Day One opening and closing remarks from Gadi Evron at [un]prompted 2026.Gadi Evron is CFP Chair, [un]prompted and CEO, Knostic.

Day Two opening and closing remarks from Gadi Evron at [un]prompted 2026.

Gadi Evron is CFP Chair, [un]prompted and CEO, Knostic.

Day 1 | Stage 1

Dan Hubbard kicks off [un]prompted with a poem.

Dan Hubbard is VP of Research, Vectra AI.

Watch on YouTube: https://www.youtube.com/watch?v=cUMJTM9egiM

Day 1 | Stage 1

VP of Security Engineering from Google discusses advancing code security with a comprehensive overview of Google's AI security strategy. Shows how to evaluate emerging cyberattack capabilities and demonstrates how tools like CodeMender are helping build intrinsically safer software.

Heather Adkins is VP of Security Engineering, Google.

Four Flynn is VP Security and Privacy, Google DeepMind.

Watch on YouTube: https://www.youtube.com/watch?v=B_7RpP90rUk

Day 1 | Stage 1

As AI coding tools drive the cost of building security agents toward zero, the hard problem becomes knowing whether they'll actually work against real attacks and vulnerabilities not seen before. Presents a practical journey from naive precision/recall metrics to multi-dimensional evaluation that captures reasoning quality, evidence gathering, and tool-calling logic. Shows how proper measurement unlocks automated agent improvement using genetic algorithms and AI coding tools. Includes live demo.

Joshua Saxe is AI Security Technical Lead, Meta.

Watch on YouTube: https://www.youtube.com/watch?v=rO2yA52U_i4

Day 1 | Stage 1

Explores how to provide consistent security guidance at scale, especially in AI-first environments. Discusses building an AI-Native Security Guidance as a Service that centralizes security knowledge and powers multiple defensive AI capabilities with consistent, evaluated and bespoke guidance.

Shruti Datta Gupta is Product Security Engineer, Adobe.

Chandrani Mukherjee is Product Security Engineer, Adobe.

Watch on YouTube: https://www.youtube.com/watch?v=SMEZowlcyyo

Day 1 | Stage 1

Shares how Stripe is using AI agents to streamline high-friction security workflows including threat modeling and security request routing. Covers practical design choices that made these agents reliable in practice: modular orchestrator/child architectures, targeted tools, structured inputs/outputs, and validation to reduce variance and improve determinism. Walks through measuring and improving agent quality over time using offline and online evaluation loops.

Jeffrey Zhang is Security Engineer, Stripe.

Siddh Shah is Software Engineer, Stripe.

Watch on YouTube: https://www.youtube.com/watch?v=KrKk8BGPeQA

Day 1 | Stage 1

An AI-maximalist vision of securing software in the agentic future. Presents engineering-first ways to improve security of projects with zero-friction additions. Advocates for using LLMs to write code and security, arguing that if engineers use LLMs for code, they should use them for security too.

Paul McMillan is Security Engineer, OpenAI.

Ryan Lopopolo is Member of Technical Staff, OpenAI.

Watch on YouTube: https://www.youtube.com/watch?v=U2O14Jd3MBU

Day 1 | Stage 1

Presents techniques for finding and validating access control flaws using AI agents. Uses strict validators for identifying successful logins (AuthN) and protected resource access (AuthZ) to build capable attack agents. Shows how to enable LLM-powered agents to discover and validate access control vulnerabilities at scale.

Brendan Dolan-Gavitt is AI Researcher, XBOW.

Vincent Olesen is AI Researcher, XBOW.

Watch on YouTube: https://www.youtube.com/watch?v=996zolUsXog

Day 1 | Stage 1

Introduces BinaryShield, a privacy-preserving fingerprinting system that enables cross-service threat intelligence without exposing sensitive user prompts. As LLM-powered services proliferate with prompt injection attacks, this system allows sharing threat data across organizational boundaries while preserving privacy. Covers research and practical deployment applications with demo.

Natalie Isak is Software Engineer, Microsoft.

Waris Gill is Applied Scientist, Microsoft.

Watch on YouTube: https://www.youtube.com/watch?v=u7pag5p9z5o