Iboss Unveils AI DLP for Real-Time Data Controls Across Cloud and AI

iboss announced AI DLP on November 3, 2026, a data-loss prevention product designed to inspect content in real time across AI tools, cloud applications and other online destinations. The company plans to open a private preview in December 2026. The product targets limitations in conventional data-loss prevention. Rules based on regular expressions and pattern matching look for formats defined in advance, such as an account number or ID string, while label-dependent controls can miss files that were labeled incorrectly or never labeled.

Examples include a file shared to a cloud drive, a form submitted to a web application and source code pasted into an AI tool, all of which can carry sensitive material without fitting a fixed pattern. AI DLP combines AI and machine-learning classification with deep content inspection to examine data as it moves. File analysis and optical character recognition extend that inspection to documents and text inside images, covering content that is labeled, mislabeled or unlabeled.

The design bases enforcement on the substance of a file or prompt, including when format rules and metadata provide no reliable signal.…