AI Has Changed the Cybersecurity Threat Landscape for SMBs, Warns Eclipse Networks

The article says SMBs should assess where sensitive data is stored, which AI tools employees use, whether security controls extend to AI-connected systems, and whether staff have been trained on AI use and data handling. It presents this as a governance and deployment risk review for AI platforms and agents.

The article reports that SMBs are being urged to review where sensitive data is stored, what AI tools staff are using, whether existing security controls cover AI-connected systems, and whether employees are trained on AI use and data handling; this is framed as a governance and deployment risk review for AI platforms and agents. These are factual recommendations aimed at improving oversight of AI usage and reducing exposure of business data. From a RealGround perspective, this highlights a compliance and governance gap: SMBs need structured assessments of AI-related data flows, policies that restrict unsafe AI use, and executive-level guidance to align AI adoption with security and regulatory requirements. Practically, organizations should formalize AI usage policies, conduct readiness assessments across their AI tools and integrations, and establish ongoing governance to ensure that new AI deployments do not outpace controls on data protection and access.