---
title: AI Security Architecture | Docs | Lattix
description: How Lattix combines model-assisted interpretation, governed semantic context, bounded verification, and policy enforcement around AI-mediated actions.
source: "https://lattix.io/docs/concepts/ai-security-architecture/"
content-type: text/markdown
---

# AI Security Architecture | Docs | Lattix

Core Concepts

# AI Security Architecture

How Lattix combines model-assisted interpretation, governed semantic context, bounded verification, and policy enforcement around AI-mediated actions.

> Architecture direction. Availability depends on the workflow, deployment, and verification surface in scope.

Lattix is designed to keep AI capability separate from security authority. A model can help interpret structured intent or surface a semantic relationship, but the model output is not itself an authorization decision.

## The qualified neurosymbolic model

We use **neurosymbolic security architecture** as a qualified systems term:

1. **Model-assisted signal** — a model or automated analyzer helps interpret intent, classify content, or propose a relationship.
2. **Governed semantic context** — approved relationships, classifications, purpose, lineage, and regulatory context are versioned and scoped.
3. **Bounded verification** — supported AI-mediated actions are represented as explicit constraints and checked by repeatable controls.
4. **Policy enforcement** — verification evidence is passed into the existing authorization and enforcement path.

This describes how security controls surround AI-mediated actions. It does not mean that model generation is deterministic, that every model behavior is formally proven, or that semantic context independently grants access.

## Why the boundary matters

Model confidence is not authority. A model-assisted candidate remains a proposal until it passes the applicable governance workflow. Semantic context explains which relationships and policy inputs are in scope. Verification tests a supported action against explicit constraints. Authorization and protected-data enforcement still decide whether data or keys can be released.

The separation supports:

- **Reviewable change** — proposed semantic relationships can be accepted, modified, or rejected before becoming trusted context.
- **Repeatable controls** — supported actions can be evaluated against bounded rules rather than relying on a second model to judge the first.
- **Fail-closed handling** — ambiguity, mismatch, unavailable verification, or incomplete context can stop the workflow from receiving authority.
- **Auditable evidence** — the security path can retain the policy context, verification result, and enforcement decision as distinct evidence.

## Where it fits in the platform

The architecture complements the rest of Lattix:

- [Policies and ABAC](https://lattix.io/docs/concepts/policies-and-abac/) remains the authorization model over principal, data, and context.
- [Trusted Data Format](https://lattix.io/docs/concepts/trusted-data-format/) keeps protection and policy attached to governed objects.
- [Zero Trust Fabric](https://lattix.io/docs/concepts/zero-trust-fabric/) provides policy enforcement at the point where access occurs.
- [Ontological Data Security](https://lattix.io/ontological-data-security/) provides the semantic security context that can make relationships explicit and reviewable.

## What this architecture is not

- It is not a new model or model-vendor claim.
- It is not deterministic AI generation.
- It is not universal formal verification of arbitrary prompts or model behavior.
- It is not a replacement for policy decisions, key release controls, or protected-data enforcement.

For the broader data-centric model, see [AI Security](https://lattix.io/ai-security/) and the [Platform Overview](https://lattix.io/docs/platform-overview/).

[Classification and Tagging How data becomes policy-enforceable: tag schemas, classification automation, and the handoff from governance to access control.](https://lattix.io/docs/concepts/classification-and-tagging/) [Products The Lattix product suite, what each product does and which concepts it exposes.](https://lattix.io/docs/products/)