Review the whole composition
See the declared system boundary instead of assessing isolated components without their intended relationships or deployment choices.
FOR SECURITY & GOVERNANCE TEAMS
Review AI system evidence in its full context.
Viorant gives security and governance teams a clearer object to review: a portable `.vio` definition that composes meaningful artifacts, alongside stated evidence that Trust can verify when the process calls for it.
AI SYSTEM RECORD
01
ArtifactsSigned, versioned system parts
02
.vioPortable system composition
03
Supported targetExplicit transformation or deployment choice
WHAT THIS MAKES POSSIBLE
Make the AI system easier to understand.
Check stated artifact evidence
Trust is designed to verify artifact identity, integrity, provenance, signatures, and stated evidence in a review workflow.
Keep the control point neutral
A neutral definition supports governance conversations without requiring one vendor, runtime, or hosting model to become the architecture.
USE CASES
Put the system record to work.
Three practical ways security & governance teams can use a declared AI system boundary to move a real decision forward.
Prepare evidence for an AI release review
Situation. A review board needs to understand the system being released and the evidence associated with its meaningful parts.
Use the declared composition to connect evidence review to the full system boundary.
- 01Identify the artifacts and stated evidence relevant to the decision.
- 02Review the `.vio` definition to establish which artifacts belong to the declared system.
- 03Use Trust to verify stated identity, integrity, provenance, signatures, and evidence where required.
Review point. Does the evidence answer a question about the declared system, rather than an isolated component?
Investigate a change without losing system scope
Situation. A reviewer is asked about one configuration or artifact but needs to understand where it sits in the intended AI system.
Start from the portable composition, then narrow the investigation while keeping the boundary visible.
- 01Locate the artifact in the `.vio` composition and inspect its declared relationships.
- 02Check the relevant stated evidence with Trust as part of the investigation.
- 03Record the review finding against the declared target and system context.
Review point. What system-level assumption would be missed if the artifact were reviewed by itself?
Coordinate a governance sign-off across functions
Situation. Security, architecture, product, and operations need different assurances before the system progresses.
Give each function the same neutral definition while keeping their approvals and policies distinct.
- 01Agree the composition is the specific system under review.
- 02Assign evidence and target questions to the relevant reviewers.
- 03Use the outcome to decide whether the definition is ready for a supported transformation or deployment path.
Review point. Are sign-offs tied to an explicit system and target, rather than a general claim of readiness?
THE DEPLOYMENT PATH
From system parts to a supported target.
A `.vio` definition keeps the complete AI system composition legible through the next workflow decision.
- 01
Identify the artifacts and evidence relevant to the decision.
- 02
Review the `.vio` definition as the declared complete system composition.
- 03
Use Trust to verify artifact identity and stated evidence where required.
- 04
Confirm any transformation or deployment is directed to a supported target.
THE VIORANT SYSTEM
Use the surfaces that fit your workflow.
QUESTIONS, ANSWERED
For Security & governance teams.
01Does Trust certify compliance?+
No. Trust verifies stated artifact evidence. Compliance conclusions remain a matter for the applicable policy, controls, and reviewers.
02What is being governed?+
The reviewable object is the declared AI system composition in `.vio`, including its meaningful artifacts and stated deployment choices.
03Can the definition support different deployment decisions?+
Yes, as long as the target is explicitly supported and the resulting configuration is reviewed for that environment.
AI DEPLOYMENT INFRASTRUCTURE
Start with a system record your team can review.
Explore the local-first Hub workspace or talk with Viorant about the deployment path you are considering.