Your customer data flows through every AI tool you use
Every time an AI agent recovers a cart, confirms a COD order, sends a WhatsApp message, or personalizes a recommendation, it touches real customer PII. Names, phone numbers, addresses, payment details, UPI IDs - all flowing in clear text through prompts, memory, logs, traces, and tool calls.
Customer Data
Name, phone, email, address, UPI, card
Secureθ Vault
Tokenize, detect, protect
AI Agents & LLMs
See only tokens, never real PII
Authorized Output
Rehydrate only when needed
Tokenization, not masking. Protection, not restriction.
PII Tokenization
Auto-detect and replace sensitive data with consistent tokens before it enters any AI pipeline. Same customer always maps to the same token - patterns and relationships preserved without exposing real data.
50+ Entity Detection
Built-in NER model detects personal info (name, phone, email), financial data (UPI ID, PAN, card numbers), identity documents (Aadhaar, passport), and health records. Add custom entities via regex or data dictionary.
Selective Rehydration
Real values revealed only when needed, only to authorized users. Shipping label printer sees full address. Marketing AI sees city + pin code only. Voice bot gets first name only. You control who sees what.
Role-Based Access
Define access levels per role. Support agent sees full phone number. Marketing intern sees last 4 digits. AI agent sees only tokens. Admin sees everything with audit logging. Granular down to individual entity types.
Secure Document Vault
Encrypted storage for customer documents - KYC proofs, prescriptions (health D2C), ID documents, payment confirmations. Documents encrypted at rest and in transit. Access logged and time-limited.
Data Residency
Store customer data in India (RBI compliance), EU (GDPR), or other regions. Choose where data lives. Critical for D2C brands selling across borders or in regulated categories like health, finance, and insurance.
Three layers between your data and your AI
Intercept & Detect
Secureθ sits between your data sources (Shopify, CRM, support tools) and AI workflows. It intercepts every data request and auto-detects PII using a built-in NER model across 50+ entity types.
Tokenize & Store
Detected PII is replaced with consistent tokens and the real values stored in an encrypted vault. The same entity always maps to the same token, preserving relationships without exposing data.
Rehydrate on Demand
When an authorized user, agent, or API needs real data (shipping label, WhatsApp message), Secureθ rehydrates only the required fields. Every access is logged in an immutable audit trail.
Masking destroys value. Tokenization preserves it.
Masking
- ✗ One-way - can't recover original
- ✗ "Rahul S***" - breaks context
- ✗ Same person, different masks across docs
- ✗ Analytics become unusable
- ✗ Can't fulfill orders from masked data
Tokenization (Secureθ)
- ✓ Reversible for authorized users
- ✓ "tok_cust_7f3a" - consistent token
- ✓ Same person, same token everywhere
- ✓ Analytics work on tokens
- ✓ Rehydrate when fulfillment needs real data
Protects every xθ product automatically
Clareθ
Customer preferences and browsing data tokenized before LLM processing. AI personalizes without seeing real identity.
Cartθ
Address and payment data never exposed to recommendation engine. Smart cart operates on behavioral tokens.
Payθ
Card and UPI details tokenized across multi-gateway routing. No payment PII stored in logs or traces.
Voiceθ
Call transcripts auto-redact PII before storage. Voice recordings stored with tokenized metadata.
Agentθ
Custom AI agents operate on tokenized data by default. No PII leaks into agent memory, prompts, or tool calls.
Insightθ
Analytics runs on tokens - patterns visible, individuals protected. CM2, RFM, and cohort analysis without exposing PII.
Numbers that keep you safe
Frequently asked questions
Masking replaces sensitive data with asterisks (e.g., "Rahul S***"). It is one-way - you cannot recover the original, and the same person gets different masks in different documents. Tokenization replaces data with a consistent token (e.g., "tok_cust_7f3a"). Same person, same token everywhere. Authorized users can rehydrate tokens back to real values. Analytics and patterns work on tokens without exposing real data.
Yes. Secureθ sits between your data sources and AI workflows. When an AI agent requests customer data, Secureθ intercepts the response and replaces PII with tokens. The AI operates on tokenized data. Real values are only rehydrated for authorized humans or APIs - for example, when printing a shipping label or sending a WhatsApp message.
50+ entity types out of the box: Personal (name, email, phone, DOB, address), Financial (credit card, bank account, UPI ID, PAN, GST), Identity (Aadhaar, passport, driving license), and Health (medical records, prescriptions). You can define custom entities using regex patterns or data dictionaries for things like API keys, internal IDs, or proprietary codes.
Yes. Secureθ is designed for compliance with the Digital Personal Data Protection Act (DPDPA 2023), RBI data localization requirements, PCI-DSS for payment data, and GDPR for European customers. Data residency controls let you store data in India, EU, or other regions. The immutable audit trail provides the evidence needed for compliance reporting.
No. Tokenization adds less than 5ms of latency per request. The NER model runs inline, and token lookups are cached. For most D2C workflows (cart recovery, WhatsApp messages, personalization), this latency is imperceptible. The trade-off between 5ms of latency and complete PII protection is one every brand should make.
Your customers trust you with their data. Don't let your AI break that trust.
Secureθ tokenizes PII across your entire AI stack. Zero real data in prompts, memory, logs, or traces. Full compliance with DPDPA, GDPR, and PCI-DSS.
Protect Your Customer Data ›