Pavan Reddy is principal developer at Automata LLC, leading FIPS 140-3, FedRAMP ATO, and AI security initiatives. He is an independent AI security researcher and educator focused on making secure AI accessible at scale. He founded QBTrain, a free platform for hands-on AI and AI security education. His peer-reviewed work, published at AAAI, ACM, FLAIRS, HCII, ACSAC, and NeurIPS, spans adversarial ML, prompt injection, and foundation model vulnerabilities. He has delivered 25+ talks and workshops at BSides, OWASP, SquadCon, CAPWIC, ACM SIGCITE, NeurIPS Education, FLAIRS, CVPR 2026 and TechMentor at Microsoft HQ. He educates 80,000+ followers online and holds an MS in CS from George Washington University.
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