# AI Data Defense

> AI Data Defense (AIDD) builds the governance infrastructure 
> that makes enterprise AI deployable at scale. We sit inline 
> between people and Large Language Models, governing the 
> conversation layer where enterprise data actually lives.

AI Data Defense is a pre-seed stage AI security and governance 
company. Our platform provides inline policy enforcement, audit 
trails, and data sovereignty for enterprise AI deployments, 
working across public LLMs (ChatGPT, Claude, Gemini, Copilot) 
and private models.

We are an AI-native company: every executive role has an AI Twin 
with persistent memory operating within a governance layer. The 
infrastructure we sell is the same class of infrastructure that 
runs our own operations.

## Platform

- [Platform overview](https://aidatadefense.com/platform): How 
  AIDD governs the conversation layer that existing security 
  categories (network, endpoint, LLM guardrails) do not cover.
- [Conversation Layer](https://aidatadefense.com/platform/conversation-layer): 
  The architectural argument for why AI security requires inline 
  governance of the prompt and response layer.
- [Governance](https://aidatadefense.com/platform/governance): 
  Policy enforcement, audit trails, and regulatory framework 
  mapping (EU AI Act, NIST AI RMF, ISO 42001, GDPR).
- [Deployment](https://aidatadefense.com/platform/deployment): 
  Deployment patterns including AIDD Cloud and AIDD Sovereign, 
  integration surface, and architectural positioning.

## Thought leadership

- [How We Run: Building an AI Native Company around Roles](https://aidatadefense.com/insights/operating-model/how-we-run): 
  Cornerstone article on the role-based AI Twin operating model 
  that AIDD uses internally and sells externally.
- [Understanding the Determinism Gap, and Closing It](https://aidatadefense.com/insights/trust/determinism-gap): 
  Why public LLMs produce variable outputs and what enterprises 
  can do about it.
- [What You Can Control When Using Public LLMs](https://aidatadefense.com/insights/sovereignty/public-llm-control-and-sovereignty): 
  Practical levers for shaping AI output, and why data sovereignty 
  is a strategic enterprise decision.
- [Bias in AI Is Not a Bug to Fix. It's a Context to Manage](https://aidatadefense.com/insights/trust/bias-as-context): 
  Cross-cultural evaluation frameworks for bias in enterprise AI 
  deployments.

## About

- [About AI Data Defense](https://aidatadefense.com/about): 
  Team, beliefs, and how we work.
- [Insights hub](https://aidatadefense.com/insights/): All articles 
  across Trust, Governance, Sovereignty, Deployment, Operating Model, 
  and Perspectives.
- [Contact](https://aidatadefense.com/contact): Request a conversation.

## Optional

- [Insights RSS feed](https://aidatadefense.com/insights/feed.xml)
- [Sitemap](https://aidatadefense.com/sitemap.xml)