Dataguise Enhances DG for Hadoop Wwith Selective Encryption

Dataguise
Inc. announced DG
for Hadoop v4.3.

This solution provide both masking and
selective encryption for data in major Hadoop distributions, it
allows organizations to determine the appropriate remediation
technique based on privacy requirements. It also delivers
capabilities including contextual-based search to identify sensitive
data in unstructured files, management with automatic notifications
and audit reporting to demonstrate compliance.

Organizations are exploring the
advantages of Hadoop and its ability to enable the analysis of data
patterns previously inaccessible. However, compliance and security
officers are mindful of the information located in these data
repositories and the lack of controls to prevent unauthorized access.
Traditional approaches to securing Hadoop fail because they are too
complex, expensive, and incapable of protecting the data that matters
in these large and diverse environments. This solution provides a
method for determining where and how to secure data in Hadoop.

DG for Hadoop v4.3, part of the
DgSecure suite of products, identifies the characteristics of big
data, processing multiple TBs of structured, unstructured and
semi-structured data in a few hours to protect data at the source,
during ingestion and in the Hadoop Distributed File System.

Features available in the latest
generation include:

• Selective
  encryption: Complementing Dataguise
  masking technology for configurations where data mining needs to
  operate on actual data values. It
  uses symmetric key based encryption of data and also encrypts the
  encryption keys themselves for stronger security.

• Contextual-based
  data discovery: The contextual-based
  data discovery capability uses a ‘neural-like
  network‘ approach
  for data search instead of a simple ‘rule-based‘
  approach. As a result, information surrounding a given string is
  correlated and complex inferences are made to determine whether that
  string is relevant to the search.

• Consistent
  masking across
  a single or multiple Hadoop clusters:
  This capability preserves analytical value of information for trend
  analysis and aggregations.

• Simplified
  management: DG for Hadoop provides
  automatic notifications so that security personnel can be alerted by
  e-mail or SMS when a job is completed or when changes occur.

• Compliance audit
  reports: Reporting
  that compliance auditors can integrate in their analysis of the
  company’s overall compliance process and posture.

According to Gartner, "Dataguise
DG for Hadoop is a security offering of great value in an insecure
platform, which Hadoop certainly is today."

DG for Hadoop is deployed across
Fortune 200 institutions and built for the enterprise to evaluate
exposure risks and enforce the appropriate remediation to prevent
unauthorized access, financial penalties and negative brand impact.
It allows the user to define and detect the data in a Hadoop
installation that is sensitive in nature (credit card numbers, social
security numbers, account numbers, personally identifiable
information, etc.), analyze the company’s risk from the exposure of
that data and protect the information with masking or encryption so
the data can be used safely.

"The various distributions of
Apache Hadoop provide a high performance platform for managing large
volumes of data, helping organizations harness the potential of big
data to make informed decisions," said Ashar Baig, founder and
principal analyst, Analyst Connection. "For security
solutions to be effective in this environment requires both the
ability to secure the information effectively and do so without
significant impact to operational performance. DG for Hadoop is a
sophisticated solution that addresses these areas to provide the
assurance and confidence in dealing with sensitive data."

"With Hadoop deployments
projected to grow in an upward direction for the foreseeable future,
the threat to organizations that do not adopt a comprehensive
approach to securing this data remains high," said Manmeet
Singh, CEO, Dataguise. "DG for Hadoop provides a feature set
unmatched by comparable alternatives, helping users benefit from the
promise of big data without the potential risks."