680 件 ・ 関連度順
概要と使いどころ
Implementing server-side tracking with privacy controls using Google Tag Manager server containers. Covers first-party data collection, IP anonymization, consent-aware event forwarding, and reducing client-side third-party cookie exposure.
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 SOC 2 Type II Privacy Trust Services Criteria preparation and audit execution. Covers AICPA TSP Section 100 Privacy criteria P1-P8 including notice, choice/consent, collection, use/retention/disposal, access, disclosure, security, and quality. Includes evidence collection, control testing, and report review. Keywords: SOC 2, privacy criteria, TSP, AICPA, Type II, trust services.
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。
Identifies and classifies GDPR Art. 9 special category data including racial origin, political opinions, religious beliefs, trade union membership, genetic, biometric, health, and sexual orientation data. Covers processing conditions under Art. 9(2)(a)-(j). Keywords: special category, Art 9, sensitive data, biometric, genetic, health data, explicit consent.
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。
US state privacy law applicability assessment tool. Evaluates revenue thresholds, data volume thresholds, business exemptions (GLBA, HIPAA, nonprofits), employee data carve-outs, and SBA small business determinations across all enacted state privacy laws.
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。
Tracks and monitors US state privacy legislation across all 50 states, DC, and territories. Covers enacted comprehensive privacy laws (California CCPA/CPRA, Virginia VCDPA, Colorado CPA, Connecticut CTDPA, Utah UCPA, and subsequent enactments), pending bills, effective dates, and key requirement differences. Keywords: state privacy law, CCPA, CPRA, VCDPA, CPA, CTDPA, UCPA, multi-state.
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。
Implementing the IAB Transparency and Consent Framework v2.2 for programmatic advertising consent management. Covers CMP registration, Global Vendor List integration, TC String encoding, publisher restrictions, and compliance validation.
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 telehealth privacy compliance covering HIPAA requirements for virtual care, state licensing and recording consent laws, platform security with BAA requirements for telehealth vendors, cross-state prescribing rules, and OCR enforcement discretion during public health emergencies. Keywords: telehealth privacy, virtual care, HIPAA, recording consent, platform BAA, cross-state licensing, OCR enforcement.
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 post-Schrems II Transfer Impact Assessment process following EDPB Recommendations 01/2020 six-step methodology. Covers destination country surveillance law assessment, European Essential Guarantees evaluation, and supplementary measures determination. Keywords: TIA, transfer impact assessment, Schrems II, EDPB recommendations, supplementary measures.
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 18 right to restriction of processing requests, covering the four grounds for restriction (accuracy contest, unlawful processing, erasure opposition, legitimate interest pending), technical flagging mechanisms, and lifting procedures. Activate for restriction request, Art. 18, processing freeze 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。
Creates executive reporting and visualization from RoPA data including processing activity counts, risk heatmaps, compliance scores, trend analysis, and supervisory authority readiness indicators. Activate for RoPA dashboard, executive reporting, risk heatmap, compliance score, trend analysis, board reporting, KPI.
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。
Build automated PII detection and redaction pipelines using spaCy NER, Microsoft Presidio, and AWS Macie integration. Includes confidence scoring, custom entity type definitions, batch processing workflows, and multi-format document scanning for structured and unstructured data sources.
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。
Implement the NIST Privacy Framework GOVERN function covering GV.AT awareness and training, GV.MT monitoring and review, GV.PO policy development, and GV.RR roles and responsibilities. Provides governance structure templates, training programs, and accountability frameworks for privacy governance.
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。
Classifies personal vs non-personal data per GDPR Art. 4(1) definition test with decision tree for borderline cases. References Breyer v Germany CJEU C-582/14 dynamic IP ruling and WP29 Opinion 4/2007. Keywords: personal data, GDPR Art 4, data classification, Breyer ruling, identifiability test, 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。
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。
Implement privacy-preserving record linkage across datasets using Bloom filter encoding, secure hash matching, threshold tuning for precision and recall, and false positive management. Enables entity resolution without exposing raw personally identifiable information between parties.
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。
SaaS vendor data processing inventory management. Covers shadow IT discovery, API-based data flow detection, processing purpose mapping, contract status tracking, and continuous inventory reconciliation for cloud service providers.
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。
Designs and implements data retention schedules compliant with GDPR Article 5(1)(e) storage limitation principle. Maps data categories to retention periods with legal basis justification, regulatory minimum holding periods, and automated review triggers for schedule maintenance. Activate for retention policy, storage limitation, data lifecycle, retention period 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。
Implement the NIST Privacy Framework IDENTIFY function including ID.BE business environment, ID.DA data actions, ID.IM improvement, and ID.RA risk assessment subcategories. Provides control mapping, gap analysis templates, and implementation workflows for privacy risk identification.
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。
Implement the NIST Privacy Framework COMMUNICATE function covering CM.AW awareness raising and CM.PO communication policies. Provides transparency mechanisms, stakeholder engagement frameworks, privacy notice templates, and communication workflow guidance.
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 implementation of EU Standard Contractual Clauses under Commission Decision 2021/914 across all four modules (C2C, C2P, P2P, P2C). Covers clause-by-clause completion, Annex I-III drafting, and SCC module selection. Keywords: SCCs, standard contractual clauses, module selection, data transfers, Annex completion.
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。
Build privacy-preserving data sharing platforms using synthetic data generation with the SDV library, data clean rooms, secure enclaves, and utility measurement. Covers end-to-end architecture for sharing analytical datasets while preserving individual privacy guarantees.
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。