The CISO’s guide to responding to shadow AI
Summary
Shadow AI refers to AI tools that employees use without approval from their organization, whether these are standalone tools or AI features embedded in existing software that weren't clearly communicated. CISOs (chief information security officers, the executives responsible for an organization's security) need to assess the risks these tools pose, understand why employees are using them, and decide whether to block them or bring them into official company use.
Solution / Mitigation
The source describes a response approach rather than a technical fix: CISOs should (1) assess the specific risk by examining data sensitivity, how the AI provider handles data, and whether a breach occurred, (2) understand why employees are using shadow AI and educate them on risks, (3) check if the organization already has approved tools that meet the same needs, and (4) redirect employees to approved alternatives "with a serious reminder" of approval requirements. The source also notes that organizations with slow AI adoption tend to see more shadow AI use, suggesting faster official adoption may reduce instances.
Classification
Original source: https://www.csoonline.com/article/4143302/the-cisos-guide-to-responding-to-shadow-ai.html
First tracked: March 26, 2026 at 08:00 PM
Classified by LLM (prompt v3) · confidence: 85%