BOULDER, Colo.—November 8, 2012—LogRhythm, the largest and fastest growing independent Security Information and Event Management (SIEM) provider in the world, and Ultimate Windows Security (UWS), a site devoted to spreading knowledge and understanding of Windows security, IT audit and compliance, will host a webinar on how organizations can improve anomaly detection in security logs on Thursday, November 15, at noon EST. Randy Franklin Smith, UWS security expert will conduct this “real training for free” webinar and Seth Goldhammer, LogRhythm director of product management will join him as co-host.
What:
“The Challenge of ‘Normal’: 2 Ways to Improve Anomaly Detection in Security Logs” webinar
In this webinar, Smith and Goldhammer will discuss how organizations can analyze multiple dimensions of event data and use various algorithms to improve an organization’s current definition of “normal.” They will identify six different “dimension categories” that can be used to define normal behavior and four analysis techniques, as well as explore various use cases.
When:
Thursday, November 15, 12:00 p.m. – 1:30 p.m. EST
**Who: **
Randy Franklin Smith, Ultimate Windows Security Windows security subject matter expert
Seth Goldhammer, LogRhythm director of project management
About LogRhythm
LogRhythm helps security teams stop breaches by turning disconnected data and signals into trustworthy insights. From connecting the dots across diverse log and threat intelligence sources to using sophisticated machine learning that spots suspicious anomalies in network traffic and user behavior, LogRhythm accurately pinpoints cyberthreats and empowers professionals to respond with speed and efficiency.
With cloud-native and self-hosted deployment flexibility, out-of-the-box integrations, and advisory services, LogRhythm makes it easy to realize value quickly and adapt to an ever-evolving threat landscape. Together, LogRhythm and our customers confidently monitor, detect, investigate, and respond to cyberattacks. Learn more at logrhythm.com.