Shadow AI raises data risks as businesses balance productivity with security

Jeremy Martin, President and CEO
Jeremy Martin, President and CEO
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Shadow AI, the use of unauthorized artificial intelligence tools in the workplace, is emerging as a significant risk for businesses. When employees turn to unapproved AI applications—such as chatbots—to improve productivity, they may inadvertently expose sensitive data and create compliance issues. This trend is occurring across various industries.

A recent IBM-sponsored study found that 80% of American office workers use AI at work, but only 22% rely solely on employer-provided tools. The majority either mix personal and enterprise apps or bypass official options altogether. This practice increases vulnerability to data leaks and misinformation. According to IBM’s 2025 Cost of a Data Breach Report, organizations with high levels of shadow AI faced $670,000 higher breach costs compared to those with minimal or no shadow AI usage.

The challenge for companies is balancing employee demand for effective AI tools with the need for security and compliance. Simply blocking public AI platforms can push employees to seek alternatives without oversight, making it harder for security teams to monitor risks. Experts suggest providing secure, approved solutions that meet user needs while embedding governance from the outset.

“Across industries, companies are showing what responsible AI adoption looks like. Even in Aerospace, IBM helped Lockheed Martin replace 46 disconnected systems with one unified data platform, eliminating silos, creating a secure foundation for internal AI innovation — all while maintaining rigorous security and compliance standards.”

IBM has implemented its own technologies internally through its “Client Zero” approach. One example is the AskHR digital assistant: “One standout is IBM’s AskHR digital assistant, which has processed more than 10 million interactions, automated over 765,000 tasks, and resolved 94% of HR inquiries.” This initiative has reduced operating costs and created new roles within the company.

To manage shadow AI risks effectively, leaders are encouraged to:

– Assess current AI usage within their organizations.
– Offer secure alternatives and approved tools.
– Embed governance throughout the process.
– Train employees on potential risks while demonstrating how approved solutions offer efficiency.
– Monitor and audit regularly.

Training remains essential; 60% of surveyed employees believe hands-on learning would increase their use of AI tools. The goal is not to replace human talent but to enhance it responsibly.

With most workers expecting AI’s importance in their roles to grow over the next few years—and half viewing it as essential—organizations must act now to ensure responsible deployment.

Generative AI offers significant productivity benefits if used securely and in compliance with regulations: “Generative AI is a powerful tool — but only if deployed responsibly. Get started today on security and compliance that can supercharge your AI productivity gains — and help you avoid the real risks of allowing shadow AI to continue in your company.”

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