How to Detect Zero Day Attacks with an Analytics-Driven SIEM

Zero day attacks are one of the most insidious security attacks for analysts to detect and mitigate. Because there are no published reports on them, security analysts have no idea what to look for. And because of the creativity of attackers, there are any number of ways for that attack to occur, and any possible number of bad outcomes for not quickly identifying it. Organizations have to be vigilant in observing and monitoring networks, systems, and traffic to identify attacks of unknown intent and composition. The pressure of zero day attacks on organizations and their security personnel is enormous, because of the uncertainties surrounding the type of attack and the vulnerability being exploited. This webinar describes zero day attacks and provides examples of attacks that have had significant consequences to organizations. It discusses how SIEMs using machine learning algorithms can be used to analyze traffic to quickly identify potential attacks and enable security analysts to mitigate those attacks before they cause harm to IT systems. Attendees will learn: 1. Why zero day attacks can have a devastating impact on organizations. 2. Why zero day attacks are so difficult to identify. 3. How SIEMs using machine learning can enable organizations to quickly identify such attacks.