Security With AI And Machine Learning

Security With AI And Machine LearningAll Indian Reprints of O'Reilly are printed in Grayscale.' webkit tap highlight color: transparent; color: rgb(102, 102, 102); font family: "Open Sans"; font size: 13px; margin top: 0px; margin bottom: 0px; padding: 6px 0px; background color: rgb(255, 255, 255);'For security professionals seeking reliable ways to combat persistent threats to their networks, theres encouraging news. Tools that employ AI and machine learning have begun to replace the

All Indian Reprints of O'Reilly are printed in Grayscale.'-webkit-tap-highlight-color: transparent; color: rgb(102, 102, 102); font-family: "Open Sans"; font-size: 13px; margin-top: 0px; margin-bottom: 0px; padding: 6px 0px; background-color: rgb(255, 255, 255);'For security professionals seeking reliable ways to combat persistent threats to their networks, theres encouraging news. Tools that employ AI and machine learning have begun to replace the older rules- and signature-based tools that can no longer combat todays sophisticated attacks. In this ebook, Oracles Laurent Gil and Recorded Futures Allan Liska look at the strengths (and limitations) of AI- and ML-based security tools for dealing with todays threat landscape.This high-level overview demonstrates how these new tools use AI and ML to quickly identify threats, connect attack patterns, and allow operators and analysts to focus on their core mission. you'll also learn how managed security service providers (MSSPs) use AI and ML to identify patterns from across their customer base.