Do you have confidence you can prevent 100 percent of intrusion attempts? If not, how doyou find attackers once they get in? Trying to do detection with the same signature-basedtechniques that attackers circumvent is a fool's errand. Instead, active breach detectionutilizes machine learning techniques to profile what is normal on your network, andthrough integrated analysis of your network and endpoints exposes anomalous attackerbehaviors. These behaviors are inherent to any successful attack, and if spotted early canensure effective response and prevent damage. This webcast will discuss the role of activebreach detection and the SANS Analyst Program review of the LightCyber Magna Platform andits intrusion detection features.
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View the associated white paper here.