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UID:pretalx-bsides-exeter-2026-G3FQ8F@pretalx.com
DTSTART;TZID=GMT:20260425T103000
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DESCRIPTION:In today’s interconnected world\, achieving complete software
  security is extremely challenging\, as vulnerabilities continue to provid
 e opportunities for exploitation. Buffer overflow attacks remain among the
  most enduring and impactful forms of software exploitation\, enabling adv
 ersaries to manipulate program execution and gain unauthorized access. Alt
 hough significant countermeasures such as stack canaries\, Address Space L
 ayout Randomisation (ASLR)\, and non-executable memory protections have be
 en developed\, buffer overflows persist due to legacy codebases\, low-leve
 l programming practices\, and the constant evolution of attack strategies.
  Recent advances in Generative Artificial Intelligence (Gen-AI) introduce 
 a new dimension to defensive cybersecurity research and offers potential a
 s a countermeasure through enhanced vulnerability detection\, automated se
 cure code generation\, and the ability to adapt defensively to dynamic att
 ack patterns. This project specifically evaluate the dangers of buffer ove
 rflows attacks and effectiveness of Gen-AI models in guarding against them
 \, with a focus on recent vulnerabilities such as CVE-2025-6660 and CVE-20
 25-6191.
DTSTAMP:20260501T070548Z
LOCATION:Seminar Room 7
SUMMARY:Buffer Overflows in the era of Gen-AI - Maxime Reynaud
URL:https://pretalx.com/bsides-exeter-2026/talk/G3FQ8F/
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