Enterprise deployment and controlled code processing.
Choose tenant-isolated SaaS or a dedicated Kubernetes deployment while keeping source-code processing, identity, retention, auditability, backups, and recovery under defined controls.
Run Farion in the environment that fits your organization.
Shared SaaS
Hosted in Germany, tenant-isolated.
Dedicated
From 100 contributors on most Kubernetes clusters — in your cloud or your data centre (cloud-native stack).
On-premises and air-gapped
On the Enterprise plan.
Indicative GPU memory for local AI operation on a dedicated or on-premises deployment: approximately 120 GB VRAM, depending on model and deployment configuration.
Connect enterprise identity without creating a separate access model.
Farion uses ORY identity and authorization components, including Hydra and Keto. Enterprise identity providers can be connected to the deployment and access model.
Send only the evidence required for the finding.
Customer code is never used for model training. The complete repository is never sent to a language model. Farion’s static analysis selects only the code excerpts needed to evaluate a finding, and those excerpts are processed by our security SLMs in Germany.
Delete the checkout while preserving reviewable finding evidence.
The complete repository checkout is deleted after the scan. Findings and the code excerpts required to understand and reproduce them remain available as evidence. Enterprise customers can configure the retention period for this evidence.
Keep security workflows recoverable and auditable.
Farion provides audit logs, backups, and disaster-recovery processes. Dedicated deployments can include customer-specific integrations, APIs, webhooks, reporting, identity, and retention requirements.
Run verification only against approved targets.
Active Verification is enabled only after target ownership or explicit authorization has been confirmed. Tests run against URLs and environments configured by the customer.
Frequently asked questions
No. Customer code is never used for model training.
No. The complete repository checkout is deleted. Findings and the relevant code excerpts remain as reviewable evidence, with configurable enterprise retention.
See how Farion works on your application.
Request a guided evaluation or walk through the relevant workflow with our technical team.