Technology stack
The AEGIS system is designed as a secure, layered payment architecture connecting NFC devices, cloud services, and intelligence engines. The platform incorporates secure edge devices that act as trusted entry points into the payment system. These devices are authenticated, tamper-resistant, and communicate with backend services over encrypted channels, ensuring that transactions originate from verified sources and are protected from compromise throughout their lifecycle.
Intelligence module
The platform continuously assesses transactions using a diverse set of contextual, behavioral, and transactional signals. Through a layered intelligence approach that blends policy-driven controls with data-driven analysis, it enables adaptive and explainable decisioning, balancing security, performance, and user experience as risk patterns evolve.
Security and compliance
Security is foundational to the platform’s design. Every component, from edge devices to cloud services, is built using a defense-in-depth approach that prioritizes data protection, system integrity, and operational resilience. The architecture is designed in alignment with industry security principles and payment standards, including PCI DSS and EMV-related frameworks, to support secure handling of sensitive data and future compliance as the platform evolves. By combining strong cryptographic protections, controlled access, continuous monitoring, and auditability, the system is structured to reduce risk, detect threats early, and maintain trust across all layers of the payment ecosystem.
Infrastructure and reliability
The infrastructure is designed to support the reliability, scale, and performance demands of modern financial platforms. Built on cloud-native and distributed systems principles, it emphasizes resilience, redundancy, and observability to ensure consistent operation while remaining flexible to evolving regulatory and business needs.
AI & AUTOMATION
Artificial intelligence supports operational efficiency, observability, and decision-making across the platform. AI-driven tools enhance visibility, automate routine workflows, and provide actionable insights, while remaining governed by strong oversight, transparency, and compliance controls.
