AI Security Researcher
Model integrity, poisoning, adversarial robustness, privacy and runtime assurance.
CyberAI is intentionally presented as a specialist R&D company—not as a large operational security provider. Team roles are shown transparently.
Dr. Nafei leads CyberAI’s research and innovation activities across trustworthy artificial intelligence, cybersecurity, cloud–edge systems, intelligent decision support and collaborative R&D. His role connects research design, technical implementation, validation and project coordination.
The current portrait is a vector placeholder and should be replaced with a professional real photograph before public launch.
External collaborators, advisors and project experts are identified by their real role. They are not presented as permanent employees.
Model integrity, poisoning, adversarial robustness, privacy and runtime assurance.
Workload security, gateway architecture, distributed telemetry and deployment constraints.
Secure implementation, system integration, APIs, dashboards and reproducible artefacts.
Benchmark design, baselines, statistical evaluation, pilot protocols and evidence quality.
CyberAI can assemble a focused team around funded work packages, proposal development and prototype delivery. Engagements are scoped by expertise, timeline and output.
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