A classifier trained for privacy, so developers don’t need to be
Accelerate data labeling tasks
Reduce mapping effort with ML suggestions
Reduce manual data labeling effort and increase annotation accuracy for any mapping effort with Fides Classify’s automated classification of datasets across your cloud and enterprise.
Global sensitive data taxonomy
Sensitive data categories for global regulations
Automatically classify sensitive data types according to global regulations with confidence, using Fides open-source taxonomy of major global governance and data protection regulations.
Streamlined ML developer tools
Integrate classification in existing workflows
Make dataset classification an automated step in existing developer workflows to accelerate development delivery and maximize sensitive data discovery as part of existing CI/CD pipelines.
Integrate datasets in DSR
Use generated metadata in privacy requests
Generate datasets with precise labeling of sensitive data that can be automatically integrated into privacy request (DSR) automation tasks, creating a single source of truth suitable for privacy operations.
Detect metadata risks
Identify potential labeling mistakes or risks
Assist developers with faster data labeling tasks by automatically alerting differences in data labels between software development, staging and production environments.
Classify sensitive data everywhere
Fides’ open-source integration layer powers sensitive data discovery and classification across websites, cloud providers and third-party systems.
Ready to see Fides Classify in action?
See why growing companies trust Ethyca for privacy compliance.