PALO ALTO, Calif.,
July 24, 2017
/PRNewswire/
-- Cloudera, (NYSE:
CLDR), 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
scaleable 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.
"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,"
said Tom Reilly, chief executive
officer at Cloudera. "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."
Cloudera Plus Apache Spot Power Machine Learning
Cybersecurity Applications
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, optimized
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.
Highlights from the Spot 1.0 release (incubating)
include:
- Improved machine learning performance with Spot's upgrade
to Apache Spark 2.1.
- Better run times and model performance for all DNS,
proxy, and NetFlow workloads due to improvements to the Suspicious
Connects open source machine learning models.
- Tighter integration with Cloudera's platform to take
advantage of Cloudera components while enhancing the Apache Spot
open data model.
"It is difficult for cybersecurity teams across
enterprises to collaborate when it comes to sharing threat
intelligence and acting upon it. Spot is a platform designed to
facilitate such collaboration starting with a shared common data
model against which community developed machine learning algorithms
can be run," said Sam Heywood,
director of Cybersecurity Strategy at Cloudera. "While threat
intelligence feeds are extremely important in the fight against
cyber criminals, we need to extend our analytics sharing
capabilities to make sure we are detecting advanced behavioral
anomalies. Apache Spot is an award winning technology community and
project that is doing just that. Cloudera is playing its role by
helping organizations take advantage of the open source project
while making it easier to secure, manage, and scale community
innovation in the cloud or on-premises."
Cloudera's cybersecurity solution, built on Apache
Spot, uses advanced machine learning to baseline normal enterprise
behavior across networks, endpoints, and users in order to see
anomalies within the enterprise. Creating a single pane of glass
for complete contextual security data allows for organizations to
store multiple years worth of data at a lower cost while
accelerating threat investigation and response. As
cybersecurity threats become more mature and unique, organizations
are in need of an open source approach to extend enterprise
visibility while laying the foundation for advanced machine
learning threat detection.
By joining the Apache Spot community, Cybraics, a leader
in applying AI techniques to cybersecurity, can access and share
information to help push in this line, advancements into the open
source community and at the same time deliver results to their
customers in less time," said Alan
Ross, CTO Cybraics and Apache Spot Founder. "As a
contributor to Apache Spot, Cybraics will be sharing new analytics
with the community."
Meet us at Black Hat booth #1748 to see Apache Spot
in action.
About Cloudera
Cloudera delivers
the modern platform for machine learning and advanced analytics
built on the latest open source technologies. The world's
leading organizations trust Cloudera to help solve their most
challenging business problems by efficiently capturing, storing,
processing and analyzing vast amounts of data. Learn more
at cloudera.com.
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owners.
This press release contains forward-looking statements
including, among other things, statements regarding the expected
performance and benefits of Cloudera's offerings. The words
"believe," "may," "will," "plan," "expect," and similar expressions
are intended to identify forward-looking statements. These
forward-looking statements are subject to risks, uncertainties, and
assumptions. If the risks materialize or assumptions prove
incorrect, actual results could differ materially from the results
implied by these forward-looking statements. Risks include, but are
not limited to, risks described in our filings with the Securities
and Exchange Commission (SEC), including our Form S-1 Registration
Statement, and our future reports that we may file with the SEC
from time to time, which could cause actual results to vary from
expectations. Cloudera assumes no obligation to, and does not
currently intend to, update any such forward-looking statements
after the date of this release.
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SOURCE Cloudera