Counteract Cyberattacks and Fraud with Streaming Analytics Webinar

Detecting and defending against cyberattacks and fraud requires fast analysis of large, diverse data sets. In this Security Webinar, Stephanie Balaouras, Forrester Vice President and Research Director serving Security and Risk professionals, and Steve Wilkes, co-founder and CTO of Striim, discuss today’s security challenges and how to combat them with real-time data integration and streaming analytics. Watch Now.

Streaming Analytics Resources

Video
Striim’s end-to-end streaming data integration and intelligence platform enables instant insights to help organization’s make faster business decisions.
Video
Learn about today’s security challenges and how streaming analytics is being used to combat cyberattacks and fraud.
Analyst Report
The Gartner 2017 Market Guide for In-Memory Computing Technologies identifies application leaders in In-Memory computing and shares key findings. See why Striim is a recognized leader.
DataSheet
Learn more about Striim’s end-to-end data integration and intelligence platform and the problems it solves.

Featured Resources

  • The Gartner 2017 Market Guide for In-Memory Computing Technologies identifies application leaders in In-Memory computing and shares key findings. See why Striim is recognized as a leading vendor, and the only vendor to do so in a single, end-to-end platform.
  • An overview of the Striim platform and outline of a few common technical use cases where customers leverage the Striim platform to solve critical enterprise challenges.

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About Striim

Striim™ (pronounced “stream”) is an enterprise-grade, real-time integration + intelligence platform. Striim makes it easy to create streaming data pipelines – including change data capture – for real-time log correlation, cloud integration, edge processing, and streaming analytics. Companies worldwide use Striim to deliver real-time analysis and visualizations for fraud/cybersecurity, customer experience/QoS, replication risk management, and Internet of Things (IoT) analytics. For more information, please visit www.striim.com

For more information, please visit www.striim.com.