Amazon Macie
Amazon Macie is a data security service that discovers sensitive data by using machine learning and pattern matching, provides visibility into data security risks, and enables automated protection against those risks. Macie automates the discovery of sensitive data, such as personally identifiable information (PII) and financial data, to provide you with a better understanding of the data that your organization stores in Amazon S3.
APIs
Amazon Macie API
The Amazon Macie API provides programmatic access to create and manage the resources, data, and activities for discovering, classifying, and protecting sensitive data stored in ...
Capabilities
Amazon Macie - Data Security Operations
Workflow capability for security and compliance teams to discover sensitive data, investigate findings, and manage data security posture in Amazon S3 using Amazon Macie.
Run with NaftikoFeatures
Automatically discovers and classifies sensitive data in S3 using ML and pattern matching.
Detects personally identifiable information (PII), financial data, and credentials in S3 objects.
Create custom regex patterns to detect organization-specific sensitive data types.
Generates detailed findings with severity ratings for all detected sensitive data exposures.
Provides visibility into bucket configurations, encryption status, and public access settings.
Manage Macie across multiple AWS accounts from a central administrator account.
Define allow lists to suppress false positives for known acceptable sensitive data patterns.
Use Cases
Discover and inventory personal data across S3 to support GDPR data mapping and compliance reporting.
Detect credit card numbers and financial data stored in S3 to maintain PCI-DSS compliance.
Identify sensitive data stored in public or insufficiently protected S3 buckets.
Quickly determine if sensitive data was exposed in an S3 bucket involved in a security incident.
Build a data inventory and understand where sensitive data lives across the organization.
Integrations
Scans S3 buckets to discover and classify sensitive data objects.
Sends findings to Security Hub for centralized security posture management.
Publishes findings events to EventBridge for automated remediation workflows.
Integrates with Organizations for multi-account sensitive data discovery.
Publishes metrics and logs to CloudWatch for monitoring and alerting.