「privacy-audit」の検索結果

Guides internal privacy audit program design and execution including risk-based audit planning, scope definition, fieldwork procedures, finding classification, evidence gathering, remediation tracking, and management reporting. Covers audit universe definition, annual audit plan, working papers, and closure verification. Keywords: internal audit, privacy audit, fieldwork, remediation, findings, audit plan.

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。

Audits a website for compliance with Azerbaijan's Law on Personal Data No. 998-IIIQ and, where applicable, EU GDPR plus ePrivacy/cookie consent rules. Inventories the privacy documents present (privacy policy, cookie policy, cookie banner, consent flow, controller and DPO contact, data subject rights channel, cross-border transfer disclosures, AZ operator-registration references) and scores each against the applicable statutory requirements. Produces a dual-layer report: a plain-language traffic-light summary for business owners plus a clause-by-clause findings table with article-level citations for lawyers. Assessment-only — no drafting. Use whenever the user shares a URL or privacy/cookie policy text for an AZ-based or AZ-targeted site; also when the user mentions an .az domain, Law 998, the AZ State Register, ePrivacy, an Art. 27 EU representative, or asks "is my site GDPR compliant", "do I need to register as an operator in Azerbaijan", or "is our cookie banner lawful" — even without the word "audit".

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。

On-site and remote vendor audit procedures per GDPR Article 28(3)(h). Covers audit planning, evidence collection methodologies, finding classification, remediation tracking, and audit report generation for processor compliance verification.

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 auditing of AI models including training data extraction testing, membership inference attacks, model inversion testing, and attribute inference assessment. Uses ML Privacy Meter and related tools to quantify privacy leakage. Keywords: model audit, membership inference, privacy meter, model inversion, training data extraction.

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。

Audits web applications to ensure declared privacy policies match actual technical data collection practices. Use to identify discrepancies in cookie usage, tracking scripts, and user data handling.

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。

审计网站是否符合阿塞拜疆《个人数据法》（Law on Personal Data No. 998-IIIQ），并在适用时符合欧盟 GDPR 以及 ePrivacy/饼干同意规则。盘点存在的隐私文件（隐私政策、饼干政策、饼干横幅、同意流程、控制者和 DPO 联系方式、数据主体权利渠道、跨境转移披露、AZ 运营者登记引用），并对照适用的法定要求逐项评分。产出双层报告：面向企业主的通俗语言红绿灯摘要，外加面向律师的逐条款发现表（带条款级引用）。仅评估 — 不起草。每当用户分享针对阿塞拜疆或面向阿塞拜疆网站的 URL 或隐私/饼干政策文本时使用；当用户提及 .az 域名、Law 998、AZ 国家登记簿、ePrivacy、第 27 条欧盟代表，或询问"is my site GDPR compliant"、"do I need to register as an operator in Azerbaijan"或"is our cookie banner lawful"时也使用 — 即使没有"audit"一词。

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。