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No blobs, no hidden firmware features, and no secret closed source processors.
This concept isn't "unhacakable", rather we believe it to be the most fixable; this is what users and hackers should ultimately be fighting for.
In this talk, I will present methods of privilege escalation on IBM z/OS: How to leverage a simple access to achieve total control over the machine and impersonate other users.
If you are interested in mainframes or merely curious to see a what a shell looks like on MVS, you're welcome to tag along.
In an analogous fashion, we demonstrate an AI agent that has learned through thousands of "games" against a next-gen AV malware detector which sequence of functionality-preserving changes to perform on a Windows PE malware file so that it bypasses the detector.No math or machine learning background is required; fundamental understanding of malware and Windows PE files is a welcome; and previous experience hacking Atari Pong is a plus.Hyrum Anderson Hyrum Anderson is technical director of data scientist at Endgame, where he leads research on detecting adversaries and their tools using machine learning.Other interests include SDR and RF exploration, networking, cryptography, computer history, distributed computing...really anything that sounds cool that I happen to stumble on at 3am.Saturday at in Track 4 20 minutes | Demo Much of next-gen AV relies on machine learning to generalize to never-before-seen malware.