Dashboard
Dashboard Modules
6 modules, 4 audiences. 129 scores. All values computed from your actual scan — zero hardcoded constants.
| Module | For | What It Shows |
|---|---|---|
| Executive | CEO, CFO | Global score, trajectory, top risks summary |
| Risk Exposure | CEO, CFO, Consultant | Financial exposure (€/$), Breach Theater simulation |
| Compliance | DPO, Legal, CISO | GDPR Art.9/30/32, NIS2, SOC2, CCPA, AI Act |
| Data Protection | MSP, Backup, IT | Backup resilience, encryption, data hygiene |
| Intelligence | CTO, ESN, AI Integrator | AI Readiness, data quality, blockers, AI Act pre-compliance |
| Scoreboard | Auditor, Consultant | 71 scores, 319 metrics — full registry with grades |
Executive
For: CEO, CFO — the 30-second view.
- Global risk grade (A–F) with score trajectory
- Top 3 risks with financial impact
- Priority actions summary (P1/P2/P3)
- Sources scanned + last scan date
Key metric: The global score is a weighted average of the 4 pillar scores —
Risk Exposure, Compliance, Data Protection, and Intelligence.
Each pillar weighted by regulatory impact.
Risk Exposure
For: CEO, CFO, Consultants — the financial answer to "how much are we exposed?"
- Financial exposure in € and $ — computed from PII count, source type, GDPR/CCPA penalty formulas
- Breach Theater — simulates a breach scenario: what fine, what PR cost, what remediation cost
- PII map — which files/tables have which PII types
- Toxic combinations — detects high-risk PII co-location (IBAN + SSN in same file)
- Top risk zones — directories or tables with highest exposure
Compliance
For: DPO, Legal, CISO — answers the auditor's questions before they ask them.
- GDPR Art.9 — special category data detection (health, biometric, religious)
- GDPR Art.30 — processing activities completeness
- GDPR Art.32 — technical security measures (encryption, access control)
- NIS2 — network and information system security posture
- SOC2 — availability, confidentiality, security controls
- CCPA — California consumer rights readiness
- AI Act — pre-compliance for AI system data requirements
- Priority actions — P1/P2/P3 with deadlines and financial impact
Data Protection
For: IT leads, MSPs, backup admins — the technical security posture.
- Backup resilience — frequency, age, coverage, offsite status
- Encryption coverage — which disks, databases, and cloud storage are encrypted
- Ransomware readiness — recovery point objective (RPO) simulation
- Data hygiene — stale files, duplicates, orphaned data
- Access control — over-permissioned users, admin ratio, dormant accounts
Intelligence
For: CTOs, ESN, AI integrators — is your data AI-ready?
- AI Readiness score — data quality × classification coverage × utility
- Data quality metrics — completeness, consistency, freshness per source
- AI blockers — what prevents AI training: PII contamination, missing labels, schema instability
- AI Act pre-compliance — Article 10 data governance requirements
Scoreboard
For: Auditors, consultants — full transparency, all metrics, no black box.
- 71 scores with grade (A–F), value, and formula reference
- 319 raw metrics (D-IDs) — the data points that feed the scores
- Full registry with D-ID, source, and computation trace
- Export to JSON for integration with your own audit tools
All values are computed from your actual scan.
Zero hardcoded constants. Zero fake defaults. If a source is not scanned, the corresponding scores are absent — not set to zero.