Talks·51 min
Brenton House
Gives API developers a quick overview of the Model Context Protocol, its architecture, and its security risks.
DEF CON 34 talks are here: 354 talks, summarized and searchable.
Browse DEF CON 34October 2025 · Austin, TX, USA
1 session · 50 talks
1–24 of 49 talks / 50
Talks·51 min
Brenton House
Gives API developers a quick overview of the Model Context Protocol, its architecture, and its security risks.
Talks·41 min
Andrew Hoog
Presents the five most significant mobile app risks drawn from over half a million automated dynamic assessments of iOS and Android apps.
Talks·50 min
Marcus Carey
Argues for using LLMs in cybersecurity work, with demos of automation, tabletop exercises and agent-style tooling.
Talks·53 min
Joy Curtis
Explains how a project manager's AI deployments in regulated sectors reveal red and green flags around data, outputs and explainability.
Talks·47 min
Shannon Lietz
Explores how agentic AI will reshape DevSecOps pipelines, using metrics, adversary profiles and threat models as guides.
Talks·32 min
Akshay Mittal
Surveys how AI tools strengthen cloud-native DevSecOps and runtime defense, and how attacks like prompt injection threaten AI systems.
Talks·48 min
Matt Tesauro
Separates AI hype from practical gains in application security, using an MCP server for DefectDojo as the working example.
Talks·50 min
Josiah Hagen
Applies Big Five personality testing to several LLMs to show how prompt tone shifts their self-assessed traits.
Talks·42 min
Sam Stepanyan
Shows how the open-source OWASP Nettacker scanner maps networks, finds exposed services and chains scan modules.
Talks·40 min
Mike Biocchi
Explains why computer science programs leave graduates without security skills and what schools and employers can do.
Talks·52 min
Rico Komenda · Javan Rasokat
Pairs a builder and a penetration tester to show LLM prompt injection attacks alongside layered defenses for AI-integrated apps.
Talks·43 min
Jeff Williams
Argues that application security needs production context and a shared model of live systems rather than castle-style fortification.
Talks·47 min
Hysun Chung
Shows how a human reviewer can pair with an AI tool to run staged secure code reviews and keep them current.
Talks·55 min
Kadi McKean
Walks developers through evaluating open source dependencies for security, licensing, tampering and maintenance risk before adoption.
Talks·46 min
Dean Bushmiller
Explains how to pick among hundreds of cybersecurity certifications and build a career plan around them.
Talks·38 min
Andy Lewis
Shows how Python pickle files can hide executable code inside machine learning models shared on public hubs.
Talks·47 min
Akash Rajeev Bhatia · Milind Daftari
Explores how embedding security into AI-assisted coding and MCP-connected tools can reduce friction in DevSecOps pipelines.
Talks·48 min
Tomer Yahalom · Tal Skverer
Explains the OWASP Non-Human Identity Top 10 ranking, real breaches, AI agent impacts, and a live cloud credential attack demo.
Talks·48 min
Eitan Worcel
Shows how a prompt-driven pipeline filters false positives and generates verifiable code fixes, and where AI remediation still fails.
Talks·56 min
Michael Gough
Shows how a layered home backup power setup held up through a tornado and a multi-day grid outage, and where it failed.
Talks·50 min
Patrick Walsh
Shows how LLM, RAG and vector database features leak private data through repeated queries, embedding inversion and prompt injection.
Talks·50 min
Anitha Dakamarri
Examines how AI could change application security work, from threat modeling and code review to DAST and pentesting.
Talks·49 min
Jenn Gile
Shows security leaders how marketing methods can help them understand stakeholders and win buy-in for their programs.
Talks·48 min
Bertold Kolics
Shows how identity threat detection and response spots account takeover and fraud from authentication event logs.