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The rapid adoption of Generative AI (GenAI) is reshaping how employees work. This innovation is driving productivity. But the lack of IT oversight over rogue AI applications creates critical blind spots. For IT and security teams, this presents a dual threat. There is a data exposure and a compliance gap that traditional SaaS management can no longer address.
While AI is organizations’ top priority, 94% of IT professionals see big risks associated with AI.
Your employees are already adopting powerful new AI tools, often without official approval. This exposes sensitive company data and intellectual property (IP). Compounding this risk is the increasing regulatory mandates under frameworks like the EU AI Act, SOC 2, and HIPAA. These regulations demand crystal-clear oversight. It has to be over all systems and data processing, a standard that shadow AI makes nearly impossible to meet.
IT needs a new approach. That’s why JumpCloud introduces shadow AI governance capabilities to its SaaS management solution.
Turning Rogue AI Into Managed Innovation
Shadow AI is distinct from traditional shadow IT. These generative tools are designed to handle, process, and even store highly sensitive data, and their adoption accelerates faster than conventional SaaS. This requires dedicated governance, not just general discovery.
JumpCloud’s expanded AI & SaaS Management is purpose-built to address this emerging challenge. With this expansion, IT teams can move beyond reacting to unknown usage and instead become the secure enablers of AI innovation.
A Crystal Clear View Into AI Usage: Shadow AI Dashboard
The real challenge isn’t that employees are experimenting with GenAI. The challenge is the lack of actionable intelligence. It can’t see where, how often, and for what purpose that experimentation is occurring.
Rogue AI activity is embedded in daily workflows across multiple teams. The Shadow AI Dashboard inside JumpCloud AI & SaaS Management turns that blind spot into a single, reliable source of truth.
This dedicated view centralizes key intelligence, providing IT admins with:
- AI Usage Trends. Track the velocity of AI adoption across the organization.
- Active Users & Departments. Pinpoint the teams and users driving adoption.
- Discovered Application List. Maintain a centralized inventory of every generative AI tool employees use.
This level of visibility removes the need to manually dig through scattered data sources. It ensures you have an accurate, auditable picture of risk and compliance readiness against unauthorized GenAI adoption in real time.
Proactive AI Security with Pre-Discovery Actions
Usage monitoring is only half the battle. To effectively mitigate risk, IT needs to intervene before too many people are using a new tool.
Pre-discovery actions ensure control at the point of origin. This allows you to approve or restrict new GenAI applications even before they are discovered or used extensively by the organization.
Pre-Discovery Actions empower your team to:
- Prevent Unauthorized Use. Instantly stop problematic tools before they can proliferate and access sensitive data.
- Contextual Decision Making. Leverage dashboard usage metrics to make informed, data-driven decisions. Decide which tools to allow, restrict, or investigate.
- Guide Secure Adoption. Turn a potential risk into a managed, visible activity. Define and enforce security guardrails for teams exploring AI.
These early interventions are critical for demonstrating due diligence to auditors. This is what allows you to confidently export reports that support compliance.
Stop Fighting Fires, Start Enabling AI
Your role has shifted. You are no longer just the gatekeeper fighting shadow IT. Instead, you are the strategic partner who accelerates innovation safely.
- Command, Not Catch-Up. Proactively govern AI adoption. Restrict risky AI tools before they proliferate and cause trouble. Approve sanctioned applications, and see usage trends to invest in AI that your users will actually use.
- Audit-Ready Compliance. Eliminate guesswork. Generate reports to support your compliance efforts regulations like for SOC 2 and the EU AI Act.
- Data-Driven Budgeting. Show leadership exactly where GenAI is being used and its impact. Justify budgets, guide licensing decisions, and own the data narrative.
- Elevate Your Role. Shift from the team that says ‘No’ to the department that securely empowers productivity.
Discover how JumpCloud AI & SaaS Management enables secure AI adoption in your organization and helps you discover shadow AI with ease.
