Introduction

For most security and IT teams, visibility into data is fractured across multiple cloud and on-premise data stores and locations, resulting in fragmented data security coverage and low visibility into the current state of the organization’s data security posture.

Leveraging AI machine learning, FortiData provides a centralized view of the sprawl of sensitive data across your Microsoft SharePoint (both on-premise and cloud), AWS, and Samba (SMB) environments by discovering, classifying, and labeling sensitive data using its advanced data recognition and customizable data types. You can also configure scans to access and analyze files in a target location with a proper schedule.

Integration with Fortinet security fabric is currently unavailable but is coming soon with planned integration with FortiGate, FortiAnalyzer, and FortiClient. FortiData aims to strengthen data security in Fortinet security fabric and ensure that sensitive data is adequately protected at the endpoint, edge, on-premise, and in the cloud, whether the data is in transit or at rest.

This guide intends to help you navigate and leverage the features of FortiData and guide you through the process of creating scan tasks, configuring scan policies, and adding custom data types.