AI Governance · Risk · Compliance
證明您的 AI 合規——以已證明、經漏洞驗證的證據。
歐盟 AI 法案、NIST AI RMF、ISO/IEC 42001 與 23894、GDPR 覆蓋以及全球格局——在單一的規範控制圖與證據層上得到落地。我們的自主攻擊性驗證基礎設施,現已產品化為面向客戶的審計安全驗證流,將已證明的弱點轉化為審計證據——而非通用掃描器輸出。
Framework coverage
Tier 1 — full operationalization
EU AI Act
L1EU / extraterritorial
Global regulatory anchor for AI compliance.
NIST AI RMF (AI 600-1)
L1US / Global
Widely adopted risk management structure.
ISO/IEC 42001
L1Global
Audit-ready certifiable AI management system.
ISO/IEC 23894
L1Global
Structured AI risk process layer.
GDPR AI/Privacy Overlay
L1EU / extraterritorial
Privacy obligations intersect with most AI systems.
OECD AI Principles
L1Global
Global normative benchmark.
UNESCO Recommendation on AI Ethics
L1Global
Ethical legitimacy and public-sector relevance.
Model Cards
L1Global
Core artifact for model transparency.
System Cards
L1Global
System-level transparency and deployment context.
Datasheets for Datasets / Data Cards
L1Global
Data lineage, quality, and risk evidence.
Algorithmic / AI Impact Assessments
L1Global
Operational risk and accountability artifact.
Also covered
UK / ICOSingapore MGAAI VerifyColorado AI ActNYC AEDTCalifornia AICanada AIAustralia AIJapan AIKorea AIChina generative AI rulesChina recommendation algorithm rulesChina deep synthesis rules
How it works
01
Applicability
Profile each AI system. Engine returns frameworks, risk tier, artifacts.
02
Controls
Obligations map to 23 canonical control domains.
03
Assessments
Question sets per framework → findings with severity & owners.
04
Evidence
Strength-rated, expiry-tracked, linked to controls.
05
Reports
Board, audit, regulator and customer packs — from one assessment.
Industry overlays
Sector-specific controls, assessment logic, and evidence expectations — layered on top of the canonical model.
Financial services
L1High regulation, model risk, outsourcing, consumer harm.
Healthcare / life sciences
L1Safety-critical, sensitive data, validation rigor.
HR / employment
L1Bias, explainability, employment law exposure.
Public sector
L1Accountability, rights impacts, procurement scrutiny.
Insurance
L2Decisioning, fairness, consumer protection.
Education
L2Minors, high-impact decisions, fairness.
Consumer / adtech
L2Profiling, recommender systems, disclosures.
Critical infrastructure / industrial
L2Resilience, safety, incident management.
23 canonical control domains
One backbone. Every framework requirement is an overlay.
CC-01Governance & Accountability
Structures, roles, and oversight for AI.
CC-02AI Inventory & Classification
Registry of AI systems with lifecycle and risk tier.
CC-03Legal & Permissible Use
Prohibited use screening and legal basis.
CC-04Risk Management
AI risk assessment, harm scenarios, residual risk.
CC-05Data Governance
Provenance, quality, sensitive data, retention.
CC-06Privacy & Data Rights
DPIA, minimization, data subject rights.
CC-07Security & Resilience
Access, secrets, segregation, logging.
CC-08Third-Party / Vendor AI Oversight
Vendor inventory, due diligence, contracts.
CC-09Design & Development Controls
Process, model selection, training governance.
CC-10Testing, Validation & Evaluation
Pre-deployment tests, metrics, edge cases.
CC-11Fairness & Bias Management
Bias methodology, impacted groups, monitoring.
CC-12Explainability & Transparency
Internal explanations and user disclosures.
CC-13Human Oversight & Intervention
Review points, override, competence.
CC-14Safety, Robustness & Misuse Resistance
Misuse scenarios, robustness, fallback.
CC-15Deployment Approval & Change Mgmt
Go-live, release process, reassessment.
CC-16Monitoring, Drift & Performance
Monitoring plan, drift thresholds, cadence.
CC-17Incident Management & Escalation
Definitions, reporting, RCA, corrective actions.
CC-18Logging, Recordkeeping & Traceability
Decision logs, evidence linkage, versions.
CC-19Documentation & External Disclosure
Internal docs and regulator-ready dossier.
CC-20Training, Competence & Awareness
Role-based training of control owners.
CC-21Auditability & Assurance
Testable controls and evidence sufficiency.
CC-22Decommissioning & Retention
Retirement, archives, disposal.
CC-23Industry-Specific Safeguards
Sector-specific requirements and evidence.
Audit-ready in one platform.
SecOps + AI governance on shared control and evidence foundations — for internal teams, external assessors, and customer due diligence.