Abhishek Dubey
Building AI-powered security solutions to protect enterprises from digital threats. Passionate about leveraging machine learning and automation to combat phishing, fraud, and brand impersonation at scale.
Experience & Education
Member, Board of Directors
2025 - PresentBay Area Council
Serving on three policy committees: Global Business and Investment, Tech & Innovation, and Workforce of the Future. The Bay Area Council, founded in 1945, represents over 370 member companies and works directly with lawmakers to advance policies strengthening the regional economy. In 2025, sponsored 10 bills and passed 7 into law.
Co-founder
2019 - PresentBolster.ai
Leading AI-powered security platform protecting enterprises from phishing, fraud, and brand impersonation. Built and scaled the company from inception.
Senior Director of Engineering
2015 - 2019Previous Company
Led engineering teams building scalable security infrastructure and machine learning systems.
MS, Information Security Technology
Carnegie Mellon University
Graduate studies in information security, operating systems, entrepreneurship, and cryptography.
Strategic Decision and Risk Management
Stanford University
Executive education program focused on strategic decision-making, risk analysis, and management.
Patents
Real-Time Detection and Redirection from Counterfeit Websites
Describes a browser extension that extracts webpage content from a requested URL, sends it to a detection system for analysis, and redirects to a legitimate site if deemed counterfeit, preventing access to fraudulent content in real-time.
Real-Time Detection and Blocking of Counterfeit Websites
Focuses on blocking access to counterfeit URLs via a browser extension that analyzes extracted content; if fraudulent, it halts loading and may alert the user, emphasizing prevention over redirection.
Systems and Methods for Takedown of Counterfeit Websites
Outlines automated takedown processes, using APIs or emails to notify hosting providers with evidence (e.g., screenshots, IP details); includes periodic checks to confirm site removal, automating what was traditionally manual.
Systems and Methods for Determining User Intent at a Website and Responding to the User Intent
Analyzes referral URLs from server logs to detect if a prior site was fraudulent; blocks user requests if so, or processes them if legitimate, integrating machine learning for accurate fraud assessment.
Publications
Android Security: Attacks and Defenses
Book on Android platform security, vulnerabilities, and defense mechanisms
CSCE 2021 Conference Proceedings
Congress on Computer Science, Computer Engineering, and Applied Computing
CSCI 2021 Book of Abstracts
International Conference on Computational Science and Computational Intelligence