AI Security Issues SMBs Need to Solve Before Rolling Out Tools Like ChatGPT

This practitioner article outlines key AI security issues for SMBs, including data exposure, identity and access risks, shadow AI tool proliferation, and compliance and privacy concerns.[20] It warns that employees pasting sensitive company, client, financial, or employee data into generative AI tools without controls can cause data leakage, and recommends managed AI accounts, role‑based permissions, SSO/MFA, and documented AI usage policies.[20]

The article reports that SMBs face significant AI security issues such as employees pasting sensitive company, client, financial, or employee data into generative AI tools, widespread use of unmanaged personal AI accounts, shadow AI tools, and unclear policies around approved tools and data sharing.[9][3] It also notes related identity and access risks, lack of visibility into AI usage, and compliance and privacy concerns when AI outputs are used without review or documentation.[9][3] From a RealGround perspective, these behaviors create a direct data leakage and governance risk surface that requires formal AI usage policies, role-based access controls, managed enterprise AI accounts with SSO/MFA, and centralized logging to restore visibility and control.[3][12] Practically, SMBs should treat generative AI as a regulated data processing environment: classify what data may enter prompts, restrict high‑risk use cases (HR, finance, legal, customer), and conduct readiness and policy work before broad roll‑out.