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X-LIC-LOCATION:America/New_York
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20260819T173712Z
LOCATION:Room 308
DTSTART;TZID=America/New_York:20260818T103000
DTEND;TZID=America/New_York:20260818T113000
UID:share_SHARE Pittsburgh 2026_sess183_TECH106@linklings.com
SUMMARY:Security Considerations for Implementing GenAI on z/OS
DESCRIPTION:Gil Peleg (Geniez AI)\n\nBefore you roll GenAI on the mainfram
 e out, are you asking the right security questions?\n\nThis session cuts t
 hrough the excitement and gets practical. As organisations begin integrati
 ng Generative AI capabilities into their z/OS environments, a new set of s
 ecurity challenges comes with it and the stakes on the mainframe are too h
 igh to learn lessons the hard way.\n\nWe'll take a hands-on, no-nonsense l
 ook at what you actually need to think about before and during a GenAI imp
 lementation. From ensuring your existing RACF controls extend effectively 
 to AI workloads and data access, to understanding the very real risks of p
 rompt injection and model manipulation This session will give system progr
 ammers and security teams a shared language and a practical framework for 
 getting it right.\n\nYou don't need to be an AI expert to follow along. If
  you're responsible for keeping z/OS secure, this session is built for you
 .\n\nWhat we'll cover:\n- Extending RACF and access control principles to 
 GenAI workloads\n- Understanding prompt injection - what it is, why it mat
 ters on the mainframe, and how to mitigate it\n- Practical steps to harden
  a GenAI implementation without killing its usefulness\n- Where the bigges
 t risks are hiding and how to get ahead of them\n\nTrack: Machine Learning
 /AI, Security and Compliance, z/OS Systems Programming, Soft Skills\n\nAud
 ience Level: All Audiences\n\nLearning Objectives: Modernize Data Manageme
 nt and Analytics\n\nSession Chair: John Pinkowski (Broadcom)\n\n
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