Security is the architecture.

How we protect your data — by design, not by promise.

Your data never leaves

The strongest security control is topology. A private LLM inside your perimeter means your documents, prompts and outputs never transit a third-party API. There is no provider to trust, because there is no provider in the loop.

Models are open-weight and auditable. Inference runs on your hardware. Updates are applied by us, inside your environment, under your supervision.

Israeli-grade practice, French-grade compliance

For hardened deployments we collaborate with specialised security firms from the Israeli ecosystem — penetration testing, network segmentation, monitoring. On the compliance side, our architectures are GDPR-native and designed with the EU AI Act in mind; for LATAM deployments, Argentina's Ley 25.326 and its EU adequacy status are built into the design.

Security review available as a standalone engagement — including a second opinion on an existing AI deployment.

PRIVATE LLM

Air-gap option

Fully offline deployments for sensitive environments — the model works with zero internet connectivity.

Your keys, your access

Authentication and access control integrated with your existing identity systems. We hold no keys to your data.

Auditability

Open-weight models, logged inference, inspectable RAG sources. Your auditors can see everything.

Sovereign hosting

On-premise first; when cloud is required, European sovereign providers under your contract.

LLM × CYBER

LLMs in cybersecurity: a paradigm shift in threat intelligence

Large language models are transforming how security teams see, triage and respond. The same architecture that answers your business questions can read millions of log lines, correlate indicators of compromise across sources, summarise a malware report in seconds and draft an incident response playbook adapted to your stack.

Deployed privately, this capability stays inside your perimeter: your threat data, your detections, your playbooks — never shared with an external API. It is the convergence of our two worlds: sovereign AI infrastructure and Israeli-grade security practice.

Read the research article ↗

Further reading — A. Mawgoud, "LLMs in Cybersecurity: A Paradigm Shift in Threat Intelligence" (Medium)

Threat intelligence

LLM-assisted correlation of IOCs, CVEs and dark-web signals into readable briefs.

SOC copilot

Natural-language querying of logs and alerts; triage that used to take hours takes minutes.

Adversarial awareness

We also harden against the other side: prompt injection, data poisoning and model abuse.