BigID connects securely to Amazon S3 using agentless integration to scan object content and associated metadata. It inspects actual data values inside S3 objects to identify sensitive and regulated information while correlating findings with access and exposure context.
BigID admite el descubrimiento en:
Discovery results integrate with governance workflows, risk prioritization, and enterprise-wide classification policies.
This architecture ensures scalable S3 data discovery across dynamic cloud environments.
S3 stores diverse file types across distributed buckets. BigID analyzes:
BigID inspects file content, not just object metadata, for high-confidence sensitive data identification.
BigID identifica y clasifica:
Classification applies consistently across S3 and the broader cloud ecosystem.
Cloud storage risk often stems from misconfigured buckets and excessive access.
BigID enhances S3 discovery with:
Security teams gain insight into where sensitive S3 data may be overexposed.
S3 environments can contain billions of objects.
BigID admite:
Organizations achieve scalable discovery without disrupting cloud workloads.
Inspects actual S3 object content and metadata to detect sensitive data accurately.
Supports large, distributed S3 environments with configurable scanning controls.
Identifies publicly accessible or over-permissioned sensitive objects.
Extends S3 discovery results across AWS, SaaS, data lakes, and AI environments.
Amazon S3 powers modern cloud storage and analytics. BigID ensures sensitive data across S3 remains visible, classified, and aligned to enterprise governance policies.
