# LINDDUN Threat Model Report Template

## System Information

| Item | Value |
|------|-------|
| System Name | Customer Analytics Platform |
| Organization | Prism Data Systems AG |
| Assessment Date | 2026-03-14 |
| Assessor | Thomas Richter (Privacy Engineering Lead) |
| DPO Review | Dr. Lukas Meier |
| Methodology | LINDDUN (Full Assessment) |

## DFD Summary

| Element ID | Name | Type | Data Categories | Trust Boundary |
|-----------|------|------|-----------------|----------------|
| EE-01 | Customer (Data Subject) | External Entity | email, display_name | External |
| P-01 | API Gateway | Process | email, session_token | DMZ |
| P-02 | Analytics Engine | Process | pseudonymized_id, feature_events | Internal |
| DS-01 | Customer Database | Data Store | email, display_name, country_code | Internal |
| DS-02 | Analytics Warehouse | Data Store | pseudonymized_id, feature_events, session_duration | Internal |
| DF-01 | Customer to API Gateway | Data Flow | email, credentials | External-to-DMZ |
| DF-02 | API Gateway to Customer DB | Data Flow | email, display_name | DMZ-to-Internal |
| DF-03 | Customer DB to Analytics Engine | Data Flow | pseudonymized_id, feature_events | Internal |

## Threat Register

| Threat ID | Category | DFD Element | Description | Likelihood | Impact | Risk | Level | Mitigation |
|-----------|----------|-------------|-------------|-----------|--------|------|-------|------------|
| T-001 | L | DS-02 | Analytics records linkable via quasi-identifier combinations | 3 | 3 | 9 | MEDIUM | Differential privacy (epsilon=0.3) on query outputs |
| T-002 | I | DS-01 | Direct identifiers in customer DB enable identification | 4 | 4 | 16 | HIGH | Field-level AES-256-GCM encryption; RBAC |
| T-003 | DD | DF-01 | Customer credentials exposed if TLS is compromised | 2 | 5 | 10 | MEDIUM | TLS 1.3 with certificate pinning; mTLS |
| T-004 | DD | DS-01 | Customer database breach exposes PII | 3 | 5 | 15 | HIGH | Field-level encryption; database firewall; audit logging |
| T-005 | U | EE-01 | Customer unaware analytics processing occurs | 3 | 3 | 9 | MEDIUM | Layered privacy notice; analytics opt-out |
| T-006 | NC | P-02 | Analytics engine may exceed stated purpose | 2 | 4 | 8 | MEDIUM | OPA purpose enforcement; quarterly audit |
| T-007 | L | DF-03 | Pseudonymized data linkable if key compromised | 2 | 4 | 8 | MEDIUM | HSM key storage; quarterly key rotation |
| T-008 | D | DF-01 | Adversary detects customer interaction via traffic analysis | 2 | 2 | 4 | LOW | HTTPS masking; CDN distribution |

## Risk Summary

| Risk Level | Count | Action Required |
|-----------|-------|-----------------|
| CRITICAL (20-25) | 0 | Immediate mitigation |
| HIGH (13-19) | 2 | Mitigate within 3 months |
| MEDIUM (7-12) | 5 | Mitigate within 6 months |
| LOW (1-6) | 1 | Accept with documentation |

## Mitigation Plan

| Threat ID | Mitigation | Owner | Target Date | Status |
|-----------|-----------|-------|-------------|--------|
| T-002 | Deploy field-level AES-256-GCM encryption for all direct identifiers in customer DB | Security Engineering | 2026-04-30 | In progress |
| T-004 | Implement database activity monitoring and alerting; review access controls | Security Operations | 2026-04-15 | Planned |
| T-001 | Deploy differential privacy gateway for analytics queries | Privacy Engineering | 2026-05-31 | Planned |
| T-005 | Update privacy notice to explicitly describe analytics processing | Legal / Privacy | 2026-04-01 | In progress |
| T-006 | Implement OPA purpose-based access policy for analytics engine | Privacy Engineering | 2026-05-15 | Planned |

## Approval

| Role | Name | Decision | Date |
|------|------|----------|------|
| Privacy Engineering Lead | Thomas Richter | Completed assessment | 2026-03-14 |
| Data Protection Officer | Dr. Lukas Meier | Approved mitigation plan | 2026-03-14 |
| CISO | Michael Baumann | Approved (security mitigations) | 2026-03-14 |

## Next Review

Scheduled reassessment: 2026-09-14 (6 months) or upon significant system architecture changes.