Patent US12045224B2
Self-aware, self-healing, and self-defending data objects powered by Cybernetic Engram® — the world's first neural network architecture designed to replace, protect, and recover data at the block level.
Read the Full Patent🧠 Technical Core: How the Cybernetic Engram® Works
1. Neural Block Substitution
Traditional storage keeps passive byte streams. In contrast, Resiliate® replaces each data block with a trained neural model (Cybernetic Engram®), using:
Sequencing Neural Networks trained to reproduce the block.
Weights stored instead of raw data.
Input keys triggering data reconstruction upon access.
2. On-Demand Verification and Healing
Each Engram is augmented with:
Verification Neural Networks that validate output integrity.
Authentication Networks for secure identity-aware access.
Fallback Weights allowing rollbacks and healing on corruption.
3. Adaptive Security and Controls
Engrams include metadata-sensing logic:
Access control baked into weight logic.
Semantic diffs flag abnormal updates.
AI dynamically permits or rejects writes based on principal component analysis.
🔐 Example: A ransomware-encrypted Word file is blocked as its entropy and PCA no longer match the original Word document signature
🌐 Deployment & Infrastructure
Cybernetic Engram® supports:
Cloud-native distributed storage
Blockchain-based weight storage (optional)
Air-gapped and embedded environments
Kernel-mode integration for filesystem overlays
Related resource: docs.saf.ai/engram-deployment
Capability | Traditional File Systems | Resiliate® CE AI |
---|---|---|
Real-time Recovery | ❌ | ✅ (under 0.1s) |
Autonomous Access Control | ❌ | ✅ |
Tamper-Evident Audit Trails | ❌ | ✅ |
AI-Based Semantic Classification | ❌ | ✅ |
Decentralized Block Auth | ❌ | ✅ |