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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
6/11/2020 | 12:17:08 PM
From my understanding, most of the printers are behind firewalls; however, if there is lateral/horizontal movement, the end-user or admin has bigger problems that need to be addressed (per the statement made by the speaker). In certain instances, I can see where certain cameras might be affected because they are connected directly to the internet (traffic cameras) and some of their IP Addresses are made public, but I am not sure how many IOT devices are connected directly to the internet. There is a site on the web that indicates a number of devices connected directly to the internet but that is part of another conversation - https://www.shodan.io/explore
I do see limitations in the statements made but it is possible, we just need to remain vigilant. A possible remidy would be to connect using SHA Hash 256 to the OS because the system could determine if the hash was found on the network or a token process where a PIN is used (a number of printers have this capability but most people don't use it).
Todd