Gamma.AI - DLP solution

Gamma.AI scans content and decides what is sensitive with deep learning, reporting 99.5% classification accuracy. Context matters here, because a string of numbers means something very different in a medical record than in a shopping list. The engine reads surrounding context to cut down on false alarms that wear out a security team.

Rolling out DLP used to be a months-long project. Gamma.AI positions the install as one click across applications, devices, and users, which lets a small team protect a large workforce without a device-by-device job. For companies that cannot spare IT cycles, that speed is the deciding factor.

The platform connects to the apps where leaks actually happen, including Slack, Gmail, Google Drive, and GitHub. Coverage is horizontal rather than tied to one vendor, so a company running a mixed stack can watch the whole surface through a single pane. You are not stitching together separate DLP tools per app.

When the engine catches a violation, it notifies the employee and lets them fix it, rather than routing every alert to the security desk. That turns each incident into a small training moment and keeps staff in the loop about what counts as sensitive. It also cuts the alert fatigue that makes real threats easy to miss.

Cloud DLP focuses on the risk that comes from inside, whether that is carelessness or a departing employee moving files. Gamma.AI frames its coverage around the people and communication channels that carry data, so activity that looks normal on a network monitor still gets read in context.

Before you can protect data, you have to find it. The platform scans cloud repositories to map where sensitive content lives, then applies policy from there. That discovery step is what lets a team move from a rough guess about exposure to a concrete list of what needs guarding.