Why IT Must Discover, Govern, and Secure Shadow AI

Written by Sean Blanton on November 6, 2025

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Would IT have let ChatGPT walk through the front door without asking? Probably not. But it’s been slipping in through the side windows for months. 

This isn’t just a hypothetical situation. 89% of generative AI (GenAI) use in enterprises today happens as “Shadow AI”–unsanctioned tools and apps employees use without IT’s oversight. 

While AI offers incredible potential, Shadow AI comes with serious risks, like data exposure, regulatory breaches, and intellectual property leaks. 

Blocking these tools isn’t enough anymore. IT needs a proactive approach—one that shifts from simply putting up barriers to enabling secure, strategic AI adoption across the organization.

Why Shadow AI Threatens Enterprises

Shadow AI isn’t an intentional rebellion against IT policies; it’s a solution to inefficiencies. Employees seeking greater productivity often gravitate to tools like ChatGPT, Jasper, or MidJourney. But these unauthorized tools create significant problems:

  • Data Leakage Risks: Employees may unintentionally input sensitive data into external AI tools, risking breaches or exposure of proprietary information (e.g., Samsung engineers leaked sensitive code into ChatGPT). 
  • Regulatory Violations: AI interactions may not comply with regulations like GDPR, SOC 2, or HIPAA, resulting in potential fines. 
  • Intellectual Property Exposure: Organizations risk losing control over generated content if AI tool terms of service are not carefully reviewed.

Left unchecked, Shadow AI compounds vulnerabilities across enterprise ecosystems, making IT not just unaware of threats but incapable of mitigating them.

From Shadow to Strategic AI Adoption

A reactive, block-first approach is insufficient in an enterprise landscape driven by innovation. To harness AI’s potential while securing your organization, IT teams need to take a three-phase approach.

Discovery: Shine a Light on Shadow AI 

AI usage becomes manageable only when fully visible. IT teams need reliable discovery methods to identify unsanctioned AI usage across the enterprise ecosystem. 

How to Discover Shadow AI Tools: 

  • Network Monitoring: Trace unexpected traffic to known GenAI endpoints using tools like firewalls or network analyzers. 
  • Cloud Access Security Brokers (CASBs): Monitor and secure cloud interactions, detecting unsanctioned AI tools in real time. 
  • Browser Extensions: Lightweight tools, such as browser extensions, can help capture SaaS logins from browsers and flag unsanctioned applications, complementing deeper integrations with identity providers or CASBs for broader visibility.
  • Log Reviews: Review system activity logs to identify unauthorized usage of services like ChatGPT or DALL-E.

Start by auditing commonly targeted workflows like marketing content approval systems, customer service knowledge bases, and R&D file-sharing tools.

Governance: Build Guardrails Without Wielding Walls 

Once Shadow AI tools are identified, the next step is transforming usage into a governable, compliant framework. Empower employees with guidelines rather than banning tools altogether. 

Key Governance Considerations: 

  • Define Acceptable Use: Develop a clear policy outlining what AI tools are acceptable and for what purposes. 
  • Establish Security Protocols: Implement measures such as Multi-Factor Authentication (MFA), encryption, and access controls to secure sensitive data. 
  • Monitor Usage: Regularly review activity logs to ensure compliance with governance policies and identify any potential risks or unauthorized usage. 
  • Educate Employees: Offer training sessions on Shadow AI risks and appropriate use of personal tools in the workplace. 
  • Provide Alternative Solutions: Evaluate and offer approved alternatives that meet employee needs, reducing the temptation to use unapproved tools. 
  • Continuously Reevaluate: As new AI tools emerge, continuously reevaluate and update governance policies to ensure they remain effective.

By following these best practices, IT professionals can effectively manage the use of Shadow AI in their organization and mitigate potential risks.Discover how JumpCloud’s SaaS management solution can help you streamline IT operations, enhance security, and maintain compliance.

Sean Blanton

Sean Blanton has spent the past 15 years in the wide world of security, networking, and IT and Infosec administration. When not at work Sean enjoys spending time with his young kids and geeking out on table top games.

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