Dataiku and Cloudwick announce Technology Partnership to Improve Cybersecurity

Dataiku and Cloudwick announce Technology Partnership to Improve Cybersecurity

Cloudwick's new, first-of-a-kind cybersecurity platform solution combined with Dataiku DSS enables teams to explore, prototype, build, and deliver their own data-driven solutions, including threat analysis, reporting, and more.

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Press Release:

NEW YORK, NY – October 3, 2016 - Cloudwick, the leading open source services and solutions provider, has today announced a technology partnership with advanced analytics software maker, Dataiku, to advance cybersecurity. Cloudwick has launched its Cloudwick Data Analytics Platform (CDAP) for Cybersecurity that, combined with Dataiku Data Science Studio (DSS), enables teams to explore, prototype, build, and deliver their own data-driven solutions, including threat analysis, reporting, and more.

CDAP is a managed cybersecurity data hub platform that ingests and stores trillions of events from PCAP, Netflow, Proxy, IDS/IPS logs, syslog and firewall logs for advanced cybersecurity. CDAP is the first big data cybersecurity platform to provide complete threat visibility, replay and analysis for the Security Operations Center (SOC) analyst, forensic analyst and data scientist. CDAP is offered as both a managed data center and cloud data hub for cybersecurity.

"Today's cybersecurity solutions lack the capabilities required to provide complete cyber threat visibility, data democratization for IDS, IPS, SIEM and advanced analytics due to ingestion, compute and storage limitations," said Mani Chhabra, Cloudwick CEO. "CDAP modernizes enterprise and service provider cybersecurity and provides a new level for threat detection and prevention."

Built on Intel Xeon technology and Cloudera's industry leading Hadoop distribution Cloudera Enterprise, CDAP provides a turnkey cybersecurity data hub platform that provides new cybersecurity capabilities from leading advanced analytic vendors and open source machine learning projects like Apache Spot, and it enhances and extends the capabilities of SIEMs, IDS, IPS, Snort and other traditional tools.

By partnering with Dataiku and enabling the Dataiku DSS advanced analytics software platform on CDAP, teams can explore, prototype, build, and deliver their own data-driven solutions, including threat analysis, reporting, and more.

"For organizations that need tailored data security, Dataiku DSS and CDAP enable teams to build their own," said Florian Douetteau, CEO and co-founder of Dataiku. "There are specific environments, such as healthcare and financial, in which a custom security solution is required, whether for compliance or procedural reasons. CDAP simplifies cybersecurity and enables organizations to develop their own solution. Dataiku is proud to partner with Cloudwick to provide businesses flexibility in this way."

"We are redefining how cyber threats are handled and a partner ecosystem is a critical asset to our strategy and customers," said Thaddeus Blake, Cloudwick VP of Alliances. "We're excited to partner with Dataiku and other independent software vendors who want to develop applications on top of CDAP to deliver increasingly valuable insight to global enterprises so they stay ahead of today's growing cybersecurity threats."

To learn more visit: www.dataiku.com and www.cloudwick.com

About Cloudwick

Cloudwick is the leading provider of bimodal digital business services and solutions to the Global 1000. Its offering, Cloudwick One®, includes solutions such as business intelligence modernization, data science, big data pilot-to-production, IoT and mobile application development, cloud, data pipeline and more, enabling data-driven enterprises like 3M, Bank of America, Comcast, Home Depot, Intuit, JP Morgan, NetApp, Target, Visa, and Walmart to gain competitive advantage from open source, big data, cloud and advanced analytics.

About Dataiku

Dataiku develops Dataiku Data Science Studio, the unique advanced analytics software solution that enables companies to build and deliver their own data products more efficiently. Thanks to a collaborative and team-based user interface for data scientists and beginner analysts, to a unified framework for both development and deployment of data projects, and to immediate access to all the features and tools required to design data products from scratch, users can easily apply machine learning and data science techniques to all types, sizes, and formats of raw data to build and deploy predictive data flows.

More than 100 customers in industries ranging from ecommerce, to industrial factories, to finance, to insurance, to healthcare, and pharmaceuticals use Dataiku DSS on a daily basis to collaboratively build predictive dataflows to detect fraud, reduce churn, optimize internal logistics, predict future maintenance issues, and more. Dataiku has offices in Paris, New York, and in the Bay Area.

Dataiku raised $3.7 million this year from two investors to grow its sales and tech team and international development initiatives. www.dataiku.com

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