Ariel Fogel is a founding engineer & researcher at Pillar Security, where he hardens AI applications against real-world attacks and compliance risks. Over the past decade, he has built production systems in Ruby, TypeScript, Python, and SQL, shipping everything from full-stack web apps to data analytics pipelines. His academic and professional research work spans data-science methods, learning analytics, health policy, and cybersecurity. Ariel co-hosts the podcast “LLM Cybersecurity,” dissecting academic papers to demystify jailbreaks, prompt injections, and emerging AI-security research. In the few hours a week he's not thinking about AI, engineering, and security, Ariel spends time with his family or plays jazz on the upright bass. He's found that whether you're plucking strings or navigating family dynamics, success is all about harmony and knowing how to improvise.
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