GDPR Compliant AI

Process EU customer data. Stay GDPR compliant.

Protecto detects, masks, and governs personal data across LLMs, RAG systems, and agentic AI pipelines. Context preserved. GDPR compliance enforced. Models intact.

Live PHI masking pipeline

EHR / Clinical Notes

Protecto Vault

LLM Safe

Patient Records

PHI Detected + Masked

HIPAA Ready

Before and after PHI masking

Before Protecto

Patient Maria Chen, DOB 11/08/1976, MRN HX-482991, presented to St. Luke's Medical Center after recurrent chest pain following discharge from Dr. Ravi Patel's clinic.

After Protecto

Patient <PER>vTN 4h1</PER>, DOB <DOB>b1CjImA2/e57ftzYU/yTq6Lgn7</DOB>, MRN <MRN>514-563</MRN>, presented to <ORG>7Fs. U3x xcz QI2</ORG> after recurrent chest pain following discharge from Dr. <PER>JQ0 if7</PER>\'s clinic.

99%

PHI recall

96%

Precision

1/10^x

vs in-house cost

The GDPR Compliance Gap

GDPR violations in AI pipelines are accelerating

Every RAG system, LLM integration, and agentic AI workflow that touches EU personal data is a potential GDPR liability. The challenge is not intent. It is architecture. Most AI systems were built for speed, not compliance. Personal data flows freely into vector stores, crosses borders to US-hosted LLM APIs, and disappears into training sets without audit trails, consent records, or any GDPR-compliant deletion path.

€1.2 billion

Meta Platforms Ireland. May 2023. Illegal transfer of EU Facebook user data to US servers without adequate safeguards. Violation: Article 44 and failure to implement Standard Contractual Clauses. Ireland Data Protection Commission. The fine reflects exactly what happens when AI pipelines cross borders without GDPR-compliant data transfer controls in place.

RAG pipelines leak EU personal data across borders

EU customer records ingested into RAG knowledge bases flow directly into LLM prompts, often sent to US-hosted APIs. Every query is a potential Article 44 violation.

No audit trail means no GDPR Article 30 compliance

Article 30 requires records of all processing activities on personal data. LLM pipelines generate no compliant audit log by default. Regulators investigate precisely here.

Purpose limitation drift violates GDPR Article 5

Customer data collected under one lawful basis gets repurposed for LLM fine-tuning without a new legal ground. Article 5(b) violations build up silently across training pipelines.

GDPR data subject rights are unenforceable in AI systems

When a user requests erasure under Article 17, you must remove their data from RAG indexes, vector stores, and any training set. Most AI platforms cannot execute this at scale.

How it works

Three steps to GDPR-safe AI

Protecto sits between your data sources and your AI models. No pipeline rebuilds. No code changes. GDPR compliance is enforced at the infrastructure layer, not in your application logic.

Detect EU personal data automatically

Protecto scans unstructured text, documents, API payloads, and database fields in real time. 99% recall on all GDPR personal data categories: names, emails, IBANs, national IDs, health records, and special category data defined in Article 9. Detection works in 40+ EU languages.

Mask with Context Preserved

Context-preserving masking replaces GDPR personal data with semantically coherent tokens. Your LLM receives structured, usable text. Model quality is intact. EU personal data never reaches the model layer, the prompt, or the API call. Privacy by Design enforced at Article 25 level.

Govern, Audit, and Report

Every interaction with GDPR personal data is logged in an immutable audit trail. Export Article 30 Records of Processing on demand. Enforce data subject rights automatically. DPA-ready compliance documentation included with every enterprise contract.

Platform Capabilities

Built for GDPR Compliant AI

Protecto implements GDPR technical requirements at the data pipeline level. Not a policy checklist. Engineering-grade controls that GDPR regulators can audit and DPOs can document.

Sub-sec

Real-time token generation for live pipelines

Billions

Rows handled via bulk API for migrations

50M+

PHI records processed for a single healthcare customer

EU personal data detection

Identifies personal data and GDPR Article 9 special category data in unstructured text, documents, and API payloads. Covers all EU data types: names, emails, IBANs, national IDs, health records, biometric data, and location. 99% recall across 40+ entity types in multilingual content.

GDPR Art. 4 + Art. 9

Context-Preserving Masking

Replaces GDPR personal data with semantically coherent tokens before data enters LLMs or RAG systems. Unlike redaction, Protecto preserves document structure and contextual meaning. LLM output quality stays intact. GDPR Privacy by Design (Article 25) is enforced at the architecture level, not bolted on after deployment.

GDPR Art. 25 (Privacy by Design)

Context-Based Access Control

Enforces GDPR data minimisation at the access layer. Each AI agent, role, or request type accesses only the personal data documented for its specific purpose. Policy-driven controls prevent purpose drift and unauthorized reuse across multi-agent workflows and multi-tenant architectures.

GDPR Art. 5 (Data Minimisation)

Immutable Audit Logs

Every access to GDPR personal data is logged with timestamp, requesting entity, documented purpose, masking action, and output. Logs are tamper-proof and exportable. Article 30 Records of Processing are generated automatically from pipeline activity. No manual documentation. Regulator-ready on demand.

GDPR Art. 30 (Records of Processing)

GDPR Data Processing Agreement ready

Protecto operates as a data processor under GDPR Article 28. A standard DPA is signed with every enterprise contract. Protecto does not train models on customer data. Breach notification timelines are contractually defined at 72 hours per Article 33. Audit rights included.

GDPR Art. 28 (Controller-Processor)

EU data residency deployment

Deploy Protecto on-premises, in a private cloud, or within an EU-only region. EU personal data never leaves your infrastructure. Resolves GDPR Article 44 obligations and Schrems II concerns for organizations using US-based LLM APIs. Zero cross-border transfer from Protecto's infrastructure.

GDPR Art. 44 (Cross-Border Transfers)

Customer Story

A leading SaaS company cut AI infrastructure costs by 90% while maintaining full GDPR compliance at 13 million documents per day

A major SaaS platform processed 13 million long-form texts daily containing PII across EU customer records. High latency, no batch processing, and expensive infrastructure made GDPR-compliant AI processing unsustainable at scale.

They needed a solution that could detect and mask GDPR personal data across their pipeline without degrading model accuracy, slowing their development cycle, or introducing new infrastructure complexity.

Protecto Vault delivered context-preserving masking with async processing and dynamic scaling. GDPR compliance was enforced at every stage: ingestion, retrieval, and output. Integration took four weeks from proof-of-concept to production.

90%

Reduction in AI infrastructure costs after Protecto deployment

13M

EU personal data documents processed daily with full GDPR masking

99%

GDPR personal data recall in production, on unstructured long-form text

4 weeks

From proof-of-concept to full production deployment

Enterprise SaaS Platform

"Integration was seamless. Protecto fit directly into our pipeline architecture. GDPR compliance went from a blocker to a checkbox."

13M documents/day. EU customer PII. GenAI pipeline.

Built for Regulated Industries

GDPR compliance built for your industry

Every industry processes EU personal data differently. Protecto maps its GDPR detection, masking, and governance capabilities to the data types and regulatory requirements specific to your sector.

Healthcare

Healthcare and Life Sciences

European healthcare organizations processing patient records, clinical notes, or health AI systems must satisfy both GDPR Article 9 special category data requirements and sector regulations like MDR. Protecto delivers 99% recall on health identifiers, clinical narrative PII, and genetic data in EU clinical and administrative workflows.

GDPR Article 9

Special Category Data

EU MDR Alignment

Financial Services

Financial Services and Banking

Banks, fintechs, and insurance companies using AI for fraud detection, customer service, or risk modeling face GDPR obligations on every EU account holder. Protecto handles IBAN detection, financial PII masking, and Article 22 automated decision-making transparency for credit and fraud workflows.

GDPR + DORA

Article 22 ADM

Cross-Border Transfers

Enterprise AI

Enterprise SaaS and AI Platforms

SaaS products serving EU customers embed GDPR personal data in every support ticket, user log, and API interaction. Protecto enforces GDPR compliance across multi-tenant architectures, agentic AI workflows, and LLM-augmented products without rebuilding your stack. Article 28 DPA included as standard.

GDPR Article 28

Privacy by Design

Article 30 Logs

Why Protecto

Not all data masking tools are built for GDPR-compliant AI

Generic redaction and cloud NLP tools were designed for structured data, not GDPR AI pipelines. See how Protecto compares on the capabilities that GDPR compliance in LLMs and RAG systems actually requires.

GDPR capability	Protecto	AWS Comprehend	Generic Masking / DSPM
Context-preserving masking for LLMs	✓ Yes	✕ No	✕ No
Detection accuracy on EU unstructured text	✓ 99% recall, 96% precision	! ~85%, structured fields only	! Variable, rules-based
GDPR Data Processing Agreement (Article 28)	✓ Yes, signed as standard	✓ AWS DPA available	! Varies by vendor
Context-based access control for AI agents	✓ Yes	✕ No	✕ No
Immutable GDPR audit logs (Article 30 Records)	✓ Yes, exportable Records of Processing	✕ No, CloudTrail is generic	✕ No
On-premises and EU data residency deployment	✓ Yes	✕ No, US-based default	! Varies
RAG and agentic AI pipeline support	✓ Yes, native pipeline integration	! Limited, document-level only	✕ No

Certifications

Compliance Built In. Not Bolted On.

Protecto holds the certifications that GDPR procurement, DPO review, and legal teams require. Documentation is available at procurement stage without a full sales process.

SOC 2 Type II

Independently audited security, availability, and confidentiality controls. Annual renewal. Satisfies GDPR Article 32 technical security requirements.

ISO 27001

Certified information security management system. Covers data handling, access controls, and incident response. Aligns with GDPR Article 32 obligations.

GDPR DPA ready

Standard Data Processing Agreement available at procurement stage. Protecto operates as a compliant GDPR data processor under Article 28. Breach notification within 72 hours.

Privacy by Design

Architecture meets GDPR Article 25 requirements. Compliance is enforced at the infrastructure layer, not retrofitted after deployment. DPIA documentation available on request.

Common Questions

GDPR Compliance Questions, Answered

Does Protecto sign a GDPR Data Processing Agreement?

Yes. Protecto operates as a data processor under GDPR Article 28. A standard Data Processing Agreement is signed as part of every enterprise contract. The DPA defines processing purposes, security measures, sub-processor notifications, breach notification timelines (72 hours per GDPR Article 33), and your audit rights. GDPR DPA documentation is available at procurement stage without requiring a full sales process first.

Does Protecto train its models on customer data?

No. Protecto does not train its detection or masking models on customer data. Your EU personal data is processed solely to perform the masking function, then discarded. No retention beyond the processing event. No cross-purpose reuse. Model improvements are based on anonymized synthetic data and internal benchmark datasets. This is a contractual commitment in every GDPR DPA and is auditable under your audit rights.

How does Protecto handle cross-border data transfers under GDPR Article 44 and Schrems II?

Protecto resolves the GDPR Article 44 problem at the pipeline level. EU personal data is masked before it reaches any external LLM API. What crosses borders is synthetic tokens, not personal data, so your Article 44 obligation is satisfied by design. For organizations requiring full EU residency, Protecto deploys on-premises or within EU-region cloud infrastructure. No personal data leaves the EU at any point in the pipeline, regardless of which LLM you use.

Can Protecto be deployed on-premises for EU data residency compliance?

Yes. Protecto supports three deployment models: SaaS (EU-region hosted), private cloud (your AWS, Azure, or GCP environment), and on-premises (within your own data center). For organizations with strict GDPR EU data residency requirements, on-premises deployment ensures EU personal data never touches Protecto’s infrastructure. Average production deployment time is four weeks from proof-of-concept sign-off. A solutions engineer leads every integration.

How does context-preserving masking differ from standard GDPR redaction?

Standard GDPR redaction replaces personal data with blanks or placeholders like [PERSON] or [EMAIL]. This breaks the semantic structure of text, which degrades LLM output quality significantly. Protecto’s context-preserving masking replaces personal data with semantically coherent tokens that maintain grammatical and contextual meaning. The model receives a realistic, structurally intact document. Outputs are accurate. When an authorized user needs the original data for a GDPR-permitted purpose, Protecto re-substitutes the real values with full audit logging of the unmasking event.

How quickly can Protecto integrate into an existing GDPR AI pipeline?

Most GDPR-compliant enterprise integrations take four weeks from proof-of-concept to production. Protecto provides REST APIs for LangChain, Snowflake, and Databricks, and proxy-mode deployment that intercepts pipeline traffic without requiring application code changes. Your engineering team does not need to rebuild the pipeline. Protecto wraps it. A dedicated solutions engineer leads the integration from kickoff to go-live using your actual GDPR data types and compliance requirements as inputs.

BOOK A DEMO

See Protecto mask EU personal data in your pipeline. Live.

30 minutes. A solutions engineer. Your GDPR data types. No slides. No sales pitch. We connect to your pipeline and run Protecto on your actual data so you can verify GDPR detection accuracy and masking quality before any commitment.