Define the basis
Governance teams connect intended use, policy and delegated authority in a basis that platform teams can implement.
Trusted Velocity Framework
Make governance part of how AI operates.
Put controls-as-code at an integrated execution boundary, with explicit authority checks and cryptographically verifiable evidence.
Built for AI platform owners · Governance teams · Risk leaders
What you gainA control decision, its enforcement outcome and evidence for review.
One policy. Two clear outcomes.
Protected action / publish a reportPublication requires release authority.
Check identity, delegated scope and policy before dispatch.
Allowed
Release authority present
Governed dispatch permittedBlocked
Authority absent
No governed dispatchEvidence receipt
Decision + policy context + supported execution outcome
Integrity and attribution can be verifiedApplies at integrated boundaries. A signature does not establish factual truth.
A policy is only useful if it reaches the work.
AI governance often stops at a document or a dashboard. TVF brings assessment, bounded authority, enforcement and review into an explicit operating chain. Each part has a distinct responsibility, so a successful execution is never confused with an approved outcome.
Enforce at the boundary
Platform owners apply controls-as-code to admitted execution paths and inspect explicit allow/block outcomes.
Inspect the evidence
Risk leaders can challenge a control decision using its recorded context and integrity-protected evidence.
Guided demonstrations
Explore how governance, runtime enforcement and verifiable evidence work together in a guided demonstration.
Product availability and demonstration options →What to know
Controls apply to integrated execution paths. A signature supports integrity and attribution; it does not establish that a claim is factually correct.
See how it fits your work.
Bring one AI workflow and the policy decisions that currently depend on manual follow-up.