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UID:pretalx-le-tour-du-hack-2026-GBRHXN@speak.enusec.org
DTSTART:20260516T172000Z
DTEND:20260516T175000Z
DESCRIPTION:AI models like Mythos are finding exploitable vulnerabilities f
 aster than the industry can disclose\, patch\, or write signatures for the
 m. The inevitable consequence: a flood of 0-days in the wild. Every signat
 ure-based detection you own is\, by definition\, blind to them. This talk 
 makes the case that statistical anomaly detection is no longer an optional
  "ML in security" side quest. It's the only class of detection that can ca
 tch the exploitation of things nobody knows exist yet. Drawing on producti
 on experience building ML detection\, we'll cover what works\, what doesn'
 t\, and why your UEBA tab isn't going to save you.
DTSTAMP:20260514T134208Z
LOCATION:Track 1
SUMMARY:No Signature\, No Problem: Detecting the Coming 0-Day Flood - Aidan
  McLaughlin
URL:https://speak.enusec.org/le-tour-du-hack-2026/talk/GBRHXN/
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