anonym.legal
Enterprise NLP vs. Regex

anonym.legal vs Caviard.ai

Caviard.ai — это расширение браузера Chrome, которое использует шаблоны regex для обнаружения PII, достигая 60–75% полноты с 15–30% уровнем ложных срабатываний — недостаточно для регулируемой работы. 3-уровневый механизм NLP anonym.legal обеспечивает 92–98% полноту на 48 языках с детерминированными, подлежащими аудиту результатами в Интернете, на рабочем столе, в Office Add-in и всех браузерах.

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Сравнение функций

Функцияanonym.legalCaviard.ai
Detection TechnologyYesRegex patterns only
Entity Types285+~30–50 patterns
Language Support48 languagesLimited (regex gaps on non-ASCII)
Platform SupportYesChrome extension only
Per-Entity Confidence ScoringYesNo
Deterministic ResultsYesPattern-based only
Recall RateYes60–75%
False Positive RateYes15–30%
ISO 27001YesNot documented
Compliance Audit TrailYesNo
Reversible EncryptionAES-256-GCMNo (local browser processing)
Office Add-inYesNo
PricingFree to €29/moNot published

Сравнение основано на общедоступной информации. «Не найдено» означает, что функция не указана на странице продукта. Последнее обновление: февраль 2026.

Почему выбрать anonym.legal

All Browsers + Desktop — Not Chrome-Only

anonym.legal works in Chrome, Firefox, Edge, Safari, and as a desktop app. Caviard.ai is a Chrome extension — staff using other browsers get no protection.

Deterministic NLP vs. Regex Patterns

anonym.legal uses 3-layer NLP (Presidio + spaCy + XLM-RoBERTa transformers). Regex cannot understand context: it misses location entities, confuses company names with text, and fails on all non-ASCII scripts.

ISO 27001 Certified Infrastructure

anonym.legal runs on Hetzner Germany with ISO 27001 certification. Caviard.ai has no documented security certifications.

48 Languages vs. Regex Gaps

Regex-based detection fails on German umlauts, Arabic, Chinese, Hebrew, and other non-ASCII characters. anonym.legal’s multilingual NLP covers 48 languages natively.

Per-Entity Confidence Scoring

Every detection includes a 0–100% confidence score and the rule/model that triggered it — required for legal defensibility and HIPAA audit trails. Caviard.ai provides no confidence scoring.

285+ Entity Types

Country-specific IDs with checksum validation, 48-language NER, medical record numbers, financial identifiers. Caviard.ai covers ~30–50 regex patterns.

Когда anonym.legal — правильный выбор

anonym.legal превосходит Caviard.ai, когда:

  • Вам нужна полнота на уровне соответствия (92–98%), а не базовое сопоставление шаблонов (60–75%)
  • Ваша команда использует Firefox, Edge, Safari или настольные приложения — не только Chrome
  • Вы обрабатываете многоязычный контент: немецкий, французский, арабский, китайский, иврит или один из 48 языков
  • Вам требуются оценки доверия для каждого объекта и журналы аудита для HIPAA, GDPR или электронного обнаружения
  • Вам нужна обратимая анонимизация — расшифруйте заполнители при необходимости по закону

Часто задаваемые вопросы

What is the difference between regex-based and NLP-based PII detection?

Regex patterns match fixed text structures (e.g., SSN format). They miss context-dependent PII: names in sentences, location entities, and any pattern that varies slightly. NLP models understand language context — anonym.legal’s 3-layer pipeline (Presidio + spaCy + XLM-RoBERTa) achieves 92–98% recall vs. 60–75% for regex-only tools like Caviard.ai.

Does Caviard.ai work in Firefox, Edge, or Safari?

No. Caviard.ai is a Chrome extension and only works in Chrome-based browsers. anonym.legal works in all major browsers via the web app, provides dedicated Chrome and Edge extensions, and includes a standalone Desktop App for Windows, macOS, and Linux.

What security certifications does Caviard.ai have?

Caviard.ai does not publish ISO 27001 or SOC 2 certifications. anonym.legal runs on Hetzner Germany infrastructure with ISO 27001 certification, GDPR-compliant data processing agreements, and zero-knowledge authentication verified by independent security audit.

How does anonym.legal handle multilingual PII that Caviard.ai misses?

Regex patterns fail on non-ASCII characters: German umlauts (ä, ö, ü), Arabic script, Chinese characters, Hebrew letters. anonym.legal’s NLP models are trained on 48 languages and handle character normalization, Unicode boundaries, and language-specific ID formats (German Personalausweis, French NIR, Arabic national IDs, etc.).

What false positive rates can I expect?

Caviard.ai’s regex approach produces 15–30% false positive rates — flagging non-PII text as sensitive. This creates unnecessary redaction of legitimate content. anonym.legal’s NLP pipeline reduces false positives to under 5% through contextual understanding, confidence scoring thresholds, and per-entity override controls.

Does anonym.legal provide audit trails for compliance?

Yes. Every detection includes the entity type, confidence score, detection method (rule ID or model name), and timestamp — creating a defensible audit trail for HIPAA, GDPR, and e-discovery requirements. Caviard.ai does not provide per-detection audit trails.

Обнаружение PII Enterprise NLP

92–98% полнота. 48 языков. Все браузеры + Desktop. ISO 27001. Начните бесплатно.