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Open Source Innovation Accelerates Cloudera’s Machine Learning at Scale

By   /  July 31, 2017  /  No Comments

by Angela Guess

According to a recent press release, “Cloudera, the leading provider of the modern platform for machine learning and advanced analytics, announced the availability of Apache Spot 1.0 (incubating), which enables fast, easy, and more scalable cybersecurity machine learning. Spot is a community-driven cybersecurity project, built to bring advanced analytics to all IT Telemetry data on an open, scalable platform. Since Cloudera’s cybersecurity solution is built on Spot, this open source release strengthens the solution allowing enterprises to more effectively accelerate advanced threat detection at scale. Spot provides a community based approach to cybersecurity allowing organizations to collaborate across industries while simultaneously changing the economics of cybersecurity.”

Tom Reilly, chief executive officer at Cloudera, commented, “Taking advantage of community based open source innovation and collaboration to strengthen our solutions and deliver customer value is at the heart of Cloudera’s strategy… With the release of Spot 1.0, we are excited to deliver a community-developed platform with which enterprises can protect themselves and collaborate with peer organizations in detecting cyber attacks in the hyper-connected world they operate in.”

The release goes on, “The Spot open source project delivers visibility into security threats by providing advanced threat detection using machine learning and advanced analytics. Spot is built on top of Cloudera’s platform leveraging Apache Spark and Hadoop, optimised for Intel hardware, and provides the ability to ingest and store high volumes of IT telemetry data for advanced threat detection with machine learning, accelerated threat investigation with complete contextual information at analyst finger tips, and a future-proofed open source infrastructure that changes the economics of cybersecurity.”

Read more at PRwire.

Photo credit: Cloudera

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