8,338 件 ・ 関連度順
概要と使いどころ
Processes GDPR Article 16 right to rectification requests, covering verification of corrected data accuracy, notification to recipients under Article 19, timeline management, and completion of incomplete data. Activate for rectification, correction request, inaccurate data, Art. 16, data correction queries.
日本語の概要は準備中です。原文の説明を表示しています。
Handles GDPR Article 21 right to object to processing, including compelling legitimate grounds assessment, ceasing processing obligations, documentation requirements, and the relationship with erasure under Article 17(1)(c). Activate for right to object, Art. 21, objection to processing, legitimate interest queries.
日本語の概要は準備中です。原文の説明を表示しています。
Implements the right to be forgotten in search engines under GDPR Article 17 and the CJEU Google Spain ruling (C-131/12). Covers delisting request procedures, criteria assessment balancing privacy against public interest, and geographic scope determination. Activate for right to be forgotten, search delisting, Google Spain, de-indexing queries.
日本語の概要は準備中です。原文の説明を表示しています。
Establishes ongoing RoPA maintenance processes including update triggers, change management integration, version control, stakeholder review cycles, and completeness verification procedures. Activate for RoPA updates, record maintenance, change management, version history, review scheduling.
日本語の概要は準備中です。原文の説明を表示しています。
Conducts pre-DPIA threshold screening to determine whether a full Data Protection Impact Assessment is required under GDPR Article 35. Applies the EDPB WP248rev.01 nine-criteria test, national supervisory authority blacklists, and organisational risk appetite to produce a documented screening decision. Keywords: threshold screening, DPIA trigger, pre-DPIA, WP248, Article 35(1), blacklist, screening decision.
日本語の概要は準備中です。原文の説明を表示しています。
Conducts Privacy Impact Assessment for health data processing under GDPR Article 9, HIPAA, and sector-specific health privacy regulations. Covers special category data safeguards, clinical research data, patient portals, health wearables, genetic data, and cross-border health data transfers. Keywords: health data PIA, DPIA, Article 9, HIPAA, special category data, clinical research, patient privacy, genetic data.
日本語の概要は準備中です。原文の説明を表示しています。
Comprehensive PET selection guide covering differential privacy, homomorphic encryption, secure multi-party computation, federated learning, zero-knowledge proofs, and trusted execution environments. Includes use-case matching matrix, performance comparison, and GDPR alignment assessment for each technology.
日本語の概要は準備中です。原文の説明を表示しています。
Assessment of pseudonymization techniques and re-identification risk. Covers tokenization, hashing, encryption-based pseudonymization, and hybrid approaches. Includes re-identification risk scoring using the motivated intruder test, quantitative metrics (marketer, journalist, prosecutor models), and linkage attack resilience evaluation. References ENISA 2019 pseudonymization report.
日本語の概要は準備中です。原文の説明を表示しています。
Conducts Privacy Impact Assessment for large-scale systematic monitoring under GDPR Article 35(3)(c). Covers CCTV and video surveillance, employee monitoring, location tracking, internet monitoring, and behavioural analytics. Applies EDPB WP248rev.01 criteria for systematic monitoring of publicly accessible areas. Keywords: DPIA, large-scale monitoring, CCTV, employee monitoring, systematic monitoring, surveillance, location tracking.
日本語の概要は準備中です。原文の説明を表示しています。
Guides the three-part Legitimate Interest Assessment (LIA) required under GDPR Article 6(1)(f): purpose test, necessity test, and balancing test. Activate when evaluating legitimate interest as a lawful basis, conducting LIA reviews, or documenting proportionality analysis. Keywords: LIA, legitimate interest, balancing test, necessity test, purpose test, Article 6(1)(f).
日本語の概要は準備中です。原文の説明を表示しています。
Implements HIPAA de-identification methods under 45 CFR §164.514(a)-(b). Covers expert determination method and safe harbor method with 18 identifiers removal, re-identification risk assessment, limited dataset requirements, and data use agreements. Keywords: HIPAA de-identification, safe harbor, expert determination, 18 identifiers, limited dataset, PHI.
日本語の概要は準備中です。原文の説明を表示しています。
Guides ISO 27701 Privacy Information Management System implementation extending ISO 27001/27002. Covers Clause 5 PIMS-specific requirements, Clause 6 PIMS guidance for ISO 27002, Clause 7 PII controller guidance (Annex A), Clause 8 PII processor guidance (Annex B), gap assessment, and certification path. Keywords: ISO 27701, PIMS, privacy management system, ISO 27001 extension, certification, Annex A, Annex B.
日本語の概要は準備中です。原文の説明を表示しています。
Architecture patterns for GDPR Article 5(1)(c) data minimization and Article 25(1) data protection by design. Covers field-level encryption, data masking, aggregation, pseudonymization per Article 4(5), and anonymization per Recital 26. Includes ENISA pseudonymization techniques and a data minimization assessment matrix.
日本語の概要は準備中です。原文の説明を表示しています。
Guide for mobile-specific consent management covering Apple ATT framework for iOS, Android permission model, in-app consent flows, SDK consent propagation to third-party libraries, and IDFA/GAID handling. Addresses platform-specific requirements alongside GDPR and ePrivacy compliance for mobile applications.
日本語の概要は準備中です。原文の説明を表示しています。
Implements HIPAA breach notification requirements under 45 CFR §164.400-414. Covers individual notification within 60 days, HHS reporting thresholds (500+ immediate, under 500 annual), state attorney general notification, media notification for 500+ in a state, and breach risk assessment. Keywords: HIPAA breach notification, HHS reporting, OCR breach portal, individual notice, state attorney general.
日本語の概要は準備中です。原文の説明を表示しています。
Guides compliance with Japan's Act on the Protection of Personal Information (APPI, 2022 amendments). Covers individual rights expansion, cross-border transfer restrictions including pre-transfer information requirements, PPC enforcement, and pseudonymised and anonymously processed information. Keywords: APPI, Japan data protection, PPC, cross-border transfer, pseudonymised information, individual rights.
日本語の概要は準備中です。原文の説明を表示しています。
Addresses HIPAA privacy and security requirements for health data interoperability under the 21st Century Cures Act, ONC Health IT Certification Program, and CMS Interoperability and Patient Access Final Rule. Covers information blocking prohibitions, FHIR API patient access, TEFCA exchange purposes, and privacy safeguards for health information exchange. Keywords: interoperability, information blocking, FHIR, TEFCA, Cures Act, patient access API, health information exchange.
日本語の概要は準備中です。原文の説明を表示しています。
Guides DPIA for marketing profiling, behavioural targeting, cross-device tracking, and advertising analytics. Covers ePrivacy Directive Art. 5(3) cookie consent, PECR regulations, legitimate interest balancing for direct marketing, and adtech processing chain assessment. Keywords: marketing analytics, DPIA, profiling, behavioural targeting, cross-device tracking, ePrivacy, PECR, adtech, legitimate interest.
日本語の概要は準備中です。原文の説明を表示しています。
Executes breach notification under HIPAA Breach Notification Rule (45 CFR 164.400-414). Covers 60-day individual notification, HHS/OCR reporting for breaches of 500+ individuals (immediate) and under 500 (annual log), state attorney general notification, media notification for 500+ in a single state, and breach risk assessment using the four-factor test. Keywords: HIPAA, breach notification, PHI, HHS, OCR, covered entity, business associate.
日本語の概要は準備中です。原文の説明を表示しています。
Addresses healthcare AI privacy at the intersection of HIPAA and the EU AI Act for clinical decision support systems. Covers training data PHI handling, model transparency and explainability, patient rights in algorithmic decisions, FDA/OCR regulatory coordination, and bias monitoring. Keywords: healthcare AI, HIPAA, AI Act, clinical decision support, PHI training data, model transparency.
日本語の概要は準備中です。原文の説明を表示しています。
Assessing privacy risks in large language model outputs including training data memorisation, PII leakage in generated text, prompt injection leading to data extraction, and hallucinated personal data. Covers output filtering, guardrails, and monitoring. Keywords: LLM privacy, output risk, memorisation, PII leakage, prompt injection, hallucinated PII.
日本語の概要は準備中です。原文の説明を表示しています。
Manages legal hold and data preservation processes including triggering events, custodian notification, hold-in-place technical implementation, release procedures, and interaction with retention schedules. Covers litigation hold registers, compliance monitoring, and Art. 17(3)(e) exception documentation. Activate for legal hold, litigation preservation, data freeze, e-discovery hold queries.
日本語の概要は準備中です。原文の説明を表示しています。
Addresses HIPAA compliance for mobile health (mHealth) applications, wearable devices, and remote patient monitoring. Covers OCR guidance on mobile device PHI, FDA-regulated mobile medical applications, FTC Health Breach Notification Rule for non-HIPAA apps, BYOD policies, and encryption requirements for ePHI on mobile platforms. Keywords: mHealth, mobile health, HIPAA mobile, wearable, remote monitoring, BYOD, mobile device management, app privacy.
日本語の概要は準備中です。原文の説明を表示しています。
Guides determination of the correct lawful basis under GDPR Article 6(1)(a)-(f) for each processing activity. Includes decision tree logic for consent vs legitimate interest vs contract necessity. Activate when evaluating legal grounds for processing or reviewing lawful basis selections. Keywords: lawful basis, Article 6, consent, legitimate interest, legal obligation, contract.
日本語の概要は準備中です。原文の説明を表示しています。