이 팟캐스트 소개 🔗

평균 오디오 길이:
21 minutes
게스트 인터뷰
영어
미국
에피소드 58 개
2026년 5월 28일부터
episodic

최신 에피소드 🔗

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

과거 에피소드 검색

[un]prompted Security Practitioner Con 2026의 과거 에피소드를 검색하세요.

이전 에피소드

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…
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 …
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 bespok…
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, structu…
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 f…
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 validat…
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 organizationa…
면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 [un]prompted에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.