Mahipal

Determines controller-processor relationships for AI services and conducts privacy due diligence. Covers SaaS AI (processor), embedded AI (joint controller), API-based AI (assessment framework), and vendor risk assessment. Keywords: AI vendor, controller-processor, due diligence, SaaS AI, joint controller, Art. 28.

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。

Managing consent for analytics cookies and implementing privacy-preserving measurement. Covers GA4 privacy configuration, consent mode fallback behavior, aggregate reporting alternatives, and cookieless measurement approaches.

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 coordinated breach notification across multiple legal jurisdictions including EU member states (72-hour GDPR deadline), US state breach notification laws (varying timelines from 30 to 90 days), and other international regimes. Covers conflict resolution when notification timelines differ, lead supervisory authority determination, and parallel notification execution. Keywords: multi-jurisdiction, cross-border breach, notification coordination, GDPR, US state laws, international breach notification.

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。

Coordinates credit monitoring and identity theft protection services for individuals affected by a data breach. Covers vendor selection criteria, enrollment logistics, coverage duration (12-24 months), identity theft insurance options, communication to affected individuals, and enrollment rate tracking. Keywords: credit monitoring, identity protection, breach response, Experian, enrollment, identity theft insurance.

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 automated data deletion workflows for GDPR Article 17 right to erasure and retention period expiry. Covers cascading deletion across dependent systems, dependency handling for referential integrity, confirmation logging, and audit trail generation. Activate for automated deletion, erasure automation, data purge, retention expiry 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。

Manages AI model retention and machine unlearning requirements. Covers training data deletion verification, model versioning for compliance, machine unlearning techniques (SISA, gradient-based), and retraining triggers. Keywords: AI retention, machine unlearning, model versioning, training data deletion, retraining, storage limitation.

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 GDPR Art. 22 automated decision-making and AI Act Art. 14 human oversight requirements for AI systems. Covers identification of solely automated decisions, meaningful human intervention design, logic explanation mechanisms, and contestation procedures. Keywords: Art. 22, automated decision, human oversight, AI Act, profiling, contestation.

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。

Active Directory attack reference — BloodHound Cypher queries, Kerberos attack decision tree, ACE/ACL abuse, ADCS ESC1-8, and AD misconfig checklist

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。

SecLists path map, hashcat rules, CeWL usage, and custom wordlist generation for all attack categories

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。

CVSS 3.1 vector examples, executive summary template, full technical finding template, and remediation language bank for pentest reports

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。

MITRE ATT&CK framework reference — tactics, techniques, and tool-to-TTP mappings for pentest documentation and detection rule writing

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。

Exploit-DB and searchsploit reference — EDB→Metasploit module mappings, PoC reliability rubric, CVSS tier quick reference, and searchsploit usage patterns

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。