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Less well appreciated, however, is that machine learning can be susceptible to attack by, ironically, other machine learning models.
In this talk, we demonstrate an AI agent trained through reinforcement learning to modify malware to evade machine learning malware detection.
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.
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.
A giant mammoth that still powers the most critical business functions around the world: The Mainframe!