{
  "title": "Article 35 DPIA Statutory Assessment Framework (EDPB Guidelines WP 248 rev.01)",
  "version": "1.0.0",
  "celex": "32016R0679",
  "legal_mandate": "Regulation (EU) 2016/679 Article 35(1) & Article 35(3)",
  "high_risk_criteria": [
    {
      "id": "CRIT-01",
      "name": "Evaluation or Scoring",
      "description": "Profiling and predicting aspects concerning the data subject's performance at work, economic situation, health, personal preferences, or behavior.",
      "legal_basis": "Art. 35(3)(a), Recital 71, Recital 91",
      "example": "Credit scoring, behavioural advertising, employee productivity tracking."
    },
    {
      "id": "CRIT-02",
      "name": "Automated Decision-Making with Legal / Significant Effect",
      "description": "Processing that aims at taking decisions on data subjects producing legal effects or significantly affecting them.",
      "legal_basis": "Art. 22(1), Art. 35(3)(a)",
      "example": "Automated mortgage rejection, algorithmic CV screening without human review."
    },
    {
      "id": "CRIT-03",
      "name": "Systematic Monitoring",
      "description": "Processing used to observe, monitor, or control data subjects, including data collected via public networks or public spaces.",
      "legal_basis": "Art. 35(3)(c), Recital 91",
      "example": "Public CCTV, vehicle telematics, employee keystroke monitoring, web session replay."
    },
    {
      "id": "CRIT-04",
      "name": "Sensitive Data or Data of Highly Personal Nature",
      "description": "Special categories of data (Art. 9), criminal convictions (Art. 10), electronic communications data, financial data, or location tracking.",
      "legal_basis": "Art. 9(1), Art. 10, Art. 35(3)(b)",
      "example": "Health records, biometric vectors, political opinions, union membership."
    },
    {
      "id": "CRIT-05",
      "name": "Data Processed on a Large Scale",
      "description": "High volume of data, broad geographical extent, large number of data subjects, or permanent duration.",
      "legal_basis": "Art. 35(3)(b), Recital 91",
      "example": "Nationwide customer loyalty card, telecom location data, national health portal."
    },
    {
      "id": "CRIT-06",
      "name": "Matching or Combining Datasets",
      "description": "Combining data originating from two or more operations performed for different purposes and/or by different controllers exceeding reasonable expectations.",
      "legal_basis": "Recital 91",
      "example": "Cross-referencing advertising tracking with offline government census data."
    },
    {
      "id": "CRIT-07",
      "name": "Vulnerable Data Subjects",
      "description": "Processing data concerning subjects who may not be able to easily consent or oppose processing due to an imbalance of power.",
      "legal_basis": "Recital 75, Recital 91",
      "example": "Children, patients, employees, elderly individuals, asylum seekers."
    },
    {
      "id": "CRIT-08",
      "name": "Innovative Use or Applying New Technologies",
      "description": "Use of novel technology or novel organizational solutions that may involve novel forms of data collection and risk.",
      "legal_basis": "Art. 35(1), Recital 89, Recital 91",
      "example": "Generative AI, facial recognition cameras, Internet of Things (IoT) sensors, neuro-tech."
    },
    {
      "id": "CRIT-09",
      "name": "Cross-Border Transfers Outside the EU/EEA",
      "description": "Transfers of personal data to a third country or international organization not subject to an adequacy decision.",
      "legal_basis": "Chapter V (Art. 44-49)",
      "example": "Syncing EU customer telemetry to US or non-EEA cloud clusters without verified SCCs."
    },
    {
      "id": "CRIT-10",
      "name": "Processing Preventing Exercise of Rights or Service Use",
      "description": "Processing where data subjects cannot use a service or enter into a contract due to algorithmic barriers.",
      "legal_basis": "Recital 91",
      "example": "Credit reference agency blacklist preventing creation of bank accounts."
    }
  ],
  "mitigating_toms": [
    {
      "id": "TOM-01",
      "name": "State-of-the-Art AES-256 KMS Encryption & TLS 1.3",
      "category": "TECHNICAL",
      "risk_reduction_pct": 25,
      "legal_basis": "Art. 32(1)(a)"
    },
    {
      "id": "TOM-02",
      "name": "Cryptographic Pseudonymization & Tokenization",
      "category": "TECHNICAL",
      "risk_reduction_pct": 25,
      "legal_basis": "Art. 32(1)(a), Art. 25"
    },
    {
      "id": "TOM-03",
      "name": "Certified Human-in-the-Loop Override Mechanism",
      "category": "ORGANIZATIONAL",
      "risk_reduction_pct": 20,
      "legal_basis": "Art. 22(3); AI Act Art. 14"
    },
    {
      "id": "TOM-04",
      "name": "Differential Privacy & Training Data Minimization",
      "category": "TECHNICAL",
      "risk_reduction_pct": 20,
      "legal_basis": "Art. 5(1)(c); AI Act Art. 10"
    },
    {
      "id": "TOM-05",
      "name": "Strict Role-Based Access Control (RBAC) & Hardware MFA",
      "category": "ORGANIZATIONAL",
      "risk_reduction_pct": 15,
      "legal_basis": "Art. 32(1)(b); NIS2 Art. 21"
    },
    {
      "id": "TOM-06",
      "name": "Automated Hard Expiration TTL Purge",
      "category": "TECHNICAL",
      "risk_reduction_pct": 15,
      "legal_basis": "Art. 5(1)(e)"
    }
  ],
  "sample_processing_operations": {
    "op-ai-recruitment": {
      "title": "Autonomous AI Recruitment & Candidate Evaluation Engine",
      "description": "Algorithmic screening of applicant video interviews, vocal inflection, and CV history to generate automated suitability scores and pre-screen rejections.",
      "active_criteria": ["CRIT-01", "CRIT-02", "CRIT-04", "CRIT-07", "CRIT-08"],
      "inherent_likelihood": 4,
      "inherent_severity": 4,
      "recommended_toms": ["TOM-03", "TOM-02", "TOM-04"]
    },
    "op-smart-cctv": {
      "title": "Commercial Center CCTV Facial Recognition & Demographic Heatmap",
      "description": "Continuous real-time video surveillance in retail malls analyzing shopper paths, age, and emotional sentiment to optimize store layouts.",
      "active_criteria": ["CRIT-03", "CRIT-04", "CRIT-05", "CRIT-07", "CRIT-08"],
      "inherent_likelihood": 5,
      "inherent_severity": 5,
      "recommended_toms": ["TOM-01", "TOM-02", "TOM-06"]
    },
    "op-internal-payroll": {
      "title": "Internal Employee Monthly Salary & Tax Remittance",
      "description": "Processing standard employee bank details and tax codes solely for monthly salary payout and mandatory social security filing.",
      "active_criteria": ["CRIT-07"],
      "inherent_likelihood": 1,
      "inherent_severity": 2,
      "recommended_toms": ["TOM-01", "TOM-05"]
    }
  }
}