HAIEC Documentation

Core Capabilities to integrate AI governance into your product

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Quick Start

Guide

Define your first AI system and start collecting evidence

Engine Documentation

Reference

Guides for HAIEC evidence producers and evaluators

API Reference

Reference

API endpoint documentation for integrations

Guides

10-30 min

Step-by-step tutorials and best practices

Case Studies

10 min

Illustrative AI governance failure scenarios

Engine Documentation

Technical guides for supported HAIEC analysis and evidence-producing components

AI Security Static Engine

Tier 2

AST-based code analysis for AI vulnerabilities

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Compliance Wizard Engine

Tier 2

Interactive evidence collection for SOC2, GDPR, HIPAA, ISO27001

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GitHub Control Signals Engine

Tier 1 - FREE

Repository metadata and CI/CD detection

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AI Security Runtime Engine

Tier 2

Live endpoint testing with attack payloads

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Popular Guides

Assurance

Assurance and Decision Receipts

How HAIEC produces evidence-bound assurance decisions and verifiable receipts

Start Here

Getting Started

The canonical HAIEC workflow: Define, Connect, Collect, Map, Evaluate, Assure, Verify

AI Security

LLM Output Verification

Real-time prompt injection detection and PII redaction for LLM outputs

Product

AI Action & Access Map

See what AI systems can reach, change, and trigger

Quick Start

The canonical HAIEC workflow

1.Define an AI System

2.Connect supported evidence sources

3.Collect evidence (static, runtime, policy, IAM)

4.Review the AI Action & Access Map

5.Run Evaluation

6.Review Assurance (ALLOW / REVIEW / BLOCK)

7.Verify Decision Receipt

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