AI is upending file security. Here’s how to fight back

This piece explains how AI and generative AI increase file-centric security risks by enabling polymorphic malware, tailored payloads, and deceptive content that bypass legacy controls, while frictionless file sharing expands attack surfaces across SaaS and development pipelines. Experts recommend modern, multilayered defenses—automated classification, contextual DLP, behavioral sandboxes, binary analysis, integrated EDR/cloud detection, CDR, and embedded controls within collaboration/dev tools—backed by strong governance (approved channels, audit trails, access oversight, and data classification). The goal is unified, easy-to-use platforms that automate trust, follow files across environments, and balance least privilege and validation without hindering collaboration.