Increase the speed at which work can be completed with AI built into existing workflows.
Content intelligence uses AI to analyze and organize files based on their content, context, and usage. It supports data governance by providing visibility into sensitive information, reducing data sprawl, and helping enforce compliance policies across cloud and on-premise environments.
Businesses can reduce unstructured data risk by scanning files for sensitive information, such as PII or health data, and applying automated policies for access, classification, or retention. Content intelligence tools help uncover hidden risks and minimize exposure from unmanaged content.
AI-powered classification helps automatically categorize data based on sensitivity, usage, or compliance needs. This reduces the manual burden on IT teams, improves accuracy, and enables faster, more informed decisions around file access, storage, and policy enforcement.
Organizations can detect sensitive data by using tools that scan file repositories for specific data patterns (e.g., social security numbers, credit card info, or health records). These tools provide dashboards and alerts, helping teams manage access, track movement, and ensure compliance.
Automation helps manage the content lifecycle by flagging outdated or redundant files, applying retention policies, and enabling timely archiving or deletion. This reduces clutter, optimizes storage costs, and limits the surface area for potential data breaches.
Content intelligence supports compliance by continuously scanning files for regulatory-sensitive data, providing audit trails, and allowing policy-based actions. It enables organizations to stay ahead of regulations like GDPR, HIPAA, and CCPA by proactively managing at-risk content.
Yes, AI can analyze file access patterns and user behavior to detect anomalies, flag unusual activity, and prevent unauthorized access. This enhanced visibility allows organizations to identify potential threats early and take corrective actions faster.