CMS EDE active wedge
Deep source-native CMS EDE evidence collection, private-runner workflow, evidence package gates, and sandbox agent demo.
ControlFrame turns framework obligations into executable evidence plans, private-runner jobs, validated artifacts, reviewer decisions, and auditor-ready package gates.
Framework-shaped agents plan collection, inspect sufficiency, map artifacts, flag redaction risk, and draft reviewer next actions without bypassing human approval.
Private runners and approved connectors collect browser, API, cloud, identity, code, ticket, document, and storage evidence while target access stays inside the customer or operator boundary.
Evidence does not become package-ready because it exists. It moves through source mapping, validation, sensitive-data review, human decisions, manifest checks, and package readiness gates.
CMS EDE source rows and broader framework controls stay visible before collection starts.
ControlFrame defines expected artifacts, file formats, owners, due dates, and review gates by control.
Collection executes through private runner custody, source-system integrations, or controlled client upload.
Artifacts carry storage references, source, file type, version, hash, sensitivity flags, and chain-of-custody events.
Agents flag sufficiency and risk. Reviewers accept, reject, request revisions, or hold for redaction.
Only accepted, current, package-eligible evidence moves into manifests, reports, and controlled exports.
Competitors market AI assistants, agents, mapping, validation, and remediation. ControlFrame differentiates on governed evidence execution.
Connector breadth matters, but the premium wedge is whether evidence is mapped, scored, reviewed, packaged, and defensible.
Auditors still need artifacts, provenance, scope, timestamps, reviewer decisions, and package traceability.
ControlFrame can feed GRC systems while owning the hard work of collecting and defending audit proof.
Customer-side collection is the right posture for CMS EDE, healthcare, financial services, federal, and sensitive SaaS audits.
Evidence scoring, source mapping, redaction, hash checks, and human gates turn artifacts into a reviewable package.
Deep source-native CMS EDE evidence collection, private-runner workflow, evidence package gates, and sandbox agent demo.
SOC 2, HIPAA, HITRUST, PCI, ISO, NIST, FedRAMP, CMMC, and AI governance move through the same evidence execution chain.
Jira, GitHub, ServiceNow, S3-compatible storage, SharePoint, Google Drive, Slack, Teams, Confluence, and report exports are modeled as governed evidence channels.