Presented by
Geoff Mattson & Randy Franklin Smith
Webinar Replay | Exploring the Three Major Threat Detection Methods
About this talk
How do you effectively detect attacker activity within your organization? At first, this question may seem overwhelming when you think of all the different ways we use detection technologies and the logs they consume, but you can classify them into 3 types:
Signature
Behavior
Machine Learning
In this webinar, Geoff Mattson, founder of MistNet, and Randy Franklin Smith of Ultimate Windows Security, dove into these 3 detection methods. The experts compared and contrasted Signature, Behavior and ML and demonstrated real world examples of each. You can learn where each method is most appropriate and the limitations of each.
More from this channel
Upcoming talks (1)
On-demand talks (257)
Subscribers (76931)
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