CYBIONT
Cybiont maintains an active research program at the intersection of verifiable computation, distributed systems, and AI governance. Our work pushes the boundaries of safe, reliable, and accountable intelligent systems.
Current Focus Areas
Q1: Attestation Performance at Scale
Investigating the latency impact of proof aggregation and confidence analytics in high-frequency environments such as financial trading. The goal is to maintain sub-millisecond attestation times while sustaining verifiable assurance.
Q2: Human-in-the-Loop Governance Design
Modeling optimal thresholds for human intervention within the risk-adaptive governance system. This research balances meaningful oversight (as required by FINMA) with operational efficiency while designing safeguards against automated reinforcement bias.
Q3: Adversarial Robustness and Threat Modeling
Developing advanced threat models for the zero-trust security infrastructure, focusing on model-poisoning attacks, Byzantine failures in consensus, and side-channel attacks within confidential computing environments.
Knowledge Series
Our foundational research on the nature of knowledge systems, viewed through a thermodynamic lens, informs our architectural approach.