AI is moving faster than almost anyone expected, and with it comes a familiar fear: that the machines are here to replace us. We think that misses the point entirely. Technology exists to make human life better, not to write people out of it, and the people who thrive will be the ones who are ready for AI, who understand how it works, where it breaks, and how to use it well.
Getting people ready is the work we are setting out to do. We are building research and writing on the trends reshaping cybersecurity, courses for security professionals and developers alike on testing AI systems and shipping AI apps that hold up, and tools that put AI-assisted security testing within reach of any operator. We are early, and this is exactly the work we intend to be known for.
As part of our mission to make people AI-ready, Ryvane Academy is where that work becomes something you can learn. It is early and still in beta, but the shape is clear: structured courses, hands-on labs, and progress you can feel as AI security turns into instinct.
Researchers, engineers, and red teamers who've shipped AI security findings against production systems and now teach and do the craft.
Offensive security specialist leading Red team operations, penetration testing, and security research at Ryvane. Formerly at Google, J.P. Morgan, and EY. Speaker at DEF CON, MCTTP, RingZer0, HeapCon, and c0c0n.. Started Ryvane to turn what he'd learned about breaking AI into something engineering teams could actually use.
Security Researcher and Senior AI Content Engineer, specializing in AI Red teaming, malware development, and offensive security. With prior experience as a Bug Hunter and Red Team Operator he combines real-world adversarial expertise with a passion for creating engaging cybersecurity training.
Senior Security Researcher with experience in AI Security, Application Security and Red Teaming
Leading secure software development and engineering efforts, building resilient solutions at Ryvane.
Journal
Audits, research, and training from the team building the field's working toolchain.
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