Features of Sensitive Data Protection
Sensitive Data Protection offers automated sensitive data discovery and classification, enabling you to continuously monitor your data assets, customize detectors, and create detection rules. It provides visibility into sensitive data and risks across your entire organization, reduces data risk with obfuscation and de-identification, and offers flexible API support for use cases on or off the cloud.
How Automatic Sensitive Data Discovery Works
To utilize Sensitive Data Protection, such as its automated discovery service, you can scan your data for sensitive elements. Post-scan actions like alerting and automatic publishing to systems like Chronicle, Security Command Center, and Pub/Sub can be enabled to ensure proactive data management.
Common Uses of Sensitive Data Protection
Common uses of Sensitive Data Protection include gaining awareness of your sensitive data, investigating your storage for structured and unstructured data, understanding sensitive anomalies through privacy risk analysis, and automating de-identification processes for structured and unstructured data.
Protecting AI and ML Workloads
Sensitive Data Protection offers robust tools to classify and de-identify sensitive elements within your data, ensuring data minimization for AI model training. This protection extends to workloads like chat, data collection, and generative AI prompts and responses, helping you adhere to regulations and internal policies.
De-identification and Data Security Practices
With Sensitive Data Protection, you can securely de-identify, mask, tokenize, and bucket your data, reducing data risk while maintaining data utility. This allows for column-level access, dynamic masking policies, and fine-grained data security practices.
Integration and Options with the DLP API
Sensitive Data Protection seamlessly integrates with the DLP API, enabling support for various Google Cloud services. Whether you need sensitive data discovery, storage inspection, content inspection, or content de-identification, the DLP API offers options for targeted, focused inspection and transformation of data in near real-time.
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