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AI Security Summit
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| With CEOs Peter McKay (Snyk), Ian Livingstone (Keycard), Itamar Friedman (Qodo), Michael Payne (Dir. Innovation, JPMorgan Chase), Michael Jodha (VP, RBC), Sanjay Poonen (President, Cohesity), Taher Elgamal (Evolution Equity Partners). |
| Westin St Francis, 335 Powell St, San Francisco |
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Oct 22 (Wed) , 2025 @ 07:00 AM
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FREE |
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| DETAILS |
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Unlock the strategic imperative of AI security
A first-of-its-kind gathering of forward-thinking leaders, practitioners, & security teams to confront the "AI security chasm" head-on & build a foundation of trust for AI initiatives.
Leadership Track
Gain visionary insights from industry leaders, trusted researchers & AI trailblazers
Practitioner Track
Get hands-on guidance from experts to help you build your security-first approach to AI
Our Mission
The summit aims to inspire & provide practical knowledge on securing AI development. We bring together the brightest minds to tackle emerging threats & establish best practices for the next generation of AI systems.
Leadership Track
For Strategic Decision-Makers
Who Should Attend
AI Innovators & Thought Leaders
C-level Executives (CISOs & Security Executives, CTOs, CIOs, etc.)
VPs & Heads of Engineering, AI, Security, Platform, or Infrastructure
Overview
Vision & Connection: Laying the Secure AI Foundation
An exclusive half-day session on Oct. 22, 2025 featuring keynotes & panel discussions setting the strategic foundation for AI security.
Key Highlights
Opening keynote on why developer security is the core of AI trust
Panel on practical challenges of securing AI-driven applications
Interactive workshop on AI security best practices
Closing keynote on the future of AI security
Practitioner Track
For Hands-On Experts
Who Should Attend
Software Engineers & Developers
Application Security Teams
AI/ML Engineers & Researchers
Software Architects & Platform Engineers
AI Security Specialists
Overview
Deep Dives & Practical Application: Securing the AI Native Shift
A two-day workshop providing hands-on experience & practical knowledge for implementing AI security.
Focus Areas
Securing AI-generated code & prompt engineering for security
Fixing vulnerable AI-generated code
OWASP Top 10 for GenAI & LLM & new implications
Building an AI security readiness framework
Managing open source & supply chain risks in AI/ML
Invariant Labs: advanced AI attack vectors & defenses
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