Evidence before adjectives.
Claims made for custom work tie back to a named artifact, task protocol, configuration, and evaluation result.
ABOUT BLACKFROST
The model layer for defensive AI.
Blackfrost is a founder-led cybersecurity AI company that fine-tunes and post-trains open-weight models for defensive analysis and controlled agentic workflows. Exact model-weight releases and private hosting are separate offers.
[ WHY BLACKFROST EXISTS ]
Defensive teams need more than a capable checkpoint.
General-purpose models can be capable, but defensive workflows demand behavior shaped around evidence, scope, tooling, and operational boundaries. Blackfrost engineers that model layer without pretending it replaces the systems of record and controls around it.
Custom engagements fine-tune and post-train open-weight models for a defined mission. Separately, the Model Store licenses exact model-weight releases, while Hosting engagements design scalable serving systems. Each offer states what it includes and excludes.
[ FOUNDER / 01 ]
Founder-led by design
FOUNDER · AI & CLOUD SOLUTIONS ARCHITECT
Terrell A. Lancaster
Terrell is a security practitioner and U.S. Army veteran with 9+ years across cloud security, IT operations, and engineering leadership. His work spans secure agentic systems, zero-trust infrastructure, AI governance, and private cloud architecture.
That background shapes Blackfrost's operating stance: model capability matters only when the artifact, authority, evidence standard, and deployment boundary are explicit.
9+ yearsSecurity, infrastructure, and IT leadership
8 yearsUnited States Army service
Las VegasFounder and company base
[ OUR POINT OF VIEW ]
Capability has to survive contact with the operating environment.
A model is one layer. Identity, permissions, data boundaries, tool access, logging, containment, approval gates, and incident response determine what it can actually do inside a real system.
Custom engagements tie behavior to named acceptance criteria. Catalog releases disclose artifact details and exclusions. Hosting scope connects a selected model to capacity, observability, security controls, and an agreed operational handoff.
See custom model engineering →[ OUR STANDARD ]
Four principles govern the work.
Authority stays outside the model.
Identity, permissions, tool access, logging, approval, and containment remain system controls.
Methods serve the mission.
Fine-tuning, post-training, distillation, quantization, and serving are engineering choices—not the product story.
Boundaries are part of delivery.
Every offer identifies its licensed or commissioned scope, deployment assumptions, and explicit exclusions.
[ HOW BLACKFROST SHOWS UP ]
Commercial engineering and public work, with the lines kept clear.
Custom models
Mission-specific fine-tuning, post-training, evaluation, and artifact preparation.
Model releases
Licensed access to the exact model-weight repositories named on each product page.
Private hosting
Separately scoped serving systems built around capacity, security, and operating requirements.
Community
Independent projects, including Shadow CLI, governed by their own licenses.
START WITH THE DEFENSIVE WORKFLOW