iboss

ORLANDO – November 03, 2026 -- iboss has announced AI DLP, a data loss prevention product that uses AI/ML to read content in real time and block sensitive data without relying on data labels, with private preview scheduled for December 2026.

The product targets data headed to AI platforms and tools, cloud apps and other cloud destinations. iboss says legacy DLP built on regex, pattern matching and labels only finds data that fits a pre-written pattern or carries the right label.

AI DLP classifies mislabeled and unlabeled files by inspecting content

Much leaked data has no fixed format, so rules searching for an account number or ID string let it pass. A file that is mislabeled or never labeled falls outside label-based policy and can leak.

ORLANDO – October 28, 2026 -- GigaOm has named iboss a Leader in its Radar for Zero Trust Network Access (ZTNA), placing the vendor in the Enduring Innovators quadrant for unified policies and visibility with AI insights.

The Radar evaluates how ZTNA offerings broker application access based on identity and context. GigaOm's assessment of iboss highlights three points: one policy plane across public and private resources, Policy Tracing that shows the policy and security-engine logic behind each access event, and ZTNA delivered inside the iboss Zero Trust SASE Platform.