runlayer scans them proactively. When new skills and MCP servers are downloaded, Runlayer looks for malicious contents and techniques like prompt injection, data exfiltration, privilege escalation, guardrail bypass, and more. Full skill file inspection provides in-line analysis on specific risks, in addition to a high-level categorization. Deterministic policies can be applied to outright block high risk skills and tool calls, preventing security incidents proactively.
With Runlayer, your AI attack surface shrinks proactively.
Uncover the full breadth and depth of shadow AI
Shadow AI is everywhere. From skill files and MCP servers, to AI clients, plugins, agents, and individual tool calls that run on laptops, cloud containers, Linux servers, and any other operating system you can think of. Multiply that across thousands of employees, and you’re dealing with a seemingly insurmountable challenge.
Runlayer addresses this head-on with endpoint-level visibility that covers the full depth and breadth of shadow AI. Runlayer provides a lightweight client, AI Watch, that detects and logs all employee AI activity across clients, agents, MCPs, skills, and tool calls. AI Watch supports the full breadth of endpoints across Mac, Windows, and Linux operating systems, so you can ensure full coverage. With this approach, you’ll know what and where AI is being used across your workforce.
On top of that breadth, Runlayer goes deep with full agent session logs. Turn-by-turn visibility across user inputs, AI reasoning steps, MCP tool calls, and actions provides the context on how AI is actually being used. Runlayer generates in-line alerts on high risk behavior, so you can prioritize your time on the signals that require your attention.
Easily manage AI visibility at enterprise scale
When you’re dealing with thousands of employees, you need a simple, reliable way to manage endpoint visibility. Runlayer’s endpoint client, AI Watch, deploys easily via your MDM tool of choice, so you can fold it into your existing endpoint management process. Runlayer supports all major MDM providers including Jamf, Workspace ONE, Intune, and more.
In addition to the endpoint client, AI Watch ships with a browser extension to cover browser AI sessions as well. Today, the browser extension supports Google Chrome, Mozilla Firefox, and Microsoft Edge.
With Runlayer, you achieve full shadow AI visibility at enterprise scale.
Make the safe path the golden path
Enterprise security teams shouldn't have to choose between letting employees adopt AI and knowing what that AI is actually doing. Runlayer doesn't make you choose. Sessions & Shadow AI give your security team the proactive detection, full telemetry, and enterprise-scale deployment you need to say yes to AI adoption with confidence. See why leading enterprises like AngelList, Gusto, and Lemonade trust Runlayer to facilitate their AI strategy across the workforce → book a custom demo.
