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How Machine Learning, AI & Deep Learning Improve CybersecurityMachine intelligence is influencing all aspects of cybersecurity. Organizations are implementing AI-based security to analyze event data using ML models that identify attack patterns and increase automation. Before security teams can take advantage of AI and ML tools, they need to know what is possible. This report covers:
-How to assess the vendor's AI/ML claims
-Defining success criteria for AI/ML implementations
-Challenges when implementing AI
Incident Readiness and Building Response Playbook
In this special report, learn the Xs and Os of any good security incident readiness and response playbook.
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1 Comments
User Rank: Apprentice
6/24/2015 | 1:35:07 PM
If something is vulnerable then you need to change it, trying to guess what the exploit will look like is often impossible or it just cannot be done from an external attack.
I would rather defend against an attack that is out there in the wild than something I might be vulnerable. I want to know does my IDS recognise real attacks and not spend my time guessing what an attack might look like. So, I defed against knives and guns but the Martian ray gun, not until one exists.