Big Data y Machine Learning de Cloudera para Security Information Event Management (SIEM) - ERP Spain.com - España y América Latina

Security Information Event Management (SIEMs) systems have become the go-to application for cybersecurity practitioners, but it doesn’t come without a hefty cost or tradeoffs.

These costs can include historic data being unreachable, advanced analytic limitations, and reduced enterprise visibility.

Pairing SIEMs with a big data machine learning platform allows enterprises to proactively assess risk by accelerating anomaly detection, investigation, and response with machine learning and complete enterprise visibility. 

Join TJ Laher, Cybersecurity Solutions Lead, as he discusses how big data and machine learning empowers cybersecurity innovators to optimize SIEM deployments.

During this discussion, you will learn how open source technology is helping optimize SIEM deployments allowing organizations to:

• Infinitely scale data storage, access, and machine learning

• Deploy a community defined open data model to break vendor lock-in and gain complete enterprise visibility

• Open up application flexibility while building on a future-proofed architecture