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CALSCALE:GREGORIAN
PRODID:adamgibbons/ics
METHOD:PUBLISH
X-PUBLISHED-TTL:PT1H
BEGIN:VEVENT
UID:UyHHbff4qZuZ9D0eXQLM-
SUMMARY:Lessons from the bleeding edge of AI/ML security
DTSTAMP:20260513T113354Z
DTSTART:20260522T092500Z
DESCRIPTION:Description:\nLarge Language Models have moved from research cu
	riosity to production reality at a pace that has left security teams scram
	bling. Organizations are racing to integrate LLMs into agentic browsers\, 
	AI-integrated development environments\, customer service chatbots\, and i
	nternal knowledge systems – often without fully understanding the novel at
	tack surfaces they're introducing.\n\nThis talk examines security challeng
	es at the frontier of LLM adoption: Prompt injection attacks turning helpf
	ul assistants into unwitting accomplices\, data exfiltration risks hiding 
	within conversational interfaces\, and the dangers of giving AI agents the
	 ability to take real-world actions on behalf of users. Drawing from acade
	mic research\, real-world implementations\, and documented incidents\, thi
	s talk will discuss what's working\, what's failing\, and what companies n
	eed to understand as these systems become embedded in critical workflows.\
	n--------------------------------\n\nSpeaker:\n- Keith Hoodlet\n\n--------
	------------------------\n\nTalk details:\n- Link to the Big Techday websi
	te: https://bigtechday.com/en/talks#6mEhk9SpfhzKaRIDmlhAZi\n
LOCATION:Strietzel
DURATION:PT50M
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