BioSafety Africa provides a three-tier biosecurity OS designed to bridge the infrastructure-sovereignty gap. We enable advanced screening in environments where high-compute hardware and reliable internet are unavailable.
# BioSafety Africa ππ‘οΈ
**Edge-Native Biosecurity Ecosystem for Resource-Constrained Environments**
*Democratizing biosecurity through accessible, offline-native AI threat detection.*
## π The Mission
BioSafety Africa provides a three-tier biosecurity OS designed to bridge the infrastructure-sovereignty gap. We enable advanced screening in environments where high-compute hardware and reliable internet are unavailable.
## π Key Features
- π§ **Offline AI Engine**: CPU-optimized ESM-2 8M protein language model for functional threat detection.
- π§ **Firmware Guard**: Real-time synthesizer intercept scanning for assembly scars (BsaI/BsmBI) to defeat Edison-style bypasses (Nature Comm. 2026).
- π **Federated Network**: Privacy-preserving hash exchange compatible with WHO Go.Data and WaSPP 2025 standards.
- π£οΈ **Multilingual SOPs**: Standard Operating Procedures in English, French, Arabic, Swahili, and Portuguese.
- π° **Economic Sustainability**: Localized screening costs reduced to **Full Governance Report:** docs/calibration_history.md
### Limitations & Dual-Use Considerations
* **False Negatives:** Model sensitivity is limited by the quality of the ESM-2 8M embeddings; high-divergence novel pathogens or heavily "cloaked" sequences may require human SME review.
* **Dual-Use Risk:** This tool is designed strictly for identification and defense. It does not provide synthesis protocols, media recipes, or weaponization guidance. To prevent misuse, "Scientific Neutrality" identification prompts are strictly decoupled from tactical "Alert" prompts in the system architecture.
* **Ethical Consideration:** We prioritize **Sovereign Data Ownership**. The system ensures threat hashes are shared for global security while keeping raw, sensitive genomic sequences within local institutional control.
* **Future Improvements:** Integration of larger ESM models (3B+ parameters) for zero-shot detection of synthetic "dark matter" sequences not found in current databases.
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