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In this webinar, ProjectDiscovery Founding Solutions Engineer Davis Franklin walks through how security teams are using Neo, our AI-native security engineering platform, to run end-to-end, runtime-validated pentests. What we cover: ◼️ What Neo is and how agentic pentesting works ◼️ Live demo: Neo authenticating into GitHub, analyzing a PR, and validating code-level vulnerabilities against a live deployment URL ◼️ Neo ingesting a full application from source, deploying it in a sandbox, and pentesting microservice interactions end-to-end ◼️ How to build custom pentest agents in natural language to get deterministic, replicable results ◼️ Neo's memory system and how results and context compound run over run ◼️ Full Q&A: black-box pentesting, data privacy, integrations, re-testing scoping, and more Chapters: 0:00 – Welcome and Intro 2:16 – What is Neo? 3:14 – How agentic pentesting works 5:54 – Demo 1: GitHub PR analysis and runtime validation 10:43 – Demo 2: Full application pentest from source 16:20 – Custom agent building in Neo 20:47 – Recap of key differentiators 21:36 – Live Q&A #projectdiscovery #pentesting #cybersecurity #webinar Subscribe: / @projectdiscovery ______________________________________________________ Learn more: Website: https://projectdiscovery.io/solutions... GitHub: https://github.com/projectdiscovery Discord: / discord LinkedIn: / projectdiscovery ______________________________________________________ Neo is a cloud-based AI security engineer that works alongside your team and takes on real security tasks like a true co-engineer. As it operates, it continuously learns your systems and processes, improving over time just like an engineer ramping up on your team. You can learn more here: https://projectdiscovery.io/blog/intr...