Artificial intelligence (AI) can help employees summarize documents, analyze data and complete other routine tasks. However, workers may adopt AI tools before their employers can properly evaluate and govern them. This can lead to shadow AI—the use of AI tools or accounts that an organization has not approved. Although employees typically turn to these tools to save time or meet productivity demands, unapproved AI use can create serious cybersecurity, privacy, regulatory and intellectual property risks.
Understanding Shadow AI Risks
Employees may enter source code, customer information, contracts, financial records or HR files into public AI platforms without knowing how the providers store, process or reuse that data. Some platforms retain prompts or rely on third-party infrastructure, placing sensitive information outside the organization’s control.
Shadow AI may expose organizations to the following risks:
- Data breaches—Sensitive information entered into an unapproved tool could be improperly accessed, retained or disclosed.
- Privacy and compliance violations—Sharing personal or protected information may violate privacy laws, industry requirements or internal policies.
- Contractual breaches—Customer contracts, confidentiality agreements and other arrangements may restrict the disclosure of information to third parties, including AI providers.
- Intellectual property loss—Uploading proprietary data, source code or trade secrets could compromise ownership or confidentiality.
- Financial and reputational harm—An incident may trigger forensic investigations, legal expenses, regulatory inquiries, customer notifications and remediation costs. It may also erode customer trust.
Insurance Considerations
AI-related losses may create coverage uncertainty. Although cyber insurance has historically responded to some AI-enabled data breaches, insurers are increasingly adding AI-specific language and exclusions to various policies. Organizations should review their entire insurance program—not only cyber coverage—for AI-related limitations or gaps.
Reducing Shadow AI Exposures
Organizations can take these steps to manage unapproved AI use:
- Inventory AI tools. Identify the tools employees use and the business needs they address.
- Establish a written policy. Specify approved tools, acceptable uses and the types of information employees may share.
- Offer approved alternatives. Providing secure tools that meet legitimate business needs may reduce employees’ incentive to seek unauthorized options.
- Vet vendors. Review vendors’ security controls, privacy practices, retention policies and contract terms, including whether prompts are used to train models.
- Implement safeguards. Use access controls, network monitoring and data loss prevention tools to detect and limit unauthorized activity.
- Train employees. Explain AI’s risks and limitations and employees’ responsibilities for safeguarding organizational data.
Your Risk Transfer Resource
Shadow AI can turn a seemingly routine shortcut into a costly cyber incident. For more information about managing AI-related risks and reviewing applicable insurance coverage, contact us today.
This document is not intended to be an exhaustive source of information nor should any discussion or opinions be construed as legal advice. Readers should consult legal counsel or a licensed insurance professional for appropriate advice. © 2026 Zywave, Inc. All rights reserved.
