Imperva Extends its Data Security Fabric to Include Enterprise Data Lakes Built on AWS

Provides a powerful yet simple and streamlined experience for securing data lakes built on AWS that is available in AWS Marketplace

Imperva, Inc., a comprehensive digital security leader, announces that its award-winning Imperva Data Security Fabric (DSF) now provides data-centric protection and compliance for enterprise data lakes built on Amazon Web Services (AWS). Imperva reinforces its commitment to securing data and all paths to it by allowing AWS customers to secure their data with one comprehensive platform, leveraging a unified security model across Amazon Aurora, Amazon Redshift, Amazon Relational Database Service (Amazon RDS), Amazon DynamoDB, Amazon Athena, and AWS CloudFormation without requiring any changes to their existing data infrastructure.

“AWS allows organizations to quickly and securely build solutions that help them to reach new markets and deliver new services to end users”

Many security teams have gaps in their resources and domain expertise required to ensure their data lake meets organizational compliance and security policies. In particular, organizations must be able to simultaneously identify when a compromised user accesses sensitive data, while also preventing data from being stolen by malicious insiders. These gaps can mean that organizations must choose between limiting the data they store in a data lake, and putting themselves at risk of non-compliance, or in the worst-case scenario, a data breach.

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Imperva Data Security Fabric addresses these challenges by first discovering data lakes defined and cataloged using services like AWS Lake Formation and AWS Glue. It identifies sensitive data stored across services like Amazon S3, Amazon Redshift, and Amazon RDS by leveraging its internal data classification engine, or by importing classification scans from Amazon Macie, to identify where sensitive data is stored. Imperva DSF collects data access logs from services like Amazon CloudWatch to audit when a user is accessing raw data files stored in Amazon S3 or executing analytic queries against the data using services like Amazon Athena, or Amazon EMR.

Imperva DSF includes User Entity Behavior Analytics (UEBA) models that can identify suspicious data access patterns, such as excessive access to sensitive records, the use of privileged service accounts by interactive users, and suspicious network connections. This helps organizations automatically identify and detect potential data breaches without the need for specialized data security analysts. Finally, with Imperva DSF, security operations teams can create playbooks to automatically mitigate threats using native AWS features like security groups or revoking user access using AWS IAM. This ensures organizations stay in compliance while also helping to prevent data breaches.

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Comprehensive Data Security

From one holistic dashboard, Imperva DSF delivers a broad range of data security capabilities – including data discovery, classification, monitoring, access control, risk analytics, compliance management, security automation, threat detection, and audit reporting. This makes it easier for customers to protect the migration of sensitive data, including Personally Identifiable Information (PII) like customer names, email addresses, phone numbers, and gender, and adhere to privacy regulations, such as the General Data Protection Regulation (GDPR), Payment Card Industry Data Security Standard (PCI-DSS), and the Health Insurance Portability and Accountability Act (HIPAA).

Tens of thousands of organizations build data lakes on AWS and configure AWS Lake Formation, AWS Identity and Access Management (IAM), and Amazon Simple Storage Service (Amazon S3) policies to secure access to them. Imperva DSF leverages services like AWS Lake Formation and AWS Glue to discover data lakes, monitor how users query and access stored data, and detect and prevent malicious user access and data leakage incidents. Imperva DSF also safeguards critical data workloads across all of their databases, file repositories, data warehouses, multicloud, and data lake environments.

Imperva Data Security Fabric can be deployed directly in any AWS Regions using pre-built AWS CloudFormation templates. Once deployed, Imperva DSF will begin discovering and monitoring data lakes. More than 400 pre-defined vulnerability assessment tests are available for cloud databases on AWS. Also, Imperva DSF takes the complexity out of deciding which baselines to establish by including policies based on Center for Internet Security (CIS) and Defense Information System Agency’s (DISA) Security Technical Implementation Guide (STIG) benchmarks that are adapted for the cloud.

“AWS allows organizations to quickly and securely build solutions that help them to reach new markets and deliver new services to end users,” says Dan Neault, SVP and GM, Data Security, Imperva. “Imperva Data Security Fabric gives organizations building data lakes on AWS a streamlined experience for securing data, and confidence that their data lakes are in compliance.”