Big Data Security Solutions

Sensitive Data may Reside Anywhere in the Big Data Lake

Insights are the primary reason to build a Big Data Lake, but lack of attention to security can expose your sensitive data to security breaches. Source data used for mining and knowledge discovery typically includes private and sensitive information. Unfortunately, many organizations hesitate to employ security – and more specifically, encryption – when it comes to Big Data. They are concerned about deploying at scale or impeding the analytics tools that make these solutions valuable in the first place.

Lack of Effective Access Control

Unauthorized access to sensitive data can not only result in financial loss, identity theft, and reputational damage, but it can also run your organization afoul of regulatory compliance. Privileged users are granted substantial access to corporate network resources to be able to perform their routine duties. However, if these users are malicious, or if their credentials are stolen, it can lead to a major data breach and significant problems.

Data Privacy Violations

Big data frequently comes from multiple sources at a high velocity, volume, variety, and degree of complexity. It is no secret that privacy violations from internationally originated data are a major concern for companies that deal with Big Data.

Enabling Control and Agility

The CipherTrust Data Security Platform offers data discovery and classification, granular access controls, robust encryption, tokenization and centralized key management that organizations need to secure sensitive data across their Big Data environments — including data sources, infrastructure, and analytics. Make the most of Big Data analytics with confidence that the collected and mined data, including that which is sensitive, is protected.

Creating a Trusted Platform for Cryptographic Processing

Given the high level of risk involved when handling exponentially growing volumes of sensitive data, it is critical to protect it from compromise with Big Data encryption. Cryptography and key management are tried-and-true data protection technologies, and Thales CipherTrust Big Data security solutions secure Big Data and build trust for digital assets.

Delivering Big Data Security

Thales provides the solutions you need to keep sensitive data in Big Data Lake secure, even in the event of a breach. With CipherTrust Platform, you apply data protection where you need it, when you need it, and how you need it — according to the unique requirements of your business. Thales and its technology partners offer integrated Big Data security solutions that enable enterprises to take full advantage of the benefits offered by Big Data analytics, while significantly reducing the risk of compromising sensitive data.

Achieve Compliance

The CipherTrust Data Security Platform provides a common, scalable infrastructure that supports compliance requirements, data discovery, and classification with data protection for data-at-rest using access management and authentication, encryption, enterprise key management, tokenization, access controls, and security intelligence across Big Data environments. You can use this solution to comply with regulations and industry standards calling for encryption and access control.

Prevent Privileged-User Threats

The CipherTrust Data Security Platform provides the fine-grained, policy-based access controls, including Hadoop granular user access controls, which restrict access to encrypted data. These allow only approved access to data by processes and users as required to meet strict compliance requirements.

Achieve Robust Security

Make the most of Big Data analytics with confidence that the collected and mined data, including that which is sensitive, is protected.