Security & AI trust
Built for reviewable AI, not blind automation.
ProposalFirewall keeps the compliance workflow anchored to citations, reviewer decisions, and customer-controlled records. The goal is to help teams move faster without hiding the evidence trail.
Enterprise security review
Bring your data-handling requirements, retention rules, and procurement checklist. We will map the product controls and flag anything that needs a custom enterprise path.
Read AI data handlingBook security reviewSource-linked outputs
Requirements, evidence, crosswalks, and review queues are designed around source pages and sections so reviewers can verify before relying on AI output.
Human approval path
Trust Gate flags weakly supported or low-confidence items for reviewer judgment. AI assists the workflow; people own final proposal decisions.
Workspace access controls
Solicitation data is scoped to authenticated workspaces with owner/admin controls, invite flows, and role-aware product areas.
No foundation-model training
Uploaded solicitations and proposal documents are not used to train foundation models. Documents are processed to provide the service.
Review artifacts
What your team can inspect
Security and compliance buyers usually need more than an AI promise. These are the product artifacts ProposalFirewall is designed to make visible during review.
Sensitive government data boundary
Do not upload classified information.
For CUI, export-controlled, or agency-restricted material, confirm contract and agency obligations before upload.
FedRAMP, CMMC, SOC 2, GovCloud, on-prem, and SCIF requirements should be reviewed with us before enterprise rollout.
Certification posture
Precise claims only.
Federal security terms have specific meanings. This page separates current product controls from certifications or authorizations that require independent evidence.