Data Classification Software

Discover & Classify Sensitive Content to Mitigate Risk with FileCloud

Get Free Trial → Payment details are not required
Client Logo
Client Logo
Client Logo
Client Logo
Client Logo

Intelligent Classification: Organize and Secure Enterprise Content

Identify Sensitive Data & Reduce Exposure

Find sensitive content, such as Personally Identifiable Information (PII), Protected Health Information (PHI), and Payment Card Information (PCI), quickly and easily. Use federated search to find content across user and team folders.

Smart Classification + DLP = Automated Compliance

Our Smart Content Classification and DLP help mitigate the risk of data breaches and increase productivity by automating file tagging and organization. They also support compliance with regulations such as HIPAA, FINRA, ITAR, and GDPR.

Powerful Content Classification Engine

FileCloud’s Smart Classification is powered by an automated metadata- and content-scanning engine. The engine can be paired with artificial intelligence to simplify classification for unique enterprise needs.

Gartner Per Insights Logo 2018
Gartner Per Insights Logo 2019
Gartner Per Insights Logo 2020
Gartner Per Insights Logo 2021
Gartner Per Insights Logo 2022

FileCloud has received the Gartner Peer Insights Customers’ Choice Distinction for the fifth consecutive time!

92% of our customers would recommend us to a friend.

Rating Stars Image 4.5

Classify Data with FileCloud Smart Content Classification & DLP Rules

With the amount of enterprise data being shared globally, a good content classification solution should be able to discover sensitive content, automate the application of data governance policies, and help mitigate data leaks without interrupting business operations.

FileCloud is a powerful content classification and governance platform that can be deployed on-premises, in the cloud, or as a hybrid solution. With public and private sharing, granular access permissions, and unlimited external user accounts, FileCloud offers fine-tuned tools to help enterprises collaborate securely.

Smart Content Classification and Data Leak Prevention (DLP)

Smart Classification and DLP rules in FileCloud support data visibility and governance by scanning files upon upload, tagging with relevant metadata, and applying governance policies. This automated process achieves several key objectives:

  • Removes the administrative burden (and risk of human error) that comes with manual labeling and organization of new information introduced to the environment.
  • Streamlines data visibility and policy application for greater efficiency and productivity.
  • Provides robust security coverage to files as soon as they are uploaded to the FileCloud environment, including access and sharing permissions, data leak prevention, and retention policies.
  • Supports compliance with data privacy and protection regulations such as GDPR, HIPAA, FINRA, NIST, and PDPL, among others.

Classify Data Accurately and Automate Policy Applications

FileCloud’s Smart Content Classification tool can be leveraged to identify sensitive content and apply necessary security and governance policies.

Once an admin creates a classification rule and deploys it in the environment, the content classification engine automatically scans, organizes, and tags uploaded content with relevant metadata. This process then triggers other governance tools in FileCloud, including data leak prevention and retention policies.

FileCloud already supports a vast library of pre-built metadata patterns, including PII such as credit card numbers, passport numbers, driver’s license numbers, and social security numbers. Admins can also create custom metadata sets to suit unique data visibility needs.

Creating a classification rule is simple. Admins can create rules using two distinct methods: with the RegEx (Regular Expression) builder or with the no-code visual builder. To ensure the rule performs as anticipated, a simulator runs the rule against sample text of your choice and displays the results.

FileCloud Content Classification - Rules Playground

FileCloud and Artificial Intelligence

FileCloud can also integrate with OpenAI, a third-party Large Language Model (LLM) provider. With this integration, admins can leverage AI to classify content, even for complex queries, based on natural language.

Once classification rules are established and deployed, maintaining data visibility and governance is a simple process of monitoring and tweaking as needed to trigger metadata-based policies, such as DLP, file retention, activity alerts, and automated workflows, among other powerful FileCloud settings.

Categorize Data in a Few Clicks

Categorize data in minutes with built-in rules that identify sensitive data, including PII, PHI, and PCI. Create custom rules to find other data that matters to your organization.

Reduce Exposure

Protect sensitive files by removing permissions from global access groups, blocking IP addresses or specific users, or allowing only internal users or authorized users to access confidential content.

Granular Permissions

Share files with your team and partners with public, private, and password-protected links. Secure your data with granular sub-folder level permissions, and view documents safely with built-in preview system.

Unlimited, Free Client Access

FileCloud offers free, unlimited external accounts to support enterprise sharing and collaboration with clients, vendors and contractors. Only pay for your employee accounts.

Advanced Audit Capabilities

FileCloud keeps track of complete audit logs (what, when, who, where and how). Detailed share analytics and logs of file uploads, downloads, deletions, and previews are available any time in your client portal.

Secure Document Sharing

FileCloud ensures secure document sharing with enterprise-grade security tools (e.g., Zero Trust File Sharing, granular access permissions, identity authentication, retention policies) within an intuitive UI.

Start Free Trial!

Detect Documents with US Social Security Numbers in 3 Easy Steps

As a use case for content classification software, FileCloud allows you to detect documents with US social security numbers and permit sharing only to certain domains in just a few easy steps.

  1. Enable PII metadata set with FileCloud built-in pattern for U.S. social security numbers.
  2. Create classification rule to automatically scan and tag all files that contain matching content.
  3. Create a Smart DLP rule that allows files with the PII attribute defined in step 1 to be shared only with email addresses that contain the company domain. Thus, sharing to all other email addresses/domains will be denied before the file ever leaves the environment.

“We liked FileCloud’s pricing, comprehensive feature set (branding, encryption) and the responsive support.”

Why Choose FileCloud?

  • Self-host on-premises or deploy in the cloud.
  • Connect with existing windows file shares and NTFS permissions.
  • Integrate with Active Directory and Single Sign-on tools.
  • Empower admins with device management capabilities (inventory + remote wipe/block).
  • Leverage built-in and custom metadata sets to classify files using tags.
  • Apply file retention policies, classification, and DLP rules to create robust data governance.
  • Maintain accountability and transparency with the admin dashboard, detailed audit log, reports, and much more.
  • Extend your brand with unparalleled customization, including the domain, logo banner, login screen, and email communications.
  • Set granular security and permissions at folder and subfolder levels.
  • Provide desktop and offline file access with a virtual network drive and selective sync.

Learn more about our advanced file sharing features by touring FileCloud!

"We tested about five other solutions like Team Drive, OwnCloud and LeitzCloud. In the end, FileCloud won that battle."


13785 Research Blvd, Suite 125
Austin TX 78750, USA

Phone: +1 (888) 571-6480
Fax: +1 (866) 824-9584


FileCloud Technologies Limited
Hamilton House 2,
Limerick, Ireland

Copyright © FileCloud. All Rights Reserved.