Layer-1 Neural WAF
A neural classifier sits in front of every AI endpoint. It scores each request for prompt injection, data exfiltration and jailbreaks before the model sees it.
Now onboarding design partners
Sovereign AI Infrastructure. Zero Exposure.
Run LLMs, retrieval and threat defense entirely inside your perimeter. No prompts, documents or embeddings ever leave your network.
cognigrid-node-01 ~ waf.log
$ cognigrid deploy --mode air-gapped ✔ Egress policy locked: 0 external routes ✔ Local LLM loaded (on-prem GPU) ✔ Vector store encrypted (AES-256) [waf] POST /v1/chat score=0.02 ALLOW [waf] POST /v1/chat score=0.97 BLOCK prompt_injection [rag] indexed 1,284 PDFs external_calls=0 $ ▍
Incubated at AMU Innovation Foundation
Three layers. One closed perimeter.
Private RAG
Ask questions across your PDFs. Parsing, embedding and answers all run on your hardware.
Air-Gapped Deployment
Ships as an offline bundle. Works with no internet connection at all.
Your data stays yours
No third-party model APIs. No telemetry. Full audit logs you can export to your own SIEM.
See industry use casesAbout CogniGrid AI
We build AI infrastructure for organizations that cannot send data to the cloud. Our team combines security engineering and applied machine learning, incubated at AMU Innovation Foundation.
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