Governed AI development for government & defense
When code is read by auditors before users, provenance and control are the product. LineBreak runs AI development locally, gates each phase with role-attributed approvals, and scans releases for known vulnerabilities, producing the evidence trail mission systems require.
What your auditors look for
Access control, supply-chain and vulnerability assurance, and a defensible record of who approved what.
Standards in playFedRAMPITARCMMCIL5
How LineBreak maps to it
- Local-first execution: code never leaves your network, and the agent runs offline within a session.
- Every phase approval is a role-attributed record in your git repo.
- An optional security gate scans dependencies and agent-written code for known CVEs.
- On-prem and bring-your-own-model, including vLLM or a tenanted Bedrock / Azure.
Frequently asked
- Can it run disconnected?
- It runs offline within an active session; license activation and refresh are online-only; full offline activation is out of scope for v1.
- Is there a record of who approved what?
- Yes: every approval is a role-attributed, plain-markdown record in your git repo, diffable and reviewable.
- Does it support on-prem models?
- Yes: vLLM or a tenanted Bedrock / Azure OpenAI.