Security with AI and Machine Learning



For security professional seeking reliable ways to combat persistent threats to their networks, there’s 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 today’s sophisticated attacks. In this ebook, Oracle’s Laurent Gil and Recorded Future’s Allan Liska look at the strengths (and limitations) of AI- and ML-based security tools for dealing with today’s threat landscape.  

Read the latest O’Reilly Media Book understand:

  • Why rules-based, signature-based, and firewall solutions have fallen short 
  • How automated bots enable cybercriminals and nation-state actors to attack your network 
  • The evolution of the botnet: how threat actors constantly change their attack strategy  
  • How AI and ML techniques in web applications help you observe, quantify, and classify inbound requests 
  • How to detect insider threats and advanced persistent threat actors with AI and ML tools 


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