Why Traditional Security Fails the FinServ Speed Test
Date: Thursday, March 19 at 8am PT / 11am ET
How to operationalize AI security for faster development, real risk reduction, and sustained governance in regulated environments
As AI-generated code and autonomous workflows accelerate software delivery across financial services, they also expand the attack surface in ways traditional security was never designed to handle. For security leaders, the speed-versus-risk dilemma has never been more acute. Periodic scans, manual triage, and fragmented tools are becoming the bottleneck - forcing a dangerous choice between slowing innovation or accepting unacceptable risk.
Join us for this session as we explore why legacy AppSec models fail in the age of AI - and how financial services organizations with strict compliance requirements can operationalize AI security to stabilize development, reduce real risk, and sustain governance as AI adoption scales.
Key Takeaways:
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Securing AI-generated code at speed
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Why developer-first, secure-at-inception guardrails are essential to managing AI-generated risk without slowing innovation.
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From backlogs to real risk reduction
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How to move beyond severity-driven triage to focused, AI-accelerated remediation—so teams fix what actually matters and fix it faster.
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Governance that scales with AI
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How financial services organizations can maintain auditability, policy enforcement, and measurable security outcomes today — while laying the foundation for future orchestration and automation.
Register now!
About the presenter:
Kate Burke, Senior Product Manager at Snyk
Date: 03/19/2026
Time: 8:00 AM PT