Informatica uses behavioral analytics to spot and protect high risk data

Informatica uses behavioral analytics to spot and protect high risk data

By | June 2nd, 2017
No Comments

With increasing amounts of sensitive data stored in the cloud and accessed

on mobile devices, protecting that information presents a major challenge.


														
							

Data management specialist Informatica is adding to its Secure@Source platform with behavioral analytics to detect high risk data and ensure it’s properly protected.

Key features include automated and integrated sensitive data discovery, proliferation analysis, detection of anomalous user activities, multi-factor data risk analytics, and automated orchestration of remediation in a single platform.

It covers cloud, Hadoop and legacy environments, and can support diverse and complex data classifications, proliferation and risk analytics, user access and activity correlation, user behavior analytics (UBA) and orchestration support for a full range of data protection technologies.

Secure@Source is aimed at helping businesses achieve reduced risk of data breaches and misuse through more proactive and intelligent sensitive data risk monitoring. It also offers increased support for data privacy compliance mandates such as GDPR, HIPAA and FINRA, plus low total cost of ownership thanks to a comprehensive single platform.

Source

Google
Nisheeth Bhakuni

\devworx in print
  • IBM Open Platform with Apache Hadoop Get access to all data, in Hive, HBase or HDFS; within a single query (Big SQL). Let Bluemix™ enable you to play with IBM’s Analytics for Hadoop. Try it now.
    Click to know more
  • \devworx contests
      • No contests are currently running.