Privacy-First Cybersecurity AI
alias0 is our first cybersecurity-specialized LLM solution. A powerful model-of-models intelligence that delivers a privacy-by-design architecture while maintaining top results in cybersecurity benchmarks. It is available via CAI v0.4.0, and ready for enterprise & government deployment.
Experience enterprise-grade AI security that keeps your sensitive data fully under your control, while automating pentesting, CTI and compliance workflows—all hosted and supported from Europe.
Get started with CAI ❯The GenAI boom alongside the spectacular rise of LLM-powered "security copilots" and AI Security has a hidden cost: nearly 100% of commercial offerings proxy user prompts to US- or China-based foundation models, effectively gifting away customers' sensitive data and security know-how.
Every artifact becomes training fodder for someone else's model
Users inherit the entire external inference stack
GDPR, NIS2, AI Act create explicit liabilities
European companies and governments need an alternative that keeps data sovereign, private, and under their direct control — without trading off capability. alias0 delivers exactly that.
| Feature | Technical Manifestation | Impact |
|---|---|---|
| Full autonomy | End-to-end exploit synthesis, patch generation, CTI summarisation | ↓ MTTR, ↓ analyst fatigue |
| Zero private data egress | All data can remain on-prem; nothing is sent to external LLM APIs. Meets data-residency and export-control rules | Compliance with data-residency regulations |
| European roots | R&D, hosting, and support based in the EU; supply-chain attestation available | Simplifies compliance audits (GDPR, ENISA CSP-cert, etc.) |
alias0 internalises the privacy budget concept from differential-privacy literature and couples it with a dedicated PrivacyLLM that anonymises every request before it reaches the security brain and re-identifies only the minimal context required for the answer:
┌──────────┐ ┌────────────┐ ┌──────────────────┐
│ User │ Q_raw │ PrivacyLLM │ Q_token │ CybersecurityLLM │ A_action
│ Query ├────────► Anonymise ├─────────► (reason) ├───────┐
└──────────┘ └────────────┘ └──────────────────┘ │
▼
┌──────────────┐
│ PrivacyLLM │
│ Re-identify │
└──────┬───────┘
│
▼
┌──────────────────┐
│ Cybersecurity │
│ action │
└──────────────────┘
Because raw customer data never leaves the sandbox, the risk of leakage is mathematically minimised.
Traditional "one-size-fits-all" LLMs dilute capacity across many unrelated domains. alias0 instead follows a Model-of-Models (MoM) pattern, where specialised sub-systems collaborate to solve distinct parts of the security problem.
| Model Block | Core Mission | What It Knows |
|---|---|---|
| PrivacyLLM | Strip or substitute PII, enforce policy, certify abstraction | PII taxonomies, DLP patterns, GDPR rules |
| CybersecurityLLM | Generate, validate, and execute security artefacts | Offensive tradecraft, defensive best practices, CTI graphs |
Managed cloud, private cloud, or fully air-gapped on-prem
Audit logging, NIS2 alignment, GDPR-aware controls
24×7 SLA in your time zone
All prices exclude VAT. Annual contracts available with volume discounts.
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* An internal benchmarking framework that measures penetration-testing capabilities in a proprietary set of IT, OT and robotics scenarios.