We didn't build NeuroSec as an academic exercise. We built it because we spent years inside enterprises watching AI get deployed faster than it could be secured, seeing the damage firsthand.
Dr. Ceesay has 17+ years of enterprise cybersecurity and CISO-level leadership in financial services and national security, with senior roles at Capital One and Mastercard. He holds a PhD with published research in AI and ML security, including adversarial robustness and AI governance, and advises on regulated adoption through EU AI Act and NIST AI RMF frameworks. He has built and scaled teams protecting 1B+ in regulated assets and remains active in the financial services security ecosystem through FS-ISAC and security conference engagements. He serves as adjunct faculty at UC Berkeley School of Information, Johns Hopkins Applied Physics Laboratory, and George Mason University, where he teaches graduate-level courses at the intersection of cybersecurity, AI governance, and emerging technology policy.
Mr. Millan is the principal architect behind the platform's MVP and technical roadmap. He brings over two decades of experience designing and scaling secure, high availability enterprise systems supporting 10K+ concurrent users. His experience as Director of Software Engineering at Mastercard, Head of Engineering at Financefair, Chief Architect at General Motors, Principal Engineer and Manager at Workday, and Solutions Architect at HPE, he has repeatedly led teams from zero to one through production scale, combining deep hands-on cloud and distributed systems expertise with disciplined DevSecOps to deliver reliable customer facing products end to end.
Mr. Shaheen leads NeuroSec's business operations and commercial functions. He is a seasoned executive leader with 22+ years advising international enterprises and governments on cybersecurity, technology modernization, and emerging innovations in North America, Europe, Middle East and Asia. As a trusted advisor to start-ups, established technology firms and family offices across financial services, healthcare, national security, telecommunications and sports & media, Mr. Shaheen brings global investment and partnership strategy experience to scale trusted security solutions in domestic and international markets.
Most security companies understand infrastructure. Most AI companies understand models. NeuroSec's founding team understands both at the enterprise scale where it matters.
Our CEO has sat in the CISO seat: he knows what security leaders actually need, what procurement looks like, and what compliance really costs. We build for buyers, not demos.
We've been deep in EU AI Act, NIST AI RMF, and ISO 42001 since before they were enforcement realities. We're not catching up to regulators: we're ahead of them.
We identified the ASPM gap before the market named it. That head start translates directly into platform depth, customer relationships, and category definition.
Our strategic advisory network brings the regulatory, enterprise, and research perspectives that strengthen every decision we make.
Academic and industry researchers specializing in adversarial ML, model robustness, and AI attack surface analysis.
Current and former CISOs from Fortune 500 companies across financial services, healthcare, and technology sectors.
Legal and policy experts with direct experience in EU AI Act implementation, NIST framework development, and AI governance.
Senior engineers from leading AI labs and cloud providers who understand the systems NeuroSec is designed to protect.
99.97% detection precision means our customers act on real threats, not noise. Every alert we surface is actionable. We optimize for trust.
A risk posture that refreshes in under 60 seconds isn't a product spec, it's a statement about what security demands in the age of AI.
Every feature is built for the constraints of large organizations: RBAC, audit trails, multi-tenant controls, and integrations with existing stacks.
We're actively building NeuroSec into the defining AI security company of this decade. If you're an investor, partner, or enterprise looking to get ahead of the AI security curve: let's talk.
