NOMINATION HIGHLIGHTS

Dewank Pant is a leading AI Security Researcher and Innovator specializing in securing large-scale artificial intelligence (AI) and machine learning (ML) systems. With extensive expertise in cybersecurity and AI Security, Dewank currently serves as a AI Security Researcher at Amazon Alexa and is a key contributor to Amazon Alexa’s AI security initiatives. His work focuses on developing advanced security testing frameworks, adversarial robustness methodologies, and privacy-preserving AI techniques, ensuring that AI-driven technologies remain resilient against emerging cyber threats.

Dewank has a proven track record in securing AI ecosystems, having led critical projects in security, adversarial attack resilience, and privacy-preserving ML. His work at Amazon, 23andMe, and NCC Group has directly contributed to protecting sensitive user data and ensuring the integrity of AI-driven applications. His contributions extend beyond corporate impact, influencing industry-wide security practices through CVE publications, open-source security tools, and cybersecurity conference presentations at platforms such as DEFCON.

He holds a Master’s degree in Cybersecurity from Johns Hopkins University and has published research on security vulnerabilities. Dewank is also currently working on several patent-pending techniques/projects related to testing and securing AI-driven platforms. His innovative security contributions make him an outstanding candidate for the AI Security Innovator of the Year award.