0.1 Second Recovery
Detect, reverse, and regenerate compromised data in real time — with zero operator input. Resiliate® uses Cybernetic Engram® AI to stop threats before you even know they happened.
Explore How It Works0.1 Second Recovery
From breach to rollback in milliseconds
What It Means
Resiliate® powered by Cybernetic Engram® AI is capable of recovering compromised or corrupted data within 0.1 seconds of detecting an anomaly — without relying on backup agents, or remote services.
Key Outcomes:
- Sub-second Recovery Point Objective (RPO)
- System-aware, zero-operator autonomous rollback
- Minimal to no operational disruption
How It Works
When a data block is learned by a Cybernetic Engram®, its neural weight matrix is stored as a versioned and cryptographically anchored representation. Subsequent changes to that block — whether writes, edits, or transforms — are:
- Analyzed in real-time using behavior-aware sequence models
- Validated or rejected by embedded verification neural networks
- Rollback triggered automatically when deviation exceeds threshold
Because the engram already contains previous versions as AI weight vectors, rollback doesn’t require disk reads or restores. It’s as simple as:
load(weights_v[N-1]) generate(data_block) replace(current)
Execution occurs entirely in memory or in-place, often within ~100ms
on modern SSDs or memory-resident workloads.
It’s Faster Than Traditional Methods
Method | Avg. RPO | Trigger Delay | Data Resolution |
---|---|---|---|
Hourly Snapshots | 30–60 min | Human/operator | File-level |
Backup Agents | 1–4 hrs | Alert/manual | Directory or VM image |
Cybernetic Engram® | < 0.1 sec | Autonomous (no ops) | Byte-level |
Common Scenarios
- Ransomware Mitigation: Engram detects entropy shift and rollbacks occur in-place.
- File Tampering: Unauthorized code injection triggers self-healing to last trusted state.
- Edge Instability: Resiliate® restores real-time log buffers at the endpoint from last memory-bound engram.
Backed by Patent US12045224B2
All recovery and restoration processes are protected by patent claims for self-healing and self-defending neural data structures, ensuring provable integrity and novel innovation.