As digital-native companies scale, engineering velocity becomes inseparable from security. Cloud-native architectures, rapid deployments and AI-enabled development have transformed how teams ship software but they’ve also expanded the attack surface faster than traditional security models can keep up.

Today, the challenge isn’t just detecting risks.

It’s understanding which risks matter, closing the gap between Dev and Security and enabling AI safely without slowing innovation.

Wiz, in partnership with St. Fox, invites you to an exclusive roundtable for founders and technology leaders from India’s unicorn and soonicorn ecosystem. This discussion will explore how high-growth teams can secure from code to cloud, prioritize what matters, and integrate security without creating friction for developers.

This gathering brings together Founders, CISOs, CTOs and Engineering leaders to discuss:

  • How teams are moving security earlier in the development lifecycle without adding friction
  • Breaking down the real-world challenges between developers and security teams in high-velocity environments
  • Modern approaches to understanding risk in cloud-native systems beyond traditional scanning and checklists
  • Securing distributed architectures across containers, serverless and multi-cloud deployments
  • What safe and scalable AI/GenAI adoption looks like for engineering-driven organizations
  • Strengthening the AI lifecycle from data sourcing to deployment as model usage expands across products and operations

This is a candid, experience-driven conversation focused on what’s working and what high-velocity organizations must prioritize in 2026.

Agenda
5:15 to 6:00
Registration & Sit-down Coolers
6:00 to 6:10
Welcome note by St. Fox
6:10 to 6:30
Keynote By Executive Speaker
6:30 to 6:45
Icebreaker Session
6:45 to 7:30
Roundtable Discussion
Moving upstream: How to catch risks early, ship securely, and foster true Engineering-Security collaboration
The Power of Context: Why understanding "toxic combinations" is essential for allocating engineering resources efficiently
The AI frontier: Balancing rapid innovation with robust guardrails for AI workloads and models
7:30 to 8:00
Demo
8:10 onwards
Dinner, Cocktails & Networking
Registration