Custom cybersecurity models
Commission fine-tuning and post-training around a defined defensive or agentic workflow, with named acceptance criteria and deployment constraints.
Explore custom models →CYBERSECURITY MODEL ENGINEERING
Blackfrost fine-tunes and post-trains open-weight models for defensive security and controlled agentic workflows. Commission a system around your mission, or license an exact model-weight release for infrastructure you control.
● Exact revisions · Named licenses · Explicit boundaries · Customer-controlled deployment
Built for defense.
Scoped for control.
[ THE BLACKFROST ROLE ]
Blackfrost engineers and packages the model layer that security teams can evaluate, integrate, and operate inside their own controls. Custom engagements target a defined defensive or agentic workflow; catalog releases provide licensed access to the exact repository named on the product page.
Hosting is optional and separately scoped. Shadow CLI remains an independent open-source project—not software bundled with a model purchase.
[ WHAT BLACKFROST DELIVERS ]
Custom engineering, catalog releases, private hosting, and community software are separate offers with explicit boundaries.
Commission fine-tuning and post-training around a defined defensive or agentic workflow, with named acceptance criteria and deployment constraints.
Explore custom models →License the repository named on the product page, with its precision, footprint, upstream license, revision, intended fit, and explicit exclusions.
Browse model releases →Separately scope capacity, runtime, APIs, scaling, observability, security controls, validation, and operational handoff.
Explore private hosting →Use Shadow CLI and Context Cooler, and follow forthcoming free models and collaborative releases independently of any purchase.
Visit the community hub →[ WHO WE BUILD FOR ]
Defenders, security product builders, and authorized researchers scoping incident analysis, detection engineering, secure-code review, or controlled automation.
Typical requirementA defined task set, evidence standard, bounded actions, and known deployment context.Teams shaping a model for tool use, structured output, multi-step execution, recovery, and explicit human approval points.
Typical requirementRepeatable behavior inside a controlled workflow and a practical serving path.Organizations that need model capability inside deliberate data, access, hardware, and infrastructure boundaries.
Typical requirementA named artifact, traceable configuration, clear limitations, and customer-controlled deployment.Custom-work standard: named acceptance criteria, repeatable task protocol, documented settings, and known limitations.
[ HOW WE WORK ]
A model engagement is defined by its acceptance criteria—not by a demo prompt.
Define the defensive workflow, desired behavior, protected boundaries, target hardware, and acceptance criteria.
Build the fine-tuning, post-training, distillation, or weight-modification path around that requirement.
Test the named artifact against the agreed task protocol and document settings, results, and known limitations.
Provide the licensed or commissioned artifact, evidence package, deployment system, or agreed combination.
[ START WITH THE REQUIREMENT ]
Describe the workflow, evidence standard, target hardware, and operating constraints. We will scope the model engineering, hosting, or both.
Prepare an engineering brief →Keep credentials, regulated data, and proprietary artifacts out of the first message.