Cybersecurity Insights
Unleash the Power of Detection Models to Detect Abnormal Behavior
Martin Roesch is the CEO of Netography, Inc. Martin is a pioneer in the industry as one of the first entrepreneurs to successfully commercialize open-source software in addition to creating the global standard for describing and detecting network-based attacks. In 2001 he founded Sourcefire, serving as CEO/CTO, acquired by Cisco for $2.7 billion which he then joined to lead the Security Business Group as Chief Architect.
He is the original author and lead developer of the Snort Intrusion Detection and Prevention System that formed the foundation for the Sourcefire product suite. He holds a B.S. in Electrical and Computer Engineering from Clarkson University.
Martin Roesch joined us today to talk about Threat detection models and how they detect anomalous behavior.
So, the world that we're in now is dispersed, ephemeral, encrypted and diverse, we call this deed environments and that is really what the modern enterprise is built around...
In this episode of Cybersecurity Insights, Martin discusses:
- How Netography use detection models to detect anomalous behavior and how they are different and have a competitive edge?
- Atomized networks provide customers with geographically dispersed computing environments.
- Detecting threats based on network flow data is a useful tool, but there are certain classes of threats that require an additional layer of defense.
