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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: Ninja
3/23/2018 | 10:32:04 AM
A core problem is that the concept of a website has changed so dramatically. Rarely is - A - website - A - place, or the site owner -THE - provider of code and content; or the sole, or even primary, consumer of data extracted from the visitor. Don't leave out the parts played by (and motivations of), browser vendors or the web-search providers.
Together, these factors contribute to a diffusion of responsibility for what happens to a "site" visitor - in terms of security, privacy and experience. The result is that nobody accepts responsibility.
Is what we have really what we want? We'll have to look closely at the interplay of motivations that brought us to this situation; and then look at how we might rework the site-visitor-browser paradigm.