The evidence execution layer beneath enterprise GRC

Evidence contracts and private collection

ControlFrame defines the expected proof, accepted source, collection method, file contract, sensitivity posture, freshness window, and reviewer gate before work is dispatched.

• Signed runner jobs can be claimed, leased, heartbeated, retried, cancelled, and completed.
• Browser, API, cloud, identity, code, ticket, storage, and manual evidence share one artifact contract.
• Production, prepared-demo, and deterministic fixture states remain visibly distinct.

Operator value: Collection begins with a defensible evidence plan instead of an open-ended request for screenshots.

Document and artifact repository

The repository stores evidence as governed objects rather than loose files. Each object carries source authority, version, checksum, owner, sensitivity, freshness, storage reference, review state, and every control mapping.

• Document intake keeps accepted file types, requirement context, owner, due date, and common rejection reasons together.
• Artifact preview, sidecars, validation results, and custody events remain attached to the same repository object.
• Evidence can support multiple programs without duplicating or obscuring the source artifact.

Operator value: Compliance teams and auditors can answer where an artifact came from, what changed, who reviewed it, and where it was used.

Control graph and GRC workflows

Framework-native obligations project onto one canonical control spine while requirement context, risk, owner, finding, exception, remediation, and evidence-reuse decisions remain explicit.

• Source-native requirement IDs remain first-class throughout mapping and review.
• Cross-framework reuse is recorded as direct, supporting, or reviewer-required—not automatic satisfaction.
• Findings and blocked controls route to an accountable owner with evidence and decision context.

Operator value: ControlFrame can complement an enterprise GRC system while owning the evidence execution truth underneath it.

Agent review and human authority

Framework-shaped agents can plan collection, inspect sufficiency, identify sensitive data, explain gaps, and draft reviewer next actions without approving their own output.

• Recommendations include control references, artifact references, confidence, and risk flags.
• Redaction and package eligibility stay fail-closed when required review is incomplete.
• Reviewer notes, client-visible notes, and internal operating notes remain separated.

Operator value: AI reduces evidence handling work without taking judgment, signature, or accountability away from authorized people.

Audit package release and verification

Approved artifacts, manifests, source mappings, checksums, custody events, reviewer decisions, and eligible governed receipts assemble into a controlled release.

• Missing, stale, rejected, sensitive, and unreviewed evidence blocks release when policy requires it.
• Release history retains package versions, eligibility state, and export references.
• Eligible receipts use signed, hash-linked records that can be verified without a ControlFrame session.

Operator value: Auditors receive a defended package and review trail instead of a folder assembled at the end of the audit.