Device-Based AI & SaaS Discovery with JumpCloud

While SaaS is traditionally viewed as living “in the browser,” almost every major vendor now pushes a native desktop client for better performance, offline access, or deeper OS integration. 

When employees download these and log in with personal or work credentials, they become completely invisible to IT.

Combined with the rise of local LLMs and agentic browsers, this shift to local hardware creates a significant blind spot. Because these standalone tools execute locally, they naturally bypass standard cloud logins and web filters.

JumpCloud is closing that gap with device-based AI & SaaS discovery. Instead of pushing a separate tracking tool to the endpoint, this capability uses the existing JumpCloud device agent to identify locally installed applications. It delivers the exact data needed to uncover shadow IT and rogue AI, and clear the path for safe AI adoption.

Completing the Picture from Browser to Device

Secure AI adoption is currently stalled for many organizations by two major roadblocks: limited oversight of permissions (46%) and a fundamental lack of visibility into AI activity (45%).

JumpCloud’s AI & SaaS Management solution tackles these challenges by uniting browser, connector, and device-based discovery into one comprehensive platform.

This third pillar is critical. As employees shift to local applications, traditional cloud-only tracking methods fail:

• The connector bypass: Logging into a standalone AI desktop app with personal credentials generates no corporate SSO or IdP log for standard API integrations to catch.
• The browser bypass: Executing models locally via an LLM runner (like LM Studio or Ollama) happens entirely outside the web browser. With no data sent to the cloud, secure web gateways (SWGs) have zero network traffic to intercept.

Expanding discovery capabilities directly to the endpoint via the JumpCloud agent bridges the gap between cloud infrastructure and local hardware. This unified approach delivers the exact data IT teams need to identify unvetted local AI, reduce organizational risk, and manage the full reality of modern software usage.

How Device-Based SaaS Discovery Works

Rather than requiring the deployment and maintenance of an additional, resource-heavy tracking tool, this new capability puts the existing JumpCloud device agent to work.

Here is a look at the core mechanics driving this new discovery engine:

• Agent-powered discovery: The native device agent continuously scans the endpoint, giving administrators concrete visibility into exactly which traditional SaaS apps, standalone AI desktop apps, and agentic browsers are physically installed on the machine.
• Broadened coverage: By pulling data directly from the local hardware, the solution uncovers direct downloads that easily bypass standard network firewalls, SWGs, or traditional IdP discovery methods.
• Centralized visibility: To eliminate administrative context-switching, device-discovered applications are displayed alongside web-discovered sources. This consolidates your entire software inventory within the SaaS Management console.

High-Impact Use Cases for IT and Security Teams

By extending discovery directly to the endpoint, organizations can address critical security and administrative challenges that traditional, browser-centric tools may leave unaddressed. Here are the primary ways IT teams can leverage this new visibility:

1. Detecting Agentic Browsers and Locally Installed AI

The adoption of generative AI has moved far beyond basic web chat interfaces. Employees are increasingly downloading standalone AI desktop apps and agentic browsers. Because these tools are specifically designed to act autonomously, they introduce severe blind spots:

• Local execution: They run directly on the hardware, completely bypassing corporate SSO and network-level data loss prevention (DLP) controls.
• Autonomous activity: They can navigate the web, scrape screen data, and execute tasks locally without direct user prompts.

Device-based discovery allows security teams to instantly spot these unvetted installations, enabling IT to evaluate the risk and block unauthorized software before proprietary company data is exposed.

2. Establishing a Source of Truth for Compliance

Compliance frameworks and software audits require a complete, accurate inventory of all applications in use across the organization. Pulling only web-based data leaves a significant compliance gap.

Combining browser and connector-based discovery with endpoint installation data allows administrators to generate a unified, highly accurate software bill of materials (SBOM) to easily:

• Prove regulatory compliance
• Track and catalog local shadow IT
• Pass internal and external security audits

3. Eliminating Agent Fatigue and Stack Bloat

Finding out what is actually installed on a local machine usually means buying and pushing out a dedicated discovery agent. For IT, that translates to another vendor contract, another deployment headache, and another background process slowing down the endpoint.

Because JumpCloud unifies identity, device, and SaaS management, there is no need to deploy a separate tracking tool. The JumpCloud agent already managing the device collects that application data for you. It delivers the visibility IT needs while actively shrinking the tech stack:

• Cut the agent clutter: Stop deploying heavy, standalone discovery tools that conflict with existing software.
• Preserve device performance: Keep CPU and memory free by relying on the single, lightweight agent already installed on the machine.
• Manage it all in one place: Handle cloud access, device policies, and local software discovery from the exact same console.

Ready to Uncover the Rogue Apps on Employees’ Desktops?

Once activated, device-based discovery delivers actionable intelligence without cluttering your console. Strict attribution logic keeps your software inventory clean, ensuring you only see local applications confidently tied to a verified user.

Unvetted software is instantly flagged for review, giving you an immediate heads-up on exactly what is running on the hardware so you can take action.

True IT control doesn’t stop at the web browser. Log in to the JumpCloud Admin Portal today and uncover local shadow IT and AI.

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