Technology that detects and prevents sensitive data — like credit card numbers, health records, or personal information — from being accidentally or maliciously shared, leaked, or stolen. Like having an automated customs officer that inspects everything leaving your organisation.
Amazon Macie uses machine learning to scan S3 buckets for personally identifiable information (PII) and alerts security teams if sensitive data is exposed publicly.
All four help discover and reduce exposure of sensitive data. AWS Macie focuses on finding sensitive data in S3 using ML and managed patterns. Microsoft Purview DLP focuses on policy-based prevention across Microsoft 365 endpoints (Exchange, SharePoint, OneDrive, Teams) and can extend to apps via connectors. Google Cloud Sensitive Data Protection provides inspection, classification, and de-identification (masking/tokenization) for data in apps and pipelines. OCI Data Safe focuses on discovering, classifying, and auditing sensitive data in Oracle Databases; it is closer to database security and data discovery than broad endpoint DLP.