Live Governance Dashboard
Real-time transparency from a production AI platform. Not a whitepaper — a live system governing 129 autonomous agents across 16 departments, 24 hours a day.
THE C.R.E.E.D. TRANSPARENCY FRAMEWORK
The C.R.E.E.D. Transparency Framework is our flagship governance standard — a machine-enforceable specification for monitoring AI systems in production. Unlike voluntary guidelines, the framework produces measurable, auditable, real-time compliance data.
Every action taken by an AI agent passes through an ethical review pipeline. Human-in-the-loop approval gates ensure that cost-sensitive, security-critical, and ethically complex decisions require human authorization before execution. Every decision is logged to an immutable governance audit trail.
What It Measures
- ▶ Ethical review pass/fail rates
- ▶ Human-in-the-loop approval rates
- ▶ Governance audit trail completeness
- ▶ Agent welfare monitoring scores
- ▶ Compliance rule enforcement rates
Frameworks Monitored
- ▶ DISA STIG (Server Hardening)
- ▶ SOC 2 (Trust Service Criteria)
- ▶ HIPAA (Health Data Protection)
- ▶ CIS Benchmarks (OS Hardening)
- ▶ Network STIG (Infrastructure)
Grade Scale
LIVE METRICS
These numbers are drawn from the production A.R.C.H.I.E. platform. Updated continuously.
LIVE GOVERNANCE DATA
Fetched live from the C.R.E.E.D. API. Auto-refreshes every 60 seconds.
HOW IT WORKS
The C.R.E.E.D. Transparency Framework operates as a continuous four-stage pipeline that turns compliance rules into live, verifiable governance data.
SCAN
Automated compliance scanning runs every 6 hours across all infrastructure, containers, and network configurations. 178 rules evaluated per cycle.
SCORE
Each rule is evaluated and weighted by severity (low, medium, high). Findings are tracked with full remediation paths and SOC 2 control mappings.
REPORT
Live SVG badges and dashboards update automatically with current scores. Grade-scale badges (A+ through F) provide at-a-glance compliance posture.
ENFORCE
Automatable findings are remediated instantly via one-click repair. Critical or ambiguous findings are escalated for human review through Tier 2 approval gates.
COMPLIANCE FRAMEWORKS
Five industry-standard compliance frameworks are monitored continuously. Each framework consists of JSON-driven rule packs that can be extended without code changes.
Ubuntu STIG
Defense Information Systems Agency
Server hardening rules derived from DISA Security Technical Implementation Guides. Covers filesystem permissions, audit logging, SSH configuration, password policies, and kernel parameters.
Docker STIG
Container Security Hardening
Container-specific rules ensuring read-only rootfs, explicit capability drops, resource limits, pinned image tags, no privileged mode, and proper secret management across all containers.
HIPAA
Health Insurance Portability & Accountability
Health data protection rules covering encryption at rest and in transit, access controls, audit trails, data retention policies, and breach notification readiness for protected health information.
Network STIG
Network Infrastructure Hardening
Infrastructure-level rules for firewall configuration, DNS security, TLS enforcement, port management, mesh network security, and inter-node communication encryption.
CIS Ubuntu
Center for Internet Security Benchmarks
Industry-consensus OS hardening benchmarks covering service minimization, filesystem integrity, network stack configuration, logging infrastructure, and user/group access controls.
OPEN STANDARDS COMMITMENT
C.R.E.E.D. Institute is committed to publishing all framework specifications openly. We believe that AI governance standards should be freely available, peer-reviewable, and community-driven — not locked behind paywalls or proprietary licensing.
Our compliance rule packs are JSON-driven and designed to be extended by any organization. New rules can be added without code changes. The framework specification will be released under a permissive open-source license, enabling adoption by governments, enterprises, and research institutions worldwide.
We actively seek collaboration with standards bodies, academic institutions, and policymakers to ensure the C.R.E.E.D. Transparency Framework evolves alongside regulatory requirements including Canada's Bill C-27 (AIDA), the EU AI Act, and Quebec's Bill 64.
Open Specification
Full framework spec published and versioned on GitHub
Extensible Rule Packs
JSON-driven rules — add compliance checks without code changes
Permissive License
Open-source license enabling adoption by any organization
POLICY POSITIONS
C.R.E.E.D. develops evidence-based policy recommendations for AI regulation, transparency mandates, and compliance standards. Read our current policy positions and advocacy priorities.
View Policy Positions →ADOPT THE FRAMEWORK
Whether you run one AI model or a thousand agents, the C.R.E.E.D. Transparency Framework gives you the governance infrastructure to prove — not just claim — that your systems are operating ethically.