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Sqrrl Launches Linked Data Analysis Platform

sqrrl_logoSqrrl, the Big Data Analytics company that develops software to uncover hidden patterns, trends, and links in data, has announced the launch of Sqrrl Enterprise 2.0.  The release of Sqrrl Enterprise 2.0 coincides with securing $7M of Series B financing, led by Rally Ventures and with participation by existing investors, Atlas Venture and Matrix Partners.

Sqrrl is at the intersection of two of the most important trends facing the enterprise: cybersecurity and Big Data,” says new Sqrrl investor, Zenas Hutcheson of Rally Ventures.  “Sqrrl’s technology can help both Fortune 1000 companies and government agencies prevent themselves from becoming the next cyber incident headline story.”

Extending its enterprise-class data platform, Sqrrl Enterprise 2.0 provides a full-stack security analytics solution for detecting and responding to advanced cybersecurity threats. Sqrrl unifies an organization’s security, network, endpoint, and user data into a single platform.  In doing so, security analysts can specify what’s important to them and visually navigate the relationships between assets and actors involved in a given event.

As the recent breaches at Anthem, Sony, and JP Morgan have shown, perimeter defense is not enough to defend against targeted, sophisticated attacks,” says Chris Lynch, partner at FKA (the firm formerly known as Atlas). Antonio Rodriguez, GP at Matrix Partners adds, “With Sqrrl 2.0, we are delivering a solution based on a modern scale-free architecture combined with the latest in graph analytics to uncover advanced threats. It’s a unique approach, and it couldn’t come any sooner.”

With Sqrrl’s linked data analysis platform, security professionals can detect and respond to advanced data breaches resulting from cyber-espionage, insider misuse, and other types of hard-to-detect attacks.  By uniting and storing various cyber datasets over extended time periods, Sqrrl Enterprise can also enable deep forensic investigations into attacks to help speed “mean-time-to-recovery”. At the core of Sqrrl’s architecture are a variety of Big Data technologies, including Hadoop, linked data analysis, machine learning, Data-Centric Security, and advanced visualization.

Our heritage is about putting Big Data technologies to work against hard, intractable problems,” says Sqrrl CEO Mark Terenzoni. “With the Sqrrl 2.0 launch we are focusing these capabilities on the challenges posed by the cybersecurity threats and vulnerabilities that nearly every organization faces today.”

Sqrrl is deployed at a variety of Fortune 500 companies and large government agencies.

 

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