# llms.txt — LLM context file for digitaltwin.compliancehub.wiki
# Follows the llms.txt standard (https://llmstxt.org/)
# Last updated: 2026-04-09

# Digital Twin Risk Assessment Calculator

> A free, browser-based security and privacy risk assessment tool for people using digital twin technologies, biotech devices, wearable health monitors, and AI-connected health platforms. Users receive a personalized risk score (0–100) and actionable recommendations.

## What This Tool Does

The Digital Twin Risk Assessment Calculator helps individuals evaluate the privacy and security risks of their personal health technology ecosystem. It covers seven risk dimensions:

1. **Biotech Devices & Data Types** — implantables, wearables, environmental sensors, genetic data, brain-computer interfaces, metabolic monitors, custom firmware, RFID implants, neurostimulators, AI health coaches
2. **Data Handling Practices** — cloud vs. local storage, third-party sharing, encryption, anonymization, update cadence, biometric auth, secure protocols
3. **Security Measures** — password hygiene, 2FA, backups, network segmentation, physical security, audit logs, emergency access, proximity verification
4. **Genetic & DNA Technologies** — sequencing, genome editing, mRNA therapy, stem cell treatment, commercial DNA testing (23andMe/Ancestry), methylation testing, microbiome analysis, liquid biopsy
5. **Genetic Data Protections** — DNA cryptography, blockchain verification, zero-knowledge proofs, federated learning, access controls, data minimization, consent management, segregated storage
6. **Health Platforms & Ecosystems** — Apple HealthKit, Google Fit, Samsung Health, Fitbit, WHOOP, Garmin Connect, custom APIs, third-party apps, research data sharing
7. **Ecosystem Integration Risks** — multi-device sync, cross-platform sharing, automatic updates, developer API access, legacy devices, multi-user access, healthcare provider access, public APIs, AI health assistants

## Risk Scoring

- Base score: 50
- Each selected risk factor adds points (range: +2 to +5 depending on severity)
- Each protective measure subtracts points (range: -1 to -5)
- Final score clamped to 0–100
- Categories: Low Risk (<30), Moderate Risk (30–59), High Risk (60–79), Critical Risk (80+)

## 2026 Threat Landscape Coverage

This tool is updated for the 2026 threat environment, including:
- **LLM prompt injection** targeting AI health assistants
- **AI-generated medical misinformation** and synthetic health records
- **Neural interface vulnerabilities** (Neuralink, Synchron consumer-grade BCIs)
- **Post-quantum cryptography gaps** — NIST FIPS 203/204/205 published but most health devices have not migrated
- **Deepfake biometric spoofing** using generative AI
- **Digital twin data poisoning** affecting AI-driven treatment recommendations

## Compliance Context

The tool is aligned (not certified) with:
- HIPAA (Health Insurance Portability and Accountability Act)
- GDPR (General Data Protection Regulation)
- ISO/IEC 27001 Information Security Management

## Network of Related Privacy Tools

- [Privacy Rights](https://privacyrights.compliancehub.wiki/) — Know and exercise your data privacy rights
- [PII Compliance](https://pii.compliancehub.wiki/) — Personally identifiable information compliance guidance
- [Biometric Privacy](https://biometric.myprivacy.blog/) — Laws and risks around biometric data collection
- [Breach Alerts](https://notification.breached.company/) — Data breach notification requirements by jurisdiction
- [Global Compliance Map](https://globalcompliancemap.com/) — Interactive map of global privacy regulations
- [Children's Privacy Laws](https://childrenprivacylaws.com/) — COPPA, GDPR-K, and children's data rules worldwide
- [Device Risk Assessment](https://devicerisk.compliancehub.wiki/) — Medical device security evaluation
- [AI Risk Assessment](https://airiskassess.com/) — AI system security and bias evaluation
- [SecureIoT House](https://www.secureiot.house/) — Smart home and IoT security guidance

## Technical Stack

- Next.js 15 (React 19, TypeScript, Tailwind CSS)
- All computation is client-side; no health data leaves the browser
- Hosted at: https://digitaltwin.compliancehub.wiki/

## Optional Files

- Full tool: https://digitaltwin.compliancehub.wiki/
- Sitemap: https://digitaltwin.compliancehub.wiki/sitemap.xml
- AI context: https://digitaltwin.compliancehub.wiki/ai.txt