As security breaches are becoming more frequent and sophisticated, traditional security solutions are not able to protect company assets. Organizations realize that just putting up walls around data is no longer enough protection. CIOs are trying to avoid security related incidents from impacting service level agreements (SLAs). It is estimated that 92 percent of security breaches go undetected. 1 What’s needed today is deeper insight into the data being generated every day, to identify threats by monitoring and analyzing all events across the network in real time. However, this results in the generation of large amounts of security-related data that must be stored and analyzed. In addition, increased regulations require storing and archiving security event data for longer time periods to comply with more stringent regulations.
It’s no wonder that the information security function needs better analytics to proactively identify threats and reduce risk. Leading analysts estimate that by 2016 nearly 25 percent of global companies will have adopted big data analytics for security use cases, with a positive return on investment within six months. Key benefits of security analytics include reduced likelihood of fines and lawsuits, greater levels of automation to meet compliance and audit mandates, and minimal maintenance overhead for IT.
The MapR Distribution including Hadoop enables organizations to analyze unlimited amounts and types of data in real time, widen the scale/reach, and accelerate the speed of threat analysis.
"We initially got into centralizing all of our data from an information security perspective. We then saw that we could use this same environment to help with fraud detection."
-Zions Bank, SVP, Fraud Operations and Security Analytics
MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports a broad set of mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified distribution for Hadoop. MapR is used by more than 500 customers across financial services, government, healthcare, manufacturing, media, retail and telecommunications as well as by leading Global 2000 and Web 2.0 companies. Investors include Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures.
Supports multiple business groups and applications in one cluster without conflicts.
Fast responsive access to data and higher throughput.
Direct Access NFS.
Direct data ingestion, familiar access methods, existing tools/libraries continue to work.
Built-in data access controls.
Disparate user groups and data by logical volumes.
Job placement control and resource management.
Jobs run simultaneously in the same cluster.
High availability and disaster recovery.
Business continuity and higher business-level service level agreements.
Consistent snapshots with point-in-time audits and recovery.
Support for structured, semistructured, and unstructured data.
All data in the enterprise data architecture.
"Before we had this platform, it was very hard for people to work together to derive intelligence from the security data. We had some intelligence there, but it was mostly isolated. This Hadoop solution is a kernel of the whole security ecosystem within Cisco."
-CISCO, Technical Leader, Threat Research, Analysis, and Communications (TRAC)