THEOS: Runtime Governance Framework for AI Safety | Validated on Claude Sonnet 4.5 | Complements Constitutional AI
Enterprise-grade governance and policy enforcement for agentic AI systems.
Four Tests Standard (4TS) - Vendor-neutral specification for verifiable AI governance
A polyglot programming language with built-in LLM governance — integrates Python, JavaScript, Rust, C++ and more through an innovative block system
Multilingual tone protocol for GPT-based AI agents. Designed to preserve conversational sovereignty.
Deterministic execution capsules for governed, reproducible AI workflows (.aix format)
Formales Protokoll zur epistemischen Output-Governance von KI-Systemen.
Public, governed documentation for Keon Systems. Defines claims, architecture, and verification paths for governing AI and automated decisions.
Policy-first, OpenAI-compatible governance gateway for regulated AI workloads. Enforces runtime policy evaluation, PHI/PII redaction, retrieval authorization, and tamper-evident audit trails in the critical path of every LLM and RAG request. Built for healthcare, financial services, and sovereign AI deployments.
Educational RAG system with provenance logs
An execution kernel that treats LLMs as untrusted compute and enforces policy via deterministic runtime interception.
Bilingual (Malay + English) reasoning & governance dataset for evaluating LLM decision-making, stop-loss rules, and risk trade-offs.
Sovereign Execution Layer for Autonomous Agents | gVisor-Hardened Governance | FinOps-Optimized Inference Routing.
Structural Reliability Evaluation Report and Supporting Artefacts
🛡️ Build better decisions with the AH170 Governance Framework, a bilingual dataset for training models in risk management and governance discipline.
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