About
A research lab for cybersecurity in the age of AI.
Senior-led, evidence-anchored, and built around a small bench of practitioners who have done the work themselves.
Founder
Sajawal Haider
Founder & Principal
Sajawal Haider is the founder of Runbit Labs, a cybersecurity, AI advisory, and incident response firm. A former enterprise CISO who has led security programs at global firms for more than a decade, he advises boards, executive teams, and security organizations on cybersecurity strategy, AI governance, and incident response.
He holds master’s degrees in Cybersecurity Risk and Strategy from NYU Law and in Technology Management from Columbia University.
Advisors
A senior bench drawn from technology leadership at firms like MGM+, Maersk, Amazon, and IBM. Advisors contribute domain input where an engagement calls for it.
Erum Hyder
Head of Technology, MGM+ · Ex-Amazon, KPMG
Head of Technology at MGM+, the streaming service operated by Prime Video & Amazon MGM Studios, with prior leadership roles at Amazon, KPMG, and Pitney Bowes. Brings senior operating perspective on applied AI, data science, and the integration of large-scale technology into the core of how organizations work. Holds an MBA in Finance from Stony Brook University.
Puneet Vaid
Head of eCommerce Pricing, Costing & Analytics, A.P. Moller – Maersk · Ex-Amazon
Head of eCommerce Transportation Pricing, Costing & Analytics at A.P. Moller – Maersk, with prior product and analytics leadership roles at Amazon. Contributes senior perspective on AI-driven decision systems, pricing strategy, and the operational use of analytics at enterprise scale. Multi-degree Stevens Institute of Technology alumnus and MBA.
Research advisors
Researchers who anchor Runbit’s applied research practice, contributing technical depth on emerging questions in AI, security, and human–machine interaction.
Alina Faisal
PhD Candidate, Computer Science · Dartmouth College
Computer Science PhD candidate at Dartmouth College and Master's in Health Informatics alumna of the University of Michigan. Her research focuses on computational linguistics and human-centered AI — including human–LLM interactions, information discernment, fairness and bias, and misinformation — with applications in healthcare and other high-stakes domains.
Zainab Makhdum
AI Engineer, IBM · MS Data Science, Columbia University
AI Engineer at IBM working on agentic AI systems and applied data science, and a Master of Science in Data Science candidate at Columbia University. Brings depth on AI engineering, model deployment, and the policy questions emerging around advanced AI systems.
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