Engineering teams are shipping faster than ever, driven by AI-assisted development and rising delivery pressure. But legacy SAST tools weren’t built for this velocity — or for today’s massively distributed, multi-language codebases. Static scanners create friction, miss critical vulnerabilities, and slow down modern development workflows.
This session explores why legacy SAST approaches stall, and how multi-agent AI analysis combined with expert human validation delivers accurate, high-signal security insight—strengthening assurance and meeting strict data-handling requirements without disrupting developers.
Key Takeaways
- Real examples of where static scanning alone fails, and how organisations are fixing the gap.
- Why traditional SAST tools create noise, miss real vulnerabilities, and slow engineering down.
- How multi-agent AI and expert validation remove false positives and increase assurance.
- What AI-generated code introduces — and why legacy scanners can’t keep up.
- How to give developers accurate, actionable security feedback directly in their workflow.
