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AI Data Anonymisation & Privacy Software strips, masks, or transforms personally identifiable information (PII), protected health information (PHI), and other sensitive identifiers so that data can be safely used in AI, analytics, and operational workflows without exposing raw records. Techniques include de-identification, pseudonymisation, tokenisation, format-preserving masking, redaction, and differential privacy. These tools scan structured and unstructured data across databases, files, APIs, and cloud storage, then apply consistent transformations that preserve analytical utility, referential integrity, and model accuracy while meeting regulatory standards such as GDPR, HIPAA, and the EU AI Act.
Organisations need to train AI models, run analytics, share data internally, and migrate to cloud environments, but doing so with raw personal data creates serious privacy, legal, and reputational risks. This software eliminates that tension by producing privacy-safe datasets that remain statistically and contextually useful, preventing PII from entering AI pipelines, LLMs, or data lakes unprotected. It helps teams comply with global privacy regulations, satisfy data retention policies, enable cross-team data sharing without accidental exposure, and reduce the cost and complexity of building in-house anonymisation infrastructure—turning data privacy from a blocker into an enabler of data-driven work.
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by Maya Data Privacy
AppSafe is Maya Data Privacy's enterprise data anonymisation platform that consistently anonymises PII and sensitive data across databases (SAP HANA, Oracle, PostgreSQL, SQL Server), files, and APIs using AI-driven discovery, in-system processing, and a zero-storage architecture — enabling GDPR-compliant use of data for AI/ML training, testing, and analytics while preserving referential integrity and business process continuity.

anymize is a bidirectional AI anonymization platform that detects 40+ categories of sensitive data in documents and prompts, replaces them with semantically typed placeholders before sending to any AI model, and automatically re-inserts original data into the AI's response — all processed exclusively on EU servers in Germany with full GDPR compliance.

by AgentAnywhere
AgentAnywhere Veil is a data-masking and de-identification control for AI agents that classifies PII, financial, and regulated data on every call and masks it — via reversible tokenisation or irreversible redaction — before any model, embedding service, or tool sees the raw values, with every event logged as a tamper-evident Trust Receipt.

A verifiable privacy and policy control plane for AI-agent traffic that intercepts prompts, tool calls, and tool results to pseudonymise PII, enforce deterministic access policies, and produce cryptographically anchored audit trails — enabling safe AI development and regulatory compliance without destroying data utility.

by Secludy AI
GraphReplica detects and replaces sensitive PII/PHI entities across structured and unstructured data—including spreadsheets, free text, PDFs, emails, images, and databases—with realistic, consistent synthetic stand-ins that preserve joins, relationships, and statistical utility while guaranteeing zero PII leakage, with built-in differential privacy, leakage testing, and audit-ready compliance reporting for GDPR, CCPA, and HIPAA.

Nonym is an AI and SaaS privacy platform that sits between an application and every third-party vendor, using NER-based detection to redact PII before it reaches AI providers or SaaS tools, then de-anonymising responses; it also automates GDPR data subject rights, scans vendor configurations for PII leaks, and generates continuous compliance audit trails for GDPR, HIPAA, SOC 2, and the EU AI Act.

A bidirectional AI middleware platform that automatically discovers and tokenises PII in documents and chat inputs before AI processing, then restores full original context in the results — protecting sensitive data across any AI workflow while meeting GDPR, HIPAA, PCI-DSS, and SOC 2 requirements.

by Questa AI
Questa Blackbox is a fully hosted, on-premises AI deployment installed inside an organization's own network that anonymizes sensitive data before it reaches any AI model, ensuring data sovereignty, role-based access, and continuous compliance monitoring aligned with GDPR, EU AI Act, DORA, and NIS2.

by Tonic.ai
Tonic Textual is an unstructured data de-identification and synthesis platform that automatically detects and redacts or synthesizes sensitive PII from free text and audio files—including PDFs, Word documents, CSVs, and chat logs—enabling organizations to safely train AI models, build RAG systems, and share data while maintaining compliance with HIPAA, GDPR, and PCI requirements.