Data Privacy Vault for AI
Mask PII.
Keep AI accurate.
Stay compliant.
Protecto is an enterprise-grade data privacy vault platform. It scans, masks, and stores sensitive data, then de-tokenizes it on demand for authorized users. Your AI pipelines keep working. Your data stays private.
- Trusted by Engineering Teams Building AI at Scale
How it works
Scan. Mask. Control.
In any order you need.
Three capabilities. Work independently or together. Real-time or async.
Sensitive Data Scanning
Detects hundreds of PII and PHI types in 50+ languages across structured tables and unstructured text. Outperforms AWS Comprehend and Microsoft Presidio on precision.
Intelligent Tokenization
Entropy-based tokens for security. Format-preserving for databases. Context-preserving for AI accuracy. Same entity, same token, across every system.
Controlled De-tokenization
Authorized users unmask on demand, role by role. Everyone else works with tokens. Full audit trail included.
The Technology
Not just masking. A privacy engine built from the ground up for AI.
Generic data masking breaks AI pipelines. Protecto was designed to preserve the accuracy your models need while giving you the control compliance requires.
Entropy-based tokenization
Tokens come from system-level noise, not predictable algorithms. Virtually impossible to reverse-engineer, even with token access.
Consistent tokenization
"Sarah Mitchell" in your CRM, a data warehouse, an EHR, or a chat log to the same token. Join datasets and train models across systems, no raw PII needed.
Accuracy-preserving masking
Semantic context survives masking, so LLMs still generate accurate responses. Measured with RARI, our independently validated accuracy metric.
Fixed-Length Type Tokens
For structured data, tokens match the original field type. A 9-digit SSN maps to a 9-character token. Dates stay dates. Phone numbers stay phone-shaped. No schema changes, no ETL refactoring.
Data Coverage
Structured tables. Unstructured text.
Both, handled correctly.
Protecto applies the right tokenization strategy automatically based on where data lives.
Structured data
Databases, data warehouses, ETL pipelines
- Fixed-length type tokens that fit existing column constraints, no schema changes needed
- Format-preserving masking for SSNs, credit cards, phone numbers, and dates
- Consistent tokens across tables so joins and foreign key relationships still work
Unstructured data
Documents, conversations, clinical notes, logs
- Context-aware NLP finds PII in natural language, not just pattern matching
- Semantic token replacement preserves sentence meaning so downstream AI stays accurate
- Handles partial addresses, informal name variations, and industry-specific PHI
Context-Based Access Control
Role-based access isn't enough for AI agents. Meet CBAC.
Traditional RBAC was designed for humans clicking through apps. AI agents don't work that way. They call tools, chain actions, and access data in ways no static role can govern. Protecto's Context-Based Access Control (CBAC) makes data access decisions at the moment the agent asks, based on who's asking, why, and what context they're operating in.
Powered by DeepSight
Detect Sensitive Data That No Generic Tool Knows About
Every industry has its own version of sensitive data. Healthcare has MRNs and NPI numbers. Banking has IBAN codes, account identifiers, and internal policy fields. Generic tools miss them. DeepSight doesn’t.
DeepSight lets you extend Protecto’s core AI models with your own entity types, custom regex patterns, and organization-specific logic. You can also bring existing internal classifiers and plug them in as first-class identification sources.
- 200+ built-in PII, PHI, and PCI entity types out of the box
- Industry-specific add-ons for healthcare and banking
- Custom entity patterns from your own schema knowledge
- Works across both structured columns and unstructured free text in 50+ languages
Platform Capabilities
Built to run at enterprise scale, not just in demos
Most tools stop at detection. Protecto ships with the controls enterprise security and compliance teams actually require.
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
Policy-Based Masking
Set masking rules by data type, environment, or team. PHI masked in prod can be partially visible in staging. Rules apply consistently across every API call.
True Multi-Tenancy
Isolated token namespaces per customer or team. Tenant A's tokens have zero relationship to Tenant B's, even for identical input values.
Auth & Identity Integration
Works with OAuth 2.0, SAML, Okta, and Azure AD. Unmask decisions are tied to user identity, session context, and group membership.
Immutable Audit Trail
Every mask and unmask is logged with timestamp, identity, and the policy that permitted it. Exportable for HIPAA, SOC 2, and GDPR audits.
Data Retention APIs
Configure how long token mappings are retained per namespace. Set retention periods of 30, 60, or 90 days. When the period expires, mappings are purged automatically, keeping your vault clean without manual intervention.
Use Cases
Where teams are using
Protecto today
Protecto handles the privacy layer. Your team focuses on building.
Agentic AI and RAG Pipelines
Feed your LLMs and agents context data without sending raw PII to external models. Protecto masks before the prompt, unmasks in the response for authorized users only.
Healthcare AI
De-identify PHI across EHR exports, clinical notes, and imaging metadata. Stay HIPAA Safe Harbor compliant without sacrificing model accuracy for recommendation and diagnosis tools.
Financial Services
Tokenize PII and PCI data for fraud detection and credit risk models. Consistent tokenization lets you join customer data across systems for analytics without exposing raw values.
Dev and test environments
Use production data for testing without the compliance risk. Protecto creates masked copies that behave exactly like real data so your tests are meaningful.
Data migration and ETL
Mask billions of rows in bulk during data lake migrations, cloud moves, or platform consolidations. Schema stays intact. Your downstream tools don't notice the difference.
Cross-border data sharing
Share data across teams, subsidiaries, and partners in different regions. Consistent tokenization means the same record is anonymized the same way everywhere, making cross-border compliance tractable.
Independently Verified
Higher precision.
Fewer false positives.
A third-party study by DataXpert, in collaboration with UT Dallas, benchmarked Protecto against AWS Comprehend and Microsoft Presidio on 3,000 samples across 8 PII categories.
Protecto delivered the highest precision across every category tested, with near-zero false positives on SSNs, credit card numbers, and phone numbers, the exact fields where getting it wrong causes the most damage.
Security and Compliance
Compliance isn't a checkbox.
It's built into the platform.
Every Protecto deployment includes audit logs for every scan, mask, and unmask event. We sign BAAs for HIPAA. We support data residency and air-gapped deployments for strict sovereignty requirements.
FAQ
Common Questions
What's the difference between tokenization and encryption?
Will masking break my AI model's accuracy?
How does consistent tokenization work across systems?
Can I handle data types specific to my industry?
How quickly can we go live?
What compliance standards does Protecto support?
Your AI shouldn't have to choose between accuracy and privacy.
With Protecto, it doesn't have to. Talk to us about what you're building. See how Protecto works on your actual data in a live demo.
- SOC2 Certified
- HIPAA Compliant
- GDPR Ready
- ISO 27001