TealTiger Governance is built for deterministic enforcement in agentic AI systems.
This section is organized as Governance Hubs. Each hub contains a hub overview and core articles.
How to Read the Governance Section
TealTiger Governance is structured as a layered system:
- Governance Hubs define what controls must exist for AI systems.
- Insights explain how those controls interact in practice, including common failure modes and design trade‑offs.
- Evidence captures verifiable proof that enforcement occurred and supports audit or compliance review.
These layers are intentionally distinct and should be read together.
Governance Hubs are authoritative; Insights are explanatory; Evidence is factual.
🏗️
Foundations
Contract-first principles → Runtime, Security
📚
Frameworks
Standards operationalized through deterministic controls
⚙️
Runtime
Enforcement at execution time → Evidence
🛡️
Security
Identity-bound, least-privilege controls → Evidence
🗄️
Data
Purpose binding, boundaries → Security
🤖
Model
Approved models, task bindings, risk boundaries
💸
Cost
Budget enforcement → Runtime
📈
Risk
Continuous risk assurance → Compliance
🧾
Evidence
Immutable proof from enforcement → Compliance
✅
Compliance
Compliance-enabling controls and evidence
🌱
Sustainability
Operational, financial, and organizational sustainability
Recommended read order: Foundations → Runtime → Security → Evidence
Notes
- TealTiger is compliance‑enabling, not a complete compliance program.
- Governance hubs are stable; core articles evolve with versioned capabilities.