# Regulatory Standards — Delaware DPPA ## Primary Legislation ### Delaware Personal Data Privacy Act — 6 Del. C. §§12D-101 through 12D-111 Enacted: September 11, 2023 (HB 154). Effective: January 1, 2025. - **§12D-101**: Short title - **§12D-102**: Definitions (consumer, controller, processor, personal data, sensitive data, sale, targeted advertising, profiling, dark pattern, consent, precise geolocation) - **§12D-103**: Applicability thresholds (35,000 consumers OR 10,000 + 20% revenue) - **§12D-104**: Exemptions (entity-level and data-level) - **§12D-105**: Controller duties (minimization, security, consent for sensitive data, DPIAs, minor protections, privacy notice) - **§12D-106**: Consumer rights (access, correct, delete, portability, opt-out, appeal) - **§12D-107**: Processor obligations and contract requirements - **§12D-108**: De-identified and pseudonymous data provisions - **§12D-109**: Limitations on applicability and construction - **§12D-110**: Enforcement by Delaware AG, civil penalties up to $10,000 per violation - **§12D-111**: Effective date and universal opt-out phase-in (January 1, 2026) ## Key Definitions (§12D-102) ### Consumer (§12D-102(8)) A natural person who is a Delaware resident acting only in an individual or household context. Does not include a person acting in a commercial or employment context. ### Personal Data (§12D-102(18)) Any information that is linked or reasonably linkable to an identified or identifiable natural person. Does not include de-identified data, aggregate data, or publicly available information. ### Sensitive Data (§12D-102(24)) Personal data revealing: - Racial or ethnic origin - Religious beliefs - Mental or physical health condition or diagnosis - Sex life or sexual orientation - Citizenship or immigration status (unique to Delaware among early-enacted state laws) - Genetic data - Biometric data processed for identification - Personal data of a known child under 13 - Precise geolocation data (within 1,750 feet) ### Consent (§12D-102(6)) A clear affirmative act signifying a consumer's freely given, specific, informed, and unambiguous agreement. Does not include: - Acceptance of general terms of use - Hovering over, muting, pausing, or closing content - Agreement obtained through dark patterns ### Sale (§12D-102(23)) Exchange of personal data for monetary or other valuable consideration by the controller to a third party. Does not include: - Disclosure to a processor - Disclosure to an affiliate - Disclosure as part of a merger/acquisition/bankruptcy - Disclosure the consumer intentionally made public - Disclosure to a third party at consumer direction ## Universal Opt-Out Mechanism Standards ### Global Privacy Control (GPC) Technical Specification The GPC signal (Sec-GPC HTTP header) is the primary mechanism expected to satisfy the universal opt-out requirement. The specification requires: - A `Sec-GPC: 1` HTTP header sent by the user agent - The signal represents the user's intent to opt out of the sale of personal data and targeted advertising - Controllers must not require additional action from the consumer after signal detection - Absence of the signal must not be interpreted as consent to sell ### AG Guidance on Universal Opt-Out (Expected 2025-2026) The Delaware AG is expected to issue guidance clarifying acceptable universal opt-out mechanisms, potentially referencing the Colorado AG rules on universal opt-out (4 CCR 904-3, Rule 5.11) as a model. ## Data Protection Assessment Standards ### DPPA Assessment Requirements (§12D-105(b)) Assessments must: - Identify and weigh benefits of processing to controller, consumer, and public - Identify and weigh potential risks of processing to consumer rights - Factor in the use of de-identification and security safeguards - Consider the reasonable expectations of the consumer - Consider the context of the processing ### NIST Privacy Framework v1.0 The NIST Privacy Framework provides a voluntary tool for identifying and managing privacy risk. Core functions relevant to DPPA DPIA: - **Identify-P**: Inventory processing activities, data elements, and purposes - **Govern-P**: Establish policies for risk tolerance and assessment methodology - **Control-P**: Implement data processing management controls - **Communicate-P**: Provide transparency mechanisms to individuals - **Protect-P**: Data protection safeguards aligned with processing risk ### ISO/IEC 27701:2019 — Privacy Information Management System Extension to ISO 27001/27002 for privacy management. Relevant controls: - **A.7.2.1**: Purpose identification and documentation - **A.7.2.2**: Lawful basis identification - **A.7.2.5**: Privacy impact assessment - **A.7.2.8**: Records of processing ### ISO/IEC 29134:2017 — Privacy Impact Assessment Guidelines Provides methodology for conducting PIAs: - Threshold analysis to determine PIA necessity - Systematic description of processing operations - Assessment of necessity and proportionality - Risk identification and evaluation - Risk treatment measures ## Cross-Reference: Federal and Other State Laws ### FTC Act Section 5 — Unfair or Deceptive Practices The FTC's enforcement of unfair and deceptive practices provides a federal baseline. Delaware's dark pattern prohibition aligns with FTC standards articulated in "Bringing Dark Patterns to Light" (September 2022). ### COPPA (15 U.S.C. §§6501-6506) The DPPA incorporates COPPA standards for verifiable parental consent when processing data of known children under 13. COPPA Rule (16 CFR Part 312) defines acceptable verification methods. ### Colorado Privacy Act Rules (4 CCR 904-3) Colorado AG rules provide useful implementation guidance for: - Universal opt-out mechanism technical requirements (Rule 5.11) - Data protection assessment methodology (Rule 8) - Consent standards and dark pattern avoidance (Rule 4) ### Connecticut CTDPA (Conn. Gen. Stat. §42-515 through §42-525) Similar structure to Delaware; useful for comparison on: - Dark pattern definition and prohibition - Universal opt-out implementation timeline - Minor protections framework