The Foundations Governance Hub defines the normative principles and baseline controls that underpin all AI governance domains.
Governance Foundations define how TealTiger approaches governance for agentic AI systems.
Before discussing runtime controls, security enforcement, data boundaries, or compliance enablement, this section establishes the core principles that all TealTiger governance domains rely on.
These foundations ensure governance is deterministic, contract‑first, and enforcement‑driven — not advisory or probabilistic.
What This Hub Covers
- Deterministic decision‑making as a governance property
- Contract‑first governance design
- Policy versioning and freeze boundaries
- Enforcement versus observability
- Audit‑first system architecture
Why Foundations Matter
Without strong foundations:
- Governance becomes inconsistent
- Controls drift over time
- Risk assumptions lose credibility
- Audit evidence becomes fragmented
TealTiger treats governance as a system capability, not a documentation exercise.
Core Articles
- Governance Foundations for Agentic AI
- The contract‑first, deterministic principles that underpin all TealTiger governance domains.
Additional Articles
- From Policies to Contracts: Why AI Governance Must Be Deterministic
- Designing Governance Invariants for Agentic Systems
-
Shift‑Left Governance: Embedding Controls Before Runtime
Related Insights
These Insights explain how foundational governance principles manifest across multiple control domains:
These articles expand on the foundations by showing how governance principles are translated into enforceable controls, non‑negotiable invariants, and pre‑runtime prevention mechanisms.