Cybersecurity Blog / AI Security

Shadow AI and Data Leakage: What Businesses Should Control

Shadow AI occurs when employees use AI applications or features outside the organization's approved technology and governance process. The security problem is not AI itself. It is losing visibility into where business information is being sent and what permissions unreviewed tools receive.

Where leakage can happen

Risk can arise when employees paste confidential information into unapproved services, upload documents, connect cloud drives, authorize browser extensions or grant applications access to email and collaboration platforms.

Discover what is already in use

Start with employee interviews, SaaS inventories, identity logs and expense records where appropriate. The objective is to understand actual usage before designing controls.

Create simple data rules

Employees should know which information is public, internal, confidential or restricted and what categories are prohibited from unapproved AI systems.

Offer approved alternatives

Security works better when the organization provides practical tools that meet business needs. Approved platforms can then be configured with appropriate identity, administrative and data controls.

Review integrations, not only chat prompts

AI applications increasingly connect directly to business systems. OAuth grants, API keys, agents and plugins can create broader access than a single prompt, so they require separate review.

Make reporting easy

Employees should have a straightforward way to ask whether a tool is acceptable and report accidental exposure quickly. Fast reporting gives the security team more options for containment.

Continue with AI governance and cybersecurity, securing AI agents, and our Cybersecurity Knowledge Center.