CYBIONT
Cybiont addresses the fundamental challenge of deploying Artificial Intelligence in regulated environments—such as finance (FINMA) and critical infrastructure (EU AI Act)—where accountability, auditability, and robustness are non-negotiable.
Cybiont's approach integrates deterministic verification layers directly into the AI architecture.
AI-First Stack Snapshot
- Model layer: foundation / fine-tuned LLMs + tool-use agents
- Governance layer: verifiable decision protocols + policy enforcement
- Data & residency: CH/EU control • BYO-cloud datasets
- Deployment: Google Cloud (Vertex AI) • Microsoft Azure (Azure AI) • AWS (Bedrock / SageMaker) • On-prem (air-gapped)
- Security: cryptographic attestations • zero-trust runtime • auditable traces
The Cybiont platform acts as an independent governance and evidence layer across Azure, AWS, and Google Cloud. It is first validated on Azure Confidential Computing and engineered to extend to AWS Nitro Enclaves and GCP Confidential VMs so that control and verifiable evidence remain with the client, not the infrastructure provider.
CybiontGov and Ω9 in the HSE
CybiontGov provides the runtime governance layer within the Hardware-Secured Environment (HSE): it monitors AI usage, enforces policy, and records cryptographically verifiable evidence of each interaction. Ω9 complements this by analysing the epistemic reliability of AI outputs and providing risk signals that CybiontGov can use for governance decisions.
Selected Use Cases
- Trade surveillance: verifiable decision trails for model-assisted alerts
- Model-risk governance: auditable policy checks before execution
Responsible AI
Aligned with FINMA and EU AI Act governance expectations: verifiable decisions, auditability, and CH/EU data control — by design.
The Hardware-Secured Environment (HSE)
The Cybiont Hardware-Secured Environment (HSE) is a verifiable intelligence platform that provides a secure, auditable, and compliant foundation for AI in regulated industries. It integrates four core modules into a unified architecture, delivering end-to-end trust from the underlying hardware to the final AI-driven decision.
The platform is engineered to support the stringent requirements of Swiss and EU regulations (FINMA, FADP, EU AI Act), enabling organizations to leverage advanced AI while maintaining provable evidence for their own compliance processes.
Core Modules
1. Compliance Ledger
The Ledger is a cryptographic attestation engine that creates immutable, tamper-evident audit trails for all AI operations. It ensures that every action is recorded and verifiable, providing a single source of truth for regulators and internal auditors. It is the foundation of the system's verifiability.
2. Governance Engine
This risk-adaptive system orchestrates human and AI agents through dynamic, policy-driven consensus rules. It enforces governance protocols, manages access control, and ensures that all actions align with predefined compliance and operational policies. The engine adapts to real-time risk signals, tightening or loosening controls as needed and consuming epistemic signals (Ω9) about AI output quality where available.
3. Trusted Execution
The execution module uses a zero-trust infrastructure to secure AI workloads in isolated, confidential computing environments. By leveraging hardware-level security features, it protects models and data from unauthorized access, ensuring integrity and confidentiality even in multi-tenant cloud environments.
4. Multi-Environment Orchestration
This module manages the deployment and operation of AI systems across diverse infrastructures, including Google Cloud, Microsoft Azure, AWS, and on-premise data centers. It provides a unified control plane for consistent policy enforcement, monitoring, and governance, regardless of where the AI workloads are running.