AI compliance evidence
Assemble AI governance evidence before the review starts
Halo joins supported AI inventory with policy decisions, approvals, configuration changes, and exportable audit records. Governance teams can use that context in their own review process and maintain their own control mapping.
Outcomes
What you can show after the pilot
Inventory with source context
Show selected classifications with source and confidence for the AI records in scope.
A trace from policy to review
Show a sample policy decision or approval record with its related reviewer question and follow-up.
An export with stated scope
Show audit or gateway records in CSV or JSON alongside the review notes and open questions.
The challenge
Evidence needs context and ownership
Inventory, approvals, and policy records can sit in different workflows, while reviewers still need to interpret evidence against their own program.
Inventory needs provenance
A classification is easier to review when the source and confidence of a finding are visible alongside its status.
Approvals need a traceable record
Reviewers need context for which higher-impact actions waited for a decision and how the approval or denial was recorded.
Programs need their own interpretation
Exported decisions and configuration changes can inform a control review, while the organization determines how evidence fits its requirements.
How Halo solves it
Connect inventory to evidence review
Bring discovery context and runtime decisions into an evidence set that reviewers can filter, export, and interpret within their program.
Discover
AI Inventory and AI BOM
Review AI entries with classification, source, and confidence, then export an AI BOM in CycloneDX, JSON, or CSV. This establishes which inventory records belong in the review scope.
Govern
Policy Engine
Use versioned policy bundles and decision explanations to show how selected rules evaluate supported activity. Those outcomes give reviewers a link between policy configuration and runtime records.
Secure
Human Approvals
Hold higher-impact actions for human review and record the resulting approval or denial. These events add a reviewer decision to the evidence trail.
Govern
Audit and Evidence
Record decisions, approvals, denials, costs, and configuration changes, then export audit logs and gateway decisions in CSV or JSON. The exports provide records for the next review step.
Govern
Governance Dashboard
Use inventory views, audit statistics, decision timeseries, and cost analytics to prepare review questions. Governance owners can use those views to guide their own review cadence.
Who's involved
Keep evidence decisions with accountable teams
Governance leads interpret program requirements, while security, platform, and builder teams provide operational context.
Governance, risk, and compliance
Often starts here
Define the review scope and evidence expectations, maintain control mappings in the organization’s process, and decide how exported records support the program.
Security leaders
Explain policy outcomes and approval paths, review recorded exceptions, and provide security context for selected decisions.
IT and platform teams
Identify which inventory and gateway records are in scope, coordinate evidence exports, and document the configuration changes relevant to review.
AI builders
Describe the agent workflow and its model and tool paths, then answer reviewer questions about the actions and owners represented in the records.
Suggested pilot
Suggested evidence review pilot
This is a suggested plan, and timing depends on your environment, the records in scope, and the review process you use. If browser or endpoint discovery is included, rollout is guided by the Halo team.
- Week 1
Define the review scope
Set up a list of AI systems, policy decisions, approval events, and configuration changes for review. At the end of the week, teams can show the scope, evidence questions, and reviewers.
- Weeks 2 and 3
Gather inventory and runtime records
Set up the inventory filters, policy and approval records, and dashboard views relevant to the scope. At the end, teams can show a sample of classified inventory and decisions with source context.
- Week 4
Export evidence for reviewer inspection
Set up the export process and produce audit or gateway records in CSV or JSON. At the end, teams can show the export, its scope, and questions that require interpretation.
- Week 5
Record program follow-up
Set up the review notes and follow-up process in the organization’s existing governance workflow. At the end, teams can show which evidence was considered and which control questions remain open.
FAQ
Questions, answered
No. Halo records and exports evidence that may support a governance program, but it does not make an organization compliant with a law or framework.
No. Halo provides inventory, policy decision, approval, and configuration records for review. Your organization interprets requirements and maintains its own control mapping.
Audit logs and gateway decisions export in CSV and JSON, and AI BOM data exports in CycloneDX, JSON, and CSV. The export format and scope depend on the record type selected for review.
Halo inventory includes classifications, source, and confidence, and it does not assign organizational owners. Keep accountable roles in the organization’s existing governance register and reconcile them with supported findings.
Halo supports approval gates for higher-impact actions and records approval events. Governance leads set the review cadence and decide when an approval needs follow-up.
Plan your AI compliance evidence pilot
Bring one real use case to a walkthrough. We will map what you need to see, the decisions you need to make, and the evidence your team will review.