What is shadow AI? The hidden risk in your tech stack

Shadow AI, characterized by the unauthorized use of AI tools by employees, poses significant risks to organizations, including data exposure, compliance violations, and increased breach costs. Employees often resort to these tools for efficiency and to keep pace with AI initiatives, but this leads to sensitive company data being shared with unvetted systems, a practice that traditional security measures cannot easily detect. Prohibitions on AI tools, such as those attempted by companies like Samsung, are generally ineffective, as evidenced by widespread use among security professionals. Instead, organizations are encouraged to adopt governance-based enablement strategies, which involve providing sanctioned AI alternatives that integrate seamlessly into existing workflows and maintain necessary security controls. Cross-functional oversight is essential, requiring collaboration between privacy, security, and legal teams to evaluate and approve AI tools. Training employees on safe AI practices and deploying technical controls like Cloud Access Security Brokers and Data Loss Prevention tools can help mitigate risks. Platforms like Hex provide a secure environment where data queries are performed within governed systems, ensuring compliance without stifling productivity.