Dynamic, Fine-Grained Authorization Secures Big Data

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Axiomatics, the leader in fine-grained dynamic authorization, announces the launch of the Axiomatics SmartGuard for Big Data, which enforces access to Big Data stores with a contextual, policy-based approach, to safeguard sensitive data.

Big Data, Axiomatics, Auhtorization

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As more enterprises use advanced business intelligence tools to monetize the data they’re collecting, potential security and privacy issues expand, as does the need to meet regulatory compliance.

Axiomatics, the leader in fine-grained dynamic authorization, today announced the launch of the Axiomatics SmartGuardTM for Big Data. SmartGuard for Big Data enables the world’s largest enterprises and federal government agencies to enforce access to Big Data stores with a contextual, policy-based approach, and thereby safeguard sensitive data. This breakthrough innovation introduces the only Big Data authorization solution to deliver true Attribute Based Access Control for Hadoop deployments.

When it comes to new technologies, security is often an afterthought. Big data is no different. A data breach of big data stores could lead to potentially disastrous consequences. Big Data and the potential exposure of mass quantities of Personally Identifiable Information (PII), intellectual property (IP) and other sensitive assets has made data-centric access controls a necessity. SmartGuard for Big Data helps organizations achieve fine-grained controls required to protect the massive amounts of sensitive data across the enterprise against data breaches and unauthorized access. It also provides dynamic data masking and data filtering protection of data at row and cell levels.

The Forrester Wave: Big Data Hadoop Distributions, Q1 2016 report estimates that 100 percent of all large enterprises will adopt Hadoop, the open-source distributed software platform for storing and processing data, or related technologies, for Big Data within the next two years. The wealth of information stored in big data environments are accessed by applications such as business intelligence tools across lines of business. This makes it imperative to dynamically control access with a centralized policy-based approach.

“As more enterprises use advanced business intelligence tools to monetize the data they’re collecting, potential security and privacy issues expand, as does the need to meet regulatory compliance” said Niklas Jakobsson, CEO of Axiomatics. “In many organizations where authorization is already in place, the commonly used coarse-grained, role-based access controls simply are not enough to meet security or compliance needs.”

SmartGuard for Big Data brings the benefits of externalized authorization and data filtering to Big Data environments like Hadoop. The benefits include enterprise-wide implementation and centralized management of access control policies, as well as a context-aware approach to authorization that streamlines access and filters/masks data based on not just a role, but also on any combination of custom attributes and policies.

“For organizations hoping to leverage big data to meet key business initiatives, fine-grained authorization is a powerful tool that can alleviate potential security risks,” said Jakobsson. “Using attributes to build policies also offers visibility and control thanks to centralized management of policies.”

For more information about SmartGuard for Big Data, read the latest blog post at http://www.axiomatics.com/blog/entry/the-big-data-security-challenge-1.html.

For more information about Axiomatics, please visit https://www.axiomatics.com or @axiomatics.

About Axiomatics
Axiomatics is the leading provider of fine-grained access control. Axiomatics' solutions are utilized by Fortune 1000 companies and government agencies around the world to share and safeguard sensitive information, meet compliance and minimize data fraud. To find out more about Attribute Based Access Control (ABAC) for applications and data-centric security for databases, or to request a demo of the Axiomatics Data Access Filter, please visit http://www.axiomatics.com.

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Lauren Russ
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