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Cyber Security Startup Niara Unveils Security Intelligence Solution Powered By Big Data Analytics

by Dataconomy News Desk
June 2, 2015
in BI & Analytics, News
Home Topics Data Science BI & Analytics
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Sunnyvale, Calif. – June 2, 2015 – Cyber security startup Niara emerged from stealth today to unveil its Security Intelligence solution, the first of its kind to combine advanced security analytics and forensics to help security teams quickly surface sophisticated cyber threats within their organization. Built on a big data architecture, the Niara Security Intelligence solution analyzes security data from disparate sources to ensure that security teams can quickly identify and respond to sophisticated, multistage attacks that regularly thwart existing monitoring and response solutions.

Enterprises increase spend on cyber security tools each year because existing solutions cannot protect against the growing number of sophisticated attacks. According to a recent report by the Ponemon Institute, it takes over three months to discover advanced threats for financial services firms, and over six months for retail organizations. These sophisticated attacks remain undetected because existing monitoring and response tools lack complete access to a network’s disparate data silos – providing inadequate visibility into an organization’s threat exposure and leaving them vulnerable to compromise.

The Niara Security Intelligence solution takes a holistic approach by integrating behavioral analytics and raw, data level analytics with deep forensics to enable compromised user discovery, identification of malicious insiders, threat hunting and incident investigation by:

  • Table of Contents

    • Operating on disparate data sources
    • Taking an entity-centric view
    • Providing one-click access to a comprehensive forensic trail
    • Leveraging existing data stores

    Operating on disparate data sources

    including logs, flows, packets, alerts and threat feeds to surface threats and risky behaviors that remain undetected by log-based analytics alone

  • Taking an entity-centric view

    of an organization’s threats by monitoring not only users, but also devices and applications to collect and discover threat information. Combined with Niara’s ability to profile entity behaviors by threading together disparate events and surfacing them as a multistage attack, teams have a complete view of an organization’s risk posture

  • Providing one-click access to a comprehensive forensic trail

    and analytics in the same solution to simplify and accelerate threat discovery and incident investigation

  • Leveraging existing data stores

    without the need to recreate or duplicate data

“The threat landscape is continuously evolving and enterprises need a way to discover and investigate advanced threats inside their network faster and more efficiently,” said Sriram Ramachandran, CEO of Niara. “Niara’s Security Intelligence solution is designed from the ground up to leverage analytics and forensics from disparate data sources, providing unprecedented views into an organization’s network. This fundamentally elevates their threat discovery, incident investigation and breach response capabilities, reducing risk and helping them stay out of the headlines.”

 


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About Niara

Niara aggregates security data from disparate sources, ensuring that security teams can identify and quickly respond to sophisticated, multistage attacks that regularly thwart legacy detection technologies. Niara’s Security Intelligence solution delivers contextually relevant security analytics by fusing data from disparate sources to discover compromised users, provide insight into malicious insiders, enable advanced threat hunting efforts, and efficiently investigate incidents. Headquartered in Sunnyvale, Calif., the company is backed by NEA, Index Ventures and Venrock, and prior to emerging from stealth, Niara announced a $20m Series B funding round led by Venrock in April 2015, bringing its total capital raised to $29.4m. For more information, visit www.niara.com.


 

Image Credit: kris krüg / Manufactured security / CC BY-SA 2.0

Tags: Big DataCyber SecurityNiara

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Comments 2

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    7 years ago

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