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Amazon S3 • Data Discovery • Classification

Discover and Protect Sensitive Data Across Amazon S3.

BigID connects securely to Amazon S3 to discover, classify, and contextualize sensitive, regulated, proprietary, dark, and business-critical data across buckets, objects, files, archives, and cloud data environments.

Understand where sensitive data lives, identify public and overexposed content, connect findings to identities and permissions, and extend consistent security, privacy, governance, and lifecycle controls across AWS.

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Amazon S3 Data Coverage

How Does BigID Protect Data in Amazon S3?

BigID connects to Amazon S3 to inspect data stored within buckets and objects, classify sensitive and regulated content, identify access and exposure risk, and connect findings to security, privacy, governance, retention, and remediation workflows.

Content Discovery Inspect supported files, objects, exports, archives, and unstructured cloud content.
Sensitive Classification Identify personal, financial, regulated, confidential, proprietary, and custom-defined information.
Exposure Context Connect sensitive data to public access, broad permissions, identities, and risky configurations.
Governed Action Use findings to support remediation, retention, deletion, labeling, reporting, and policy enforcement.

Coverage Across Amazon S3

Discover Sensitive Data Across Cloud Storage at Scale.

BigID helps teams understand what data is stored in Amazon S3, how sensitive it is, who can access it, and which exposures require action.

01

Storage

S3 Buckets and Objects

Inventory and inspect supported content stored across buckets, prefixes, folders, objects, data exports, and cloud repositories.

Visibility into

Bucket locations, object content, sensitivity, ownership, permissions, and exposure.

02

Content

Structured and Unstructured Data

Identify sensitive information within documents, spreadsheets, exports, logs, application data, text files, and other supported formats.

Visibility into

Personal data, financial data, regulated records, confidential content, and custom-defined information.

03

Access

Permissions and Exposure

Connect sensitive content to identities, roles, policies, broad access, public exposure, inherited permissions, and external access paths.

Visibility into

Public buckets, anonymous access, overprivileged identities, cross-account access, and risky access combinations.

04

Lifecycle

Retention, Age, and Data Value

Understand stale, redundant, obsolete, and over-retained content to support minimization, deletion, retention, and storage optimization.

Visibility into

Data age, last activity, retention relevance, business value, ownership, and remediation opportunities.

The BigID Advantage

Go Beyond Bucket Inventory With Data-Aware Risk Context.

BigID connects Amazon S3 discovery with sensitivity, identity, access, activity, ownership, age, policy, business value, and remediation.

Cloud Data Intelligence

Understand What the Data Contains—not Just Where It Is Stored.

BigID inspects supported S3 content to identify sensitive data, connect it to permissions and identities, prioritize exposure, and support action across security, privacy, governance, and compliance.

Content-Level Classification Analyze supported objects and files to identify sensitive, regulated, confidential, proprietary, and business-critical data.
Access Risk Context Connect sensitive data to public access, broad permissions, identities, roles, policies, and cross-account exposure.
Dark Data Discovery Identify unknown, forgotten, stale, redundant, and unmanaged data stored across AWS accounts and cloud environments.
Policy Alignment Apply common security, privacy, retention, residency, and governance policies across Amazon S3 and other enterprise systems.
Prioritized Remediation Focus teams on the highest-risk data using sensitivity, exposure, access, ownership, age, and business context.
Enterprise-Wide Coverage Use consistent classification across AWS, SaaS, cloud storage, databases, collaboration platforms, and AI environments.

Technical Advantages

Scalable Amazon S3 Coverage Without Moving Your Data.

BigID provides cloud-native discovery and classification designed for large, distributed, and multi-account AWS environments.

01

Content-Based Scanning

Inspect supported files and objects to identify sensitive, regulated, confidential, and proprietary content.

02

Cloud-Native Connection

Connect to Amazon S3 using approved AWS identities, roles, and permissions without endpoint agents.

03

Access Intelligence

Relate sensitive data to bucket policies, identities, roles, public access, cross-account access, and permission exposure.

04

Unified Classification

Apply consistent classification across Amazon S3, SaaS, collaboration systems, databases, cloud platforms, and AI data.

Amazon S3 Data Protection

Strengthen Cloud Data Security Across Amazon S3.

Discover sensitive data, identify public and excessive access, prioritize risk, and extend policy-driven governance across AWS storage environments.

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Amazon S3 Data Coverage

Amazon S3 Discovery and Classification Frequently Asked Questions.

What Amazon S3 data can BigID discover?

BigID can inventory and inspect supported files, objects, exports, archives, logs, documents, and structured and unstructured content stored across Amazon S3 buckets and cloud environments.

Does BigID inspect object content or only metadata?

BigID performs content-based inspection for supported object and file formats. It can analyze actual data values in addition to metadata such as bucket, path, ownership, and object attributes.

Can BigID identify publicly exposed S3 data?

BigID can help connect sensitive data findings to public access, broad permissions, identities, roles, bucket policies, and other exposure conditions so teams can prioritize remediation.

Does BigID require agents on AWS workloads?

BigID connects to cloud data sources using approved identities, roles, permissions, and APIs. It does not require endpoint agents on employee devices to discover Amazon S3 content.

Can BigID classify custom or proprietary data?

Yes. In addition to common personal and regulated data types, organizations can use BigID classification capabilities to identify confidential, proprietary, industry-specific, and custom-defined information.

How can Amazon S3 discovery results be used?

Organizations can use BigID findings to support sensitive-data inventories, DSPM, access governance, privacy, compliance, retention, deletion, labeling, reporting, and remediation workflows.

Amazon S3 Data Intelligence

Get Clear Visibility Across Amazon S3.

Discover sensitive data across buckets and objects, understand access and exposure, apply consistent classification, and move from cloud visibility to governed action.

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