# Enterprise Incident Framework

Version: 2026-07-06

This package is a reusable incident documentation, communication, investigation, audit, and postmortem framework. It is designed around a single structured `Incident` model that can generate audience-specific outputs without re-entering facts.

## Contents

- `architecture.md` - operating model, lifecycle, design rationale, standards mapping, UI and automation recommendations.
- `data_model.md` - canonical incident model, field inventory, validation rules, database schema notes, retention and access-control model.
- `schemas/incident.schema.json` - JSON Schema for the canonical incident object.
- `schemas/database.sql` - relational schema for a production implementation.
- `schemas/openapi.yaml` - REST API contract.
- `schemas/schema.graphql` - GraphQL schema.
- `schemas/types.ts` - TypeScript interfaces and enums.
- `templates/templates.md` - report, communication, status page, regulatory, and audit templates.
- `examples/aerialytic-prod-latest-data-integrity-incident.md` - sample completed incident using realistic data from the 2026-07-06 prod/latest incident.
- `examples/category-playbook-matrix.csv` - supported incident category matrix.
- `incident_framework_manifest.json` - package manifest and generation map.

## Core Principle

Enter facts once. Generate many outputs:

- Engineering reports
- Security and forensic summaries
- Executive briefs
- Customer notices
- Status page updates
- Slack/Teams updates
- Regulatory drafts
- Audit trail and evidence registers
- RCA and postmortem artifacts

The model is category-extensible by design: categories are records with tags and playbook bindings, not hard-coded schema enums.

## Implementation Priorities

1. Preserve auditability: every state transition, edit, evidence touch, and decision is recorded.
2. Separate fact collection from audience-specific wording.
3. Treat evidence as immutable by default, with hash, chain-of-custody, retention, and classification metadata.
4. Support reliability, security, privacy, compliance, and business-continuity extensions on the same incident object.
5. Prefer automation suggestions over automatic customer notification unless approval rules are satisfied.