BEGIN:VCALENDAR CALSCALE:GREGORIAN VERSION:2.0 PRODID:-//Events Calendar//iCal4j 1.0//EN BEGIN:VTIMEZONE TZID:America/Los_Angeles LAST-MODIFIED:20260721T092906Z TZURL:https://www.tzurl.org/zoneinfo/America/Los_Angeles X-LIC-LOCATION:America/Los_Angeles X-PROLEPTIC-TZNAME:LMT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-075258 TZOFFSETTO:-0800 DTSTART:18831118T120702 END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19180331T020000 RRULE:FREQ=YEARLY;UNTIL=19190330T100000Z;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19181027T020000 RRULE:FREQ=YEARLY;UNTIL=19191026T090000Z;BYMONTH=10;BYDAY=-1SU END:STANDARD BEGIN:DAYLIGHT TZNAME:PWT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19420209T020000 END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PPT TZOFFSETFROM:-0700 TZOFFSETTO:-0700 DTSTART:19450814T160000 END:DAYLIGHT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19450930T020000 RDATE:19490101T020000 END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19480314T020100 RDATE:19740106T020000 RDATE:19750223T020000 END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19500430T010000 RRULE:FREQ=YEARLY;UNTIL=19660424T090000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19500924T020000 RRULE:FREQ=YEARLY;UNTIL=19610924T090000Z;BYMONTH=9;BYDAY=-1SU END:STANDARD BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19621028T020000 RRULE:FREQ=YEARLY;UNTIL=20061029T090000Z;BYMONTH=10;BYDAY=-1SU END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19670430T020000 RRULE:FREQ=YEARLY;UNTIL=19730429T100000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19760425T020000 RRULE:FREQ=YEARLY;UNTIL=19860427T100000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19870405T020000 RRULE:FREQ=YEARLY;UNTIL=20060402T100000Z;BYMONTH=4;BYDAY=1SU END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:20070311T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:20071104T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260906T141529Z DTSTART;TZID=America/Los_Angeles:20260625T100000 DTEND;TZID=America/Los_Angeles:20260628T110000 SUMMARY:AI Security Masters E10: READY OR NOT: Securing the AI Enterprise 2 /5 - AI Red Teaming LAST-MODIFIED:20260906T141529Z LOCATION: TZID:America/Los_Angeles UID:message-1258 DESCRIPTION:Click the link below to go to the event page:\nhttps://communit y.checkpoint.com/t5/CheckMates-Events/AI-Security-Masters-E10-READY-OR-NOT -Securing-the-AI-Enterprise/ec-p/277408#M1258\n\nAs AI moves into producti on\, the question shifts from “can we build it?” to “can we trust it?”    AI Red Teaming helps security teams proactively uncover safety and securit y failure modes before attackers do. Standard testing can miss the ways re al users\, adversaries\, and connected systems interact with AI applicatio ns and agents.     This session\, in collaboration with CheckMates\, walks through how adversarial testing works against real AI systems: scoping th e environment\, simulating real-world attack and misuse scenarios\, surfac ing vulnerabilities\, and building a continuous red teaming workflow as yo ur AI evolves.    What You’ll Learn  How AI Red Teaming differs from trad itional application testing  How to scope AI applications and agents for a dversarial testing  What kinds of AI-specific failure modes standard testi ng can miss  How security teams can turn red teaming findings into practic al remediation workflows  Register Now! X-ALT-DESC;FMTTYPE=text/html:

Click the link below to go to the event pag e:


https://community.checkpoint.com/t5/CheckMates-Events/AI-Security- Masters-E10-READY-OR-NOT-Securing-the-AI-Enterprise/ec-p/277408#M1258< BR>
As AI moves into production\, the question shifts from “can we build it?” to “can we trust it?” \;
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< SPAN>AI Red Teaming \;helps security teams proacti vely uncover safety and security failure modes before attackers do. Standa rd testing can miss the ways real users\, adversaries\, and connected syst ems interact with AI applications and agents. \; \;
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This session\, in collaboration wi th CheckMates\, walks through how adversarial testing works against real A I systems: \;scoping the environment\, simulating real-world attack and misuse scenarios\, surfacing vulnerabilities\, and b uilding a continuous red teaming workflow as your AI evolves. \;
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What You’ll Learn \;< /SPAN>
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Register Now!

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