Currently serving as CIO, CISO, CAIO, and Threat Intelligence Chair, Rezaur Rahman brings 20 years of federal service and deep technical expertise in applied artificial intelligence and cybersecurity. He is currently building a national-scale, AI-native system with Google and advanced AI labs, encompassing geospatial reasoning, generative visualizations, deep research, computer-use models, mechanistic interpretability, evolutionary algorithms, generative UX and scaffolding, and security domains.
He is a frequent speaker on the intelligent design of agentic AI architectures, focused on intentional design and engineering for AI systems—including approaches that embed intelligence in the data layer to improve reasoning in AI models. He has recently spoken at multiple public sector & AI conferences, including the 2025 Google Public Sector Summit and the 2026 Google Public Sector CISO Roundtable, where he presented on applying AI interpretability, self-improving algorithms, and generative code to cybersecurity detection and response to protect critical infrastructure.
He has also recently contributed to a paper on AI and threat intelligence and is currently developing an independent paper on optimizing structured data for generative language models by targeting internal model representations through mechanistic interpretability.