BEGIN:VCALENDAR
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METHOD:PUBLISH
X-WR-CALNAME:VeTSS
X-ORIGINAL-URL:https://vetss.org.uk
X-WR-CALDESC:Events for VeTSS
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BEGIN:VTIMEZONE
TZID:UTC
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TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20251027T090000
DTEND;TZID=UTC:20251027T170000
DTSTAMP:20260418T170104
CREATED:20251008T122001Z
LAST-MODIFIED:20251017T123549Z
UID:3814-1761555600-1761584400@vetss.org.uk
SUMMARY:Specialist Meeting on AI Technologies for Code Vulnerability Detection
DESCRIPTION:As part of an NCSC-backed research initiative\, Surevine and VeTSS are seeking diverse expertise from academia\, startups and industry to discuss evaluation frameworks\, self-hostable architectures\, data sovereignty\, and emerging techniques/products in this field. \nWe invite leading experts to contribute to a workshop exploring AI/LLM applications across the Software Development Lifecycle (SDLC) for improving security and identifying security vulnerabilities. \nPrimary Focus  \nStatic Analysis and Testing: Applying LLMs for vulnerability detection and mitigation suggestions (e.g.\, during SAST) \nSecondary Areas \n\nDynamic Testing (DAST) – ML/LLM support for runtime vulnerability detection\nCode Creation – Security-aware IDE plugins preventing common pitfalls\nCode Reviews – LLM assistance for independent code review processes\nTesting – Automated generation of security-focused unit/integration tests\nProduction Monitoring – Vulnerability detection in live systems\nImpact Metrics – Measuring AI-enabled detection effectiveness vs. conventional methods\n\n Date: 27 October 2025 \nVenue: TechUK\, London (10 St Bride Street\, EC4A 4AD)
URL:https://vetss.org.uk/event/specialist-meeting-on-ai-technologies-for-code-vulnerability-detection/
LOCATION:TechUK\, 10 St Bride Street\, London\, EC4A 4AD\, United Kingdom
CATEGORIES:Other Events
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