Small and Medium Business Cyberattacks and the AI Security Gap

Microsoft’s SMB Cybersecurity report finds that a large majority of SMBs believe AI increases the need for additional security, yet many are only somewhat effective at basic practices such as MFA, patching, access control, backups, and incident response.[8] The report highlights that AI-driven threats amplify existing weaknesses in identity management and data protection, increasing the likelihood of data leakage and business email compromise for resource-constrained organizations.[8] It calls for SMBs to strengthen core controls and governance as they adopt AI tools, rather than relying on AI alone for security.[8]

According to Microsoft's SMB Cybersecurity report, most small and medium businesses believe AI increases the need for additional security, yet many are only somewhat effective at core controls such as MFA, patching, access control, backups, and incident response.[1] The report notes that AI-driven threats amplify existing weaknesses in identity management and data protection, raising the likelihood of data leakage and business email compromise for resource-constrained organizations.[1] From a RealGround perspective, this indicates a material AI-related data leakage risk as SMBs adopt AI tools without commensurate governance, control hardening, or secure workflows. Practically, organizations should conduct AI security readiness assessments, tighten identity and access controls, and review agent/business logic to ensure AI use does not expand uncontrolled data exposure or abuse channels.