BigID for AWS

Automatically discover, manage, and protect your AWS data

Privacy, Security, and Governance for AWS

Get actionable data intelligence for data discovery, privacy, security, and governance in AWS.  BigID enables organizations to proactively manage, protect, and get more value from their data at scale – with support for Athena, Aurora, S3, DynamoDB, HIVE on AWS, EMR, RDS, RedShift, Kinesis, and more. With BigID organizations can:

  • Gain visibility, manage and protect your sensitive data in AWS
  • Facilitate compliant cloud and data lake migration
  • Enable broader adoption of AWS services, big data, and analytics functionality

BigID + AWS Integration Benefits

  • Comprehensive Cloud Data Discovery

    Discover and classify data across an expanded range of AWS services including S3, RDS, DynamoDB, Redshift, Neptune, and beyond. Scale to thousands of AWS accounts with multi-account discovery and cloud-native scanning. Support hybrid environments with flexible architecture optimized for performance and cost through AWS Graviton.

  • Automate Security & Compliance

    Fulfill data privacy and security requirements through ML-driven discovery and classification across cloud data sources. Leverage AWS PrivateLink for secure connectivity and integrate with AWS Security Hub for unified compliance monitoring. Enable compliant AI/ML innovation by protecting sensitive data in training datasets and knowledge bases.

  • Strengthen Data Protection

    Detect and remediate data risks across AWS environments through dual scanning capabilities and real-time monitoring. Secure data access with IAM role integration and AWS Secrets Manager. Protect against misconfigurations and enforce consistent security controls across multi-account deployments.

  • Modernize Data Governance

    Transform data governance with automated discovery and classification across the entire AWS ecosystem. Gain complete visibility into data landscapes to enable secure cloud migration and data lake initiatives. Enhance data context and trust through advanced correlation and tagging capabilities.

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Automate Compliant Cloud Migration

Align policies & controls with data insights when migrating or moving workloads. Integrate with IAM roles and AWS Encryption to automate compliant controls to stage migration & reduce risk architecture

360 Data Visibility

Find and inventory regulated, sensitive, personal, and critical data in data lakes, big data, and unstructured data at scale via ML and correlation. With BigID you get comprehensive data mapping and granular attribute classification per data source.

Take Action with Apps

Take action for data privacy, protection, and perspective to manage, protect, and act on AWS data – including data retention, data remediation, access intelligence, and more.

AWS Security Hub Integration

BigID’s integration with the AWS Security Hub seamlessly populates events into the Console generated by BigID’s ongoing policy-driven monitoring of personal data processing across AWS services. The integration enables customers to extend their existing Security Hub investments and its workflow capabilities to proactively address emerging data privacy compliance requirements.

AWS PrivateLink

AWS PrivateLink creates a secure and private network connection to services hosted on AWS from your virtual private clouds (VPCs) or on-premises locations. As an AWS PrivateLink Service Ready Partner, BigID customers can opt to connect to their AWS data sources via AWS PrivateLink, reducing internet exposure while keeping their data secure, compliant, and accessible.

AWS Graviton

BigID local scanners support AWS Graviton, including Cloud native scanners, EKS scanners, and EC2-based scanners. BigID’s Graviton support optimizes data discovery across cloud environments, balancing cost-effectiveness with scanning performance at scale across 10+ AWS Services.

AWS Control Tower Integration

Deploy BigID in your AWS Control Tower environments to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across your data landscape.

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