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)