Use AI Without Breaking Data Sovereignty Laws
Many data-sovereignty laws prevent companies from using LLMs like OpenAI, Gemini, or Anthropic. Protecto detects and masks sensitive data before it leaves your jurisdiction, ensuring compliance
- Works with OpenAI, Gemini, Claude & more
- PDLP, DPDP, HIPAA Ready
- Trusted by Engineering Teams Building AI at Scale
Data Sovereignty Laws Block Your AI Adoption
Protecto detects and masks sensitive data before it leaves your jurisdiction - with 99% accuracy and zero data leakage.
Why DLPs can't solve it
- Over-blocking: Redacts entire prompts, rendering LLM reasoning useless
- Under-protecting: Misses sensitive data in multilingual or malformed text
- Wrong architecture: Built for static emails/databases, not dynamic workflows
- False accuracy trade-off: Security vs. usability—not both
How Protecto Solves It
- Context-aware detection: AI-powered semantic understanding catches PII/PHI even in Arabic/English mixed text
- Accuracy-preserving masking: Intelligent tokenization maintains structure so LLMs generate accurate responses
- AI-native design: Built for prompts, responses, agents, and RAG workflows
- Both: Full security AND full AI accuracy (>85% similarity maintained)
Your Gateway to Sovereign AI
See how Protecto keeps your data inside your jurisdiction while enabling modern AI. Meet compliance while safely enabling the use of LLMs and AI agents
Detect
Deep learning model identifies PII, PHI, financial data, and secrets across structured/unstructured data. Handles typos, multilingual text, and encoding noise
Mask
Sensitive entities replaced with context-preserving tokens. Email structure maintained. JSON preserved. Meaning retained so AI reasoning stays intact.
Process
Masked data flows to LLM (GPT, Gemini, Claude) inside your private cloud. Raw sensitive data never leaves your jurisdiction.
Unmask
Response flows back through vault. Tokens replaced with original values. User sees complete, accurate response. Full audit trail maintained.
Proven Results in Regulated Environments
Metrics from a leading Middle Eastern bank deployment.
>99%
Recall
Accurately identifies nearly all sensitive entities, even in malformed Arabic-English mixed text
>96%
Precision
Extremely low false positives. Minimal over-blocking of legitimate data
>85%
Cosine Similarity
Masked outputs remain semantically identical. AI reasoning fully preserved
4 Weeks
to Live
From pilot agreement to production deployment with minimal IT disruption
Built for Enterprise AI & Compliance
Three core capabilities that replace fragmented DLP + masking tools.
DeepSight Detection Engine
Semantic detection that understands context. Goes beyond regex patterns to reason through real-world data.
- PII, PHI, PCI, financial data, secrets
- Multilingual (50+ languages)
- Handles typos, malformed text, abbreviations
- >99% recall on real data
Context-Preserving Masking
Mask without breaking AI reasoning. Intelligent tokenization maintains structure, length, and semantic intent.
- Email/phone structure preserved
- JSON/code blocks handled correctly
- >85% cosine similarity maintained
- Format-aware tokenization
Local Vault & Auditability
Deploy entirely within your private cloud or on-premises. Raw data stays inside your jurisdiction. Full compliance audit trails.
- HIPAA, GDPR, DPDP, PDPL ready
- Encrypted token storage
- Role-based vault access
- Immutable audit logs
How a Leading Middle Eastern Bank Achieved Sovereign AI
Strict data sovereignty laws prohibited customer and financial data from leaving the country. Using public LLM APIs would immediately breach regulations. Traditional DLP created an impossible choice: compliance risk or unusable AI.
- >99% detection accuracy (even in malformed text)
- >85% maintained AI reasoning accuracy
- Full regulatory compliance achieved
- 4-week deployment with minimal IT effort
Traditional DLP broke on Arabic/English mixed text. DeepSight's semantic understanding handled it natively.
Data protection needed across multi-step agent pipelines and RAG flows, not just static data at rest.
Context-preserving masking achieved full security AND full AI accuracy simultaneously.
Integrate Anywhere in Your AI Stack
Deploy once, protect everywhere: LLM prompts, data pipelines, agents, and real-time interactions.
Compatible With
Why Protecto Replaces Legacy DLP + Homegrown Solutions
Head-to-head comparison with traditional approaches.
Features | Protecto | DIY Solution | Generic Tools |
Time to Production | < 1 week | 6-18 months | 2-4 months |
PII/PHI Accuracy | 99.9% (AI-powered) | 85-90% (regex-based) | 92-95% (rule-based) |
Context Preservation (AI accuracy intact) | |||
Multilingual support | 50+ languages | ||
Real-Time RBAC | Partial | ||
Multi-Tenancy | Limited | ||
On-Premises Option | |||
Auto-Scaling | |||
Compliance Reporting | Basic | ||
Total Cost (1st year) | $$ | $$$$$+ | $$$$ |
Built for Enterprise Compliance
Regulatory confidence from day one.
HIPAA
GDPR
CCPA
DPDP
PDPL
more...
Ready to Enable Sovereign AI?
Start protecting sensitive data in AI workflows today. No credit card required—4-week pilot included with your free trial.
- SOC2 Certified
- HIPAA Compliant
- GDPR Ready
- ISO 27001