# Workflow -- DPIA for Biometric Systems ## Phase 1: Pre-Assessment and Scoping ### Step 1.1: Determine DPIA Obligation - Confirm biometric data is processed for unique identification (Art. 9(1) trigger) - Check against national DPA DPIA blacklist (CNIL List 11, ICO guidance, AEPD list, BfDI list) - Identify EDPB WP248rev.01 criteria met (special category + at least one other) - Document conclusion: mandatory DPIA confirmed / not required with rationale ### Step 1.2: Assemble DPIA Team - Appoint DPIA lead (typically Privacy/DPO office) - Engage DPO for mandatory consultation under Art. 35(2) - Include biometric system vendor/integrator for technical input - Include IT security for infrastructure and template protection assessment - Include HR/operations for necessity and proportionality input - Include employee representatives / works council where required by national law ### Step 1.3: Define Assessment Scope - Identify all biometric modalities in scope (fingerprint, facial, iris, voice, behavioural) - Map all processing locations and data flows - Identify all categories of data subjects - Determine whether 1:1 (verification) or 1:N (identification) processing - Document system boundaries and integration points ## Phase 2: Processing Description (Art. 35(7)(a)) ### Step 2.1: Document System Architecture - Biometric capture devices: manufacturer, model, sensor specifications - Template extraction: algorithm vendor, version, ISO 19795 compliance status - Template storage: on-device, local database, centralised database, cloud - Matching engine: location, 1:1 or 1:N mode, matching threshold settings - Decision output: access granted/denied, time recorded, alert generated - Integration: access control systems, HR/payroll, CCTV, visitor management ### Step 2.2: Map Data Flows - Raw biometric capture (image, audio, signal) at enrollment - Feature extraction and template generation - Template transmission to storage location - Matching request flow (capture point to matching engine) - Decision result flow (matching engine to access control / time system) - Audit log generation and storage - Template deletion and lifecycle events ### Step 2.3: Document Data Subject Information - Number of enrolled individuals (current and projected) - Categories: employees, contractors, visitors, customers, patients - Vulnerable groups: employees (power imbalance), children, patients - Geographic scope: single site, multi-site, cross-border - Daily transaction volume ## Phase 3: Necessity and Proportionality (Art. 35(7)(b)) ### Step 3.1: Assess Lawful Basis - Identify Art. 6(1) basis for processing (consent, legal obligation, legitimate interest, contract, public interest) - Identify Art. 9(2) exception for special category biometric data - For employment context: assess whether consent is freely given (WP29 Opinion 2/2017 power imbalance guidance) - For public context: identify Member State law basis for public interest processing - Document legal basis with specific statutory references ### Step 3.2: Conduct Necessity Test - Define specific, concrete purpose (reject vague purposes like "security" or "efficiency") - Evaluate less intrusive alternatives systematically: - Badge/proximity card + PIN for access control - Smart card + password for device authentication - Manual sign-in for time and attendance - Supervisor verification for identity confirmation - Document why each alternative is insufficient with evidence (incident reports, audit findings) - Confirm processing is limited to minimum necessary (no function creep scope) ### Step 3.3: Assess Proportionality - Compare severity of security risk against intrusiveness of biometric processing - Assess scope: targeted (specific areas/roles) vs blanket (organisation-wide) - Confirm alternative non-biometric method exists for objecting individuals - Assess retention: templates deleted at earliest possible point - Document proportionality conclusion with reasoning ## Phase 4: Risk Assessment (Art. 35(7)(c)) ### Step 4.1: Identify Biometric-Specific Risks - Template breach and irrevocability (biometric data cannot be reset) - Function creep (access control data repurposed for monitoring/profiling) - Discrimination (demographic accuracy disparities) - Covert collection (passive biometrics without active participation) - Cross-system linkage (template matching across unrelated databases) - Spoofing and presentation attacks - Chilling effect on employee behaviour - Vendor lock-in and data portability failure ### Step 4.2: Assess Likelihood and Severity - For each risk, assess likelihood: Negligible (1), Low (2), Medium (3), High (4) - For each risk, assess severity: Negligible (1), Low (2), Medium (3), High (4) - Calculate inherent risk score: Likelihood x Severity - Map to risk level: Low (1-3), Medium (4-6), High (7-9), Very High (10-16) - Document risk assessment rationale with reference to enforcement precedents ### Step 4.3: Document Risk Register - Assign unique risk ID to each identified risk - Record risk description, category, likelihood, severity, inherent score, and level - Link risks to specific system components and data flows - Identify risk owners ## Phase 5: Mitigation Measures (Art. 35(7)(d)) ### Step 5.1: Design Technical Safeguards - Template protection per ISO/IEC 24745 (irreversibility, unlinkability, renewability) - Storage hierarchy per CNIL guidance (on-device preferred over centralised) - Encryption: AES-256 at rest, TLS 1.3 in transit - Liveness detection per ISO/IEC 30107 (anti-spoofing) - Network isolation: biometric system on dedicated VLAN - Audit logging: immutable logs for all biometric events - Demographic accuracy testing: validated across representative population groups ### Step 5.2: Design Organisational Safeguards - Alternative non-biometric access method for all data subjects - Employee objection procedure with no adverse consequences - Template deletion upon termination, objection, or purpose cessation - Vendor Art. 28 DPA with biometric-specific clauses - Operator training on biometric system and data protection obligations - Annual DPIA review cycle - Biometric-specific breach response procedure ### Step 5.3: Calculate Residual Risk - Re-assess likelihood and severity after applying all planned measures - Calculate residual risk scores - Compare against organisational risk appetite - If residual risk remains High or Very High: prepare Art. 36 prior consultation ## Phase 6: Consultation and Approval ### Step 6.1: DPO Consultation (Art. 35(2)) - Present complete DPIA to DPO for review - DPO provides written advice on: lawful basis adequacy, necessity test rigour, safeguard sufficiency - Document DPO advice and controller's response to each recommendation - If DPO and controller disagree: document disagreement and controller's rationale ### Step 6.2: Data Subject Consultation (Art. 35(9)) - Where appropriate, seek views of data subjects or their representatives - For employee biometrics: consult works council or employee representatives - For customer biometrics: conduct user testing or focus groups - Document views received and how they influenced the DPIA outcome ### Step 6.3: Art. 36 Prior Consultation (if required) - Prepare submission package: complete DPIA, DPO advice, data subject views - Submit to lead supervisory authority - SA has 8 weeks to respond (extendable by 6 weeks for complex cases) - Do not commence biometric processing until SA response received ### Step 6.4: Final Approval and Sign-Off - DPIA approved by controller (senior management) - DPO sign-off confirming adequate assessment - CISO sign-off confirming technical safeguard adequacy - Document approval with dates and signatories - Publish DPIA summary (where required by transparency obligations) ## Phase 7: Ongoing Monitoring ### Step 7.1: Periodic Review - Review DPIA annually or upon significant system change - Re-assess risks when biometric vendor updates algorithms - Re-assess when expanding to new biometric modalities or locations - Re-assess when data subject population changes significantly ### Step 7.2: Incident Response - Biometric template breach triggers enhanced notification (emphasise irrevocability) - Art. 33 notification within 72 hours to supervisory authority - Art. 34 notification to data subjects with guidance on protective measures - Post-incident DPIA update incorporating lessons learned