Neural Sentinel (C1-NS) relies on mathematical behavior analysis, not cloud signatures. We protect classified networks, SCADA systems, and air-gapped data centers from unknown ransomware strains with sub-millisecond precision.
We bypass user-space bottlenecks entirely. By hooking directly into Windows ETW and Linux eBPF, we achieve zero-copy memory buffer inspection of every `FileWrite` system-wide.
No signatures required. The agent calculates the Shannon Entropy of file streams in real-time. We instantly detect the mathematical anomaly when structured data turns into randomized, encrypted data.
Our Random Forest AI model is bundled as a hyper-optimized `.onnx` payload. It requires less than 15MB of RAM to evaluate an I/O feature vector in under 50 microseconds.
If the AI confidence threshold is breached, the agent immediately terminates the PID and autonomously injects firewall rules (`netsh` or `iptables`) to block outbound C2 server communications.
Forensic dumps are automatically encrypted with AES-256-GCM and cryptographically signed with an Ed25519 private key, guaranteeing incident responders that the logs were not tampered with.
We silently scatter invisible, high-value decoy "Honeyfiles" across your network. Any automated process that attempts to modify these tripwires triggers an instant killswitch.
Traditional EDRs fail when disconnected from the cloud. Neural Sentinel is shipped as a statically compiled, standalone executable with Cryptographic Offline Licensing.