1.Discover and protect sensitive data

Automatically classify, label, and protect sensitive data throughout its lifecycle with over 300 ready-to-use sensitive information types and AI-powered data classifiers.

2.Manage insider risks1

Detect insider risks like potential intellectual property theft, data leakage, and security violations using over 100 ready-to-use indicators and machine learning models—with privacy built in to protect user trust.

3.Prevent data loss

Proactively prevent accidental or intentional loss of sensitive data across apps, services, and devices, while effectively balancing security and productivity for your hybrid workforce.

4.Dynamically mitigate risk

Tailor protection controls based on user risk level to address data security risks quickly and proactively before they evolve into potential incidents.

5.Comprehensive visibility

Gain insight into user context and data—both structured and unstructured—across Microsoft Azure, AWS, cloud applications, and generative AI tools with industry-leading data security capabilities.

6.Seamless integration

Secure data end to end using solutions built on a single platform that includes a unified data map, intelligent data classification, extensive audit logs, and a streamlined policy engine.

7.AI-powered security

Uncover hidden risks and get ahead of potential data security incidents with Security Copilot, AI-powered data classifiers, risk detection, and risk-adaptive protection.