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Abhinav Piratla
Additional Info
| Nominee’s Name | Abhinav Piratla |
| Nominee’s Job Title or Role | Senior Cybersecurity Specialist |
| Company / Organization | DAE |
| Company size | 10-39 employees |
| Country | United States |
| World Region | North America |
| Website | mydae.org |
NOMINATION HIGHLIGHTS
Abhinav Piratla is an AI security researcher and cybersecurity educator whose work bridges peer-reviewed research, hands-on teaching, and applied security engineering — a combination held by fewer than 100 professionals globally.
Research Impact:
As first author of AP-GUARD (Artificial Pancreas Generalized Unsupervised Anomaly Recognition and Detection), published at CICN 2025, Abhinav developed an autoencoder-based anomaly detection framework for life-critical medical devices. AP-GUARD achieved F1-scores exceeding 0.75 across all patient-based validation configurations — a 205% improvement over baseline and 820% improvement over LSTM approaches — with cross-patient generalization essential for real-world clinical deployment. His co-authored systematic review at ICSC 2025 (Fifth Intelligent Cybersecurity Conference, Tampa, FL) synthesized 250+ studies into a comprehensive threat taxonomy for artificial pancreas systems, establishing a forward-looking AI resilience roadmap referenced by researchers advancing FDA-aligned medical device security.
Educational Excellence:
At DAE (District Arts & Education), Abhinav leads cybersecurity education for 120+ students spanning high school through adult career-changers, many from underserved communities entering the field for the first time. His hands-on curriculum covers SIEM operations (Splunk, ELK), vulnerability assessment (Nessus, OpenVAS), cloud security (AWS/Azure), threat modeling, secure SDLC, and AI security. Measurable outcomes include:
– CTF completion rates improved from 60% to 85% through redesigned progressive-complexity methodology
– 95% positive learner feedback across all cohorts
10 hands-on labs designed and delivered, 6 lab guides authored, grading automation reducing instructor time by 50%
– Students successfully transitioning into SOC analyst, junior penetration tester, and security engineering roles
Applied Security Practice:
Abhinav doesn’t just teach security — he builds it. He designed and implemented FERPA-compliant security infrastructure for DAE, built a custom Learning Management System eliminating third-party licensing costs, developed AI-powered security scanning tools, and created an AI-Enhanced OSINT and Phishing Simulation Platform that earned Sacred Heart University’s Dean’s Leadership Award. He has presented at BSidesCT on “Good AI vs. Bad AI in Security” and holds a 4.0 GPA M.S. in Cyber Forensics & Counterterrorism.
Recognition:
– 2025 Global Recognition Award — cybersecurity innovation and educational leadership
– Unstoppable Global Technology Award 2024 — Cybersecurity Expert
– Dean’s Leadership Award, Sacred Heart University
– CompTIA Security+ Certified (2025–2028)
Abhinav represents a new model for cybersecurity education: one where the educator is simultaneously a publishing researcher, a practicing security engineer, and a builder of the tools and systems that protect real infrastructure. His work directly addresses the 700,000+ unfilled U.S. cybersecurity positions while advancing the state of the art in AI-driven medical device protection.
Community Choice Award Voting
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Voting closes July 18, 2026. Community Choice winners will be announced before Black Hat USA.
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The Community Choice Award is separate from the jury-based awards. Jury awards are decided by expert judges. Community Choice is decided by public votes. A nominee can receive jury award recognition, Community Choice recognition, both, or neither.
