Research Division
Secure & Autonomous Systems Division
Researching safe, deterministic, and autonomous computation across distributed, adversarial, and mission-critical environments.
This division studies the security properties, operational guarantees, and control mechanisms required for systems that automate decision-making, computation, and governance workflows in high-stakes contexts. It spans secure compute, autonomous orchestration, policy-driven execution, and distributed runtime environments.
Core Research Areas
- Post-quantum secure compute & isolation models — Formal analysis of secure execution across multi-tenant and distributed environments.
- Autonomous system design & safety frameworks — Governance and control models for autonomous agents in finance, industrial operations, and sovereign compute.
- Deterministic engineering & reproducible computation — Research into deterministic workloads, event verification, and audit-grade compute paths.
- Fault-tolerant orchestration & resilience engineering — How autonomous systems respond predictably to failure, adversarial activity, and uncertain environments.
Long-Term Objectives
- Establish global frameworks for safe autonomous compute.
- Define control-plane standards for AI-dependent systems.
- Advance reproducibility and auditability in distributed computation.
Intersections with QIST Technologies
Secure & Autonomous Systems research shapes how QIST designs control planes, run-times, and assurance mechanisms for mission-critical automation.
- QNSP
- AIOS
- DDIP Platform
- IACC