Abhishek Dubey
Co-founder & CEO

Abhishek Dubey

AI leader and entrepreneur with expertise in building and scaling enterprise solutions. Founded and led Bolster.ai as CEO, raising $40M and scaling to Fortune 1000 customers. Pioneered auto-takedowns of malicious websites using Small language models and agentic systems. Built and led multi-national teams across engineering, research, product, and go-to-market. Previously led large-scale AI research and security teams at Cisco TALOS, automating enterprise threat detection for Fortune 500 companies.

Experience & Education

Member, Board of Directors

2025 - Present

Bay 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 & CEO

2017 - 2024

Bolster.ai

Founded and led Bolster.ai as CEO, building an enterprise security platform that protects companies from digital threats using advanced AI and machine learning. Bolster.ai was the first to automate manual takedowns that were previously sent by paralegals using AI, transforming a highly manual and cumbersome process. Raised $40M from top-tier investors including Microsoft's M12, scaled to 200+ enterprise customers including Fortune 500 companies, and grew to $7M in annual recurring revenue. In the early days, built the initial product foundation with a focus on ML and language models, deploying 11 small language models and automating internal SOC operations using agentic AI we called bots. As CEO, transitioned to leading both Product and Go-to-Market functions, scaling commercial success while building multi-national AI teams.

Senior Engineering Leader

2011 - 2016

Cisco (TALOS Security Business Group)

Led Research and Support teams as part of Cisco's Security Business Group, known as TALOS. Managed a team of over 50 people, including machine learning teams with multiple PhD AI researchers, security research teams, and L1/L2 support teams. Automated manual website classification previously done by global contractors using ML, saving Cisco $1.5M annually and increasing classified websites by 1200%. Supported Cisco's Fortune 1000 customers while developing and refining ML algorithms for malicious site detection and ranking, improving threat detection capabilities.

Carnegie Mellon University

MS, Information Security Technology

Carnegie Mellon University

Graduate studies in information security, operating systems, entrepreneurship, and cryptography.

Stanford University

Strategic Decision and Risk Management

Stanford University

Executive education program focused on strategic decision-making, risk analysis, and management.

Publications

Blogs

Let's Connect

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