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.
PII / PHI entity types
Languages supported
PDPL · DPDP ready
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 demands.
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
Role-based access isn't enough for AI agents. Meet CBAC.
RBAC was built for humans: one identity, one role, predictable requests. AI agents don’t work that way. They call tools, chain actions, and pull data across systems in ways no static role can anticipate.
IAM stops at the query. Once an agent pulls that data into a prompt or a payload, your access controls have no visibility into what happens next. The data is already exposed, and nothing is watching it.
Protecto’s Context-Based Access Control (CBAC) decides at the moment the agent asks, based on who’s asking, why, and what they’re allowed to see. Access follows the data, not just the request.
Example: the same account note read by three agents and one tool call, no schema, no fixed fields.
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
Define once, enforce everywhere.
True Multi-Tenancy
Isolate teams & customers.
Auth & Identity
AD, Okta & SSO integration.
Immutable Audit Trail
Every scan, mask, unmask logged.
Data Retention APIs
Programmatic lifecycle control.
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.
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?
Security & compliance
Certified, audited, and enterprise-ready
Independently verified controls and pre-built policies for the regulations your data is held to — SaaS, on-prem, or air-gapped.
SOC 2 Type II
Audited controls
ISO 27001
Certified ISMS
HIPAA
BAA available
GDPR
EU data ready
DPDP
India · pre-built
CCPA / CPRA
US privacy
- Independently verified to outperform AWS Comprehend and Microsoft Presidio · audit logs on every scan, mask, and unmask.
Mask PII. Keep AI accurate.
Stay compliant.
Scan, mask, and store sensitive data without breaking AI accuracy — de-tokenize on demand for authorized users only.
- SOC2 Certified
- HIPAA Compliant
- GDPR Ready
- ISO 27001