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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
10/30/2016 | 12:41:23 PM
Considering they telephoned me, and considering that the number they were calling from was not a telephone number known to me to be associated w/ my carrier, I refused. The huffy person on the other end of the line appeared put out.
I then called my insurance company on the number I knew to be correct to ask them about it. Unfortunately, it's such a big bureaucracy that I couldn't even get through to someone who could even tell me whether or not the call was legitimate for sure.
Because my insurance company was so bureaucratic and stupid, I wouldn't put it past them to have such stupid practices -- but it's also just as likely (at least) that it was a malfeasor's bit of social engineering. In any case, nothing bad happened to me because I refused to "verify" my information.
People calling you asking you to "verify" your information is the slightly more sophisticated social-engineering equivalent of someone calling you and after you say hello, the other person on the line immediately says, "Who's this?" YOU CALLED ME. >:P