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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.

We 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.

Primary Focus 

Static Analysis and Testing: Applying LLMs for vulnerability detection and mitigation suggestions (e.g., during SAST)

Secondary Areas

  • Dynamic Testing (DAST) – ML/LLM support for runtime vulnerability detection
  • Code Creation – Security-aware IDE plugins preventing common pitfalls
  • Code Reviews – LLM assistance for independent code review processes
  • Testing – Automated generation of security-focused unit/integration tests
  • Production Monitoring – Vulnerability detection in live systems
  • Impact Metrics – Measuring AI-enabled detection effectiveness vs. conventional methods

 Date: 27 October 2025

Venue: Central London location (to be confirmed)

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