Privacy & PII Anonymization FAQ

Question 1

How do I verify a SaaS vendor uses true zero-knowledge encryption and cannot access my data?

Accepted Answer

Argon2id key derivation runs entirely in the browser/app (64MB memory, 3 iterations). AES-256-GCM encryption happens before any data leaves the device. The server never receives the plaintext password or the derived encryption key. Even a full anonym.legal server breach would yield only encrypted blobs without the keys to decrypt them.

Question 2

My company processes PHI — can we use cloud anonymization tools or do we need on-premise only?

Accepted Answer

Zero-knowledge design means original text is never stored on anonym.legal servers. European data storage (Hetzner EU data centers). The tool processes anonymization logic without retaining the source documents. This removes the primary blocker for HIPAA-covered entity adoption.

Question 3

SaaS breaches are up 300% — how can I trust any cloud tool with PII?

Accepted Answer

Zero-knowledge architecture means a full anonym.legal server compromise provides attackers with AES-256-GCM ciphertext without the keys to decrypt it. Combined with EU-based data storage and ISO 27001 controls, this provides the strongest possible breach impact minimization.

Question 4

How do I know the PII anonymization tool I'm using isn't storing my sensitive data on their servers where it could be breached?

Accepted Answer

Argon2id (64MB memory, 3 iterations) key derivation runs entirely in the browser/desktop client. The derived AES-256-GCM key never leaves the device. anonym.legal servers receive only encrypted ciphertext and cannot decrypt it even with full database access. 24-word BIP39 recovery phrase enables key recovery without server involvement.

Question 5

Why does my PII detection tool miss names and IDs in German, French, and Polish documents?

Accepted Answer

Three-tier language support: spaCy language-native models for 25 high-resource languages (provides semantic understanding of names, places, organizations in native language), Stanza for 7 additional languages, XLM-RoBERTa cross-lingual transformers for 16 lower-resource languages. This mirrors the academic best practice identified in 2024 hybrid PII detection research.

Question 6

Our de-identification tool misses PHI in clinical notes — LLM studies show >50% miss rate. What should we use instead?

Accepted Answer

Hybrid three-tier detection provides both high recall (ML-based NER for names and contextual PHI) and high precision (regex for structured identifiers). The 260+ entity types include medical-specific identifiers: MRN formats, NPI, DEA numbers, health plan IDs. Confidence thresholds can be set for maximum recall in high-risk PHI scenarios.

Question 7

Over-redaction in e-discovery is causing sanctions — our tool blacks out too much. What causes this and how do we fix it?

Accepted Answer

Configurable confidence thresholds per entity type allow legal teams to calibrate precision vs. recall. The hybrid system's regex component provides reproducible, defensible detection for structured PII. The preview modal in the Chrome Extension shows what will be redacted before committing — the same principle applies across platforms.

Question 8

After the LastPass breach, can I trust any cloud service with my company's sensitive data?

Accepted Answer

Zero-knowledge authentication with open architecture documentation. The 24-word BIP39 recovery phrase is the only way to restore access, meaning even anonym.legal staff cannot reset accounts or access user data. Session management with remote logout prevents persistent access after device loss.

Question 9

How do I pass a security questionnaire for a vendor that handles our sensitive documents?

Accepted Answer

Zero-knowledge authentication + ISO 27001 certification provides the strongest possible answer to VSQ encryption questions. anonym.legal can truthfully state that server compromise yields no usable plaintext data.

Question 10

How do we pass vendor security assessments faster without sharing our encryption architecture documentation every time?

Accepted Answer

ISO 27001 certification provides the baseline framework. Zero-knowledge architecture documentation answers the specific question of server-side data access. DPIA completion satisfies GDPR Article 35 requirements. The combination dramatically shortens procurement cycles for regulated industries.

Question 11

How do I anonymize customer data across DACH and Benelux regions with GDPR-compliant accuracy?

Accepted Answer

48-language detection stack with three complementary models. spaCy covers 25 EU languages natively. XLM-RoBERTa handles cross-lingual transfer for 16 additional languages. 260+ entity types include DACH-specific identifiers (Steuer-ID, AHV-Nr, Sozialversicherungsnummer), French NIR/SIRET, Nordic personnummers, and UK NHS/NI numbers.

Question 12

How do I detect PII in Arabic and Hebrew text with RTL formatting?

Accepted Answer

Full RTL support for Arabic, Hebrew, Persian, and Urdu. XLM-RoBERTa (cross-lingual transformer) provides language-agnostic entity recognition that works across script types. Stanza NER handles Hebrew (HE) specifically.