Our peer-reviewed publications detail how we combine AI and security across critical infrastructure. The papers below unpack our architectural choices and the lessons we derive from real deployments.
Our field teams routinely document the methods we apply across public infrastructure and enterprise LLM operations. Each paper shares actionable insights spanning threat modeling, supervised architectures, and performance evidence.
The Electronics journal article (Vol. 12, No. 12, 2023) details an FPGA-based chaotic encryption architecture that blends systolic arrays with Lü–Chen oscillators to accelerate image protection.
The Computers and Informatics study (Vol. 1, No. 1, 2021) explores a classical-quantum hybrid transfer-learning workflow for detecting synthetic faces in high-security review loops.