Protect Sensitive Data Before It Reaches AI
Automatically identify and mask sensitive customer data in conversations prior to being ingested by AI, enabling organizations to leverage conversation intelligence while minimizing their exposure to private and payment data.
Privacy First. Intelligence Without Exposure.
Your calls may include sensitive customer information, but they also contain valuable business intelligence.
Sensitive Data Detection
Automatically detect areas of sensitive information within customer conversations.
Pre-AI Masking
Mask sensitive information before sending the conversation to be processed by AI.
Customer Privacy
Minimize unnecessary exposure of personal identifiable information and payment information.
AI-Ready Conversations
Maintain the business information necessary for analysis and remove such nonessential sensitive content before sending the data to AI.
Your Customer's Data. Protected Before AI.
Watch how unstructured call text moves through Verbix redaction engines to generate safe, contextual intelligence.
"Hi, I'm Sarah Johnson. My account number is 78452196 and the card with the last four digits 4521 was charged $850."
"Hi, I'm [PERSON_NAME]. My account number is [ACCOUNT_NUMBER] and the card ending in [CARD_LAST4] was charged [AMOUNT]."
Protect the Information That Matters Most
Comprehensive data detection categories engineered for high-security enterprise environments.
Payment Information
- Credit card numbers
- Debit card information
- Payment details & balances
- CVV / security information
Personal Information
- Customer names & aliases
- Email addresses
- Phone numbers
- Physical street addresses
Financial Information
- Bank account information
- Routing & account numbers
- Transaction-related information
- Credit scores & loan details
Customer Identifiers
- Unique customer IDs
- Policy numbers
- Membership & loyalty IDs
- Other configurable identifiers
Custom Sensitive Data
Allow organizations to specify further types of information they consider sensitive.
See the Difference Before AI Processing
Compare unmasked AI processing risks directly against protected Verbix privacy workflow execution.
Without Data Masking
With Verbix Data Masking
Get the intelligence you need without unnecessarily exposing the information you don't.
Data Privacy Across Industries
Explore live industry conversations and observe how domain-specific sensitive data gets masked seamlessly.
Banking & Finance
Safeguard bank account numbers, PINs, card CVVs, and transaction balances before financial queries hit AI models.
A Privacy Layer Between Conversations and AI
Your Data. Your Rules.
Not every organization considers the same information sensitive. Configure the data categories your organization wants protected.
Data Protection Rules Settings
Manage pre-AI masking policies & real-time entity filters
Protect the Data. Keep the Intelligence.
Mask the sensitive values and retain the context of the conversation that AI should understand about the interaction.
Customer Interaction
Redacted Payload
Extracted Intelligence
Mask sensitive values while preserving the conversational context AI needs to understand the interaction.
Security Without Sacrificing Conversation Intelligence
Empower your organization to scale conversation analytics with bulletproof privacy controls.
Reduce Data Exposure
Minimize the exposure of sensitive customer data being processed through AI.
Protect Customer Privacy
Protect your personal and financial information that is in your conversations.
Enable Safer AI Adoption
Enable AI-powered conversation analytics with privacy controls embedded within the workflow.
Maintain Business Context
Keep on mining the conversations for interesting insights, even after you have masked sensitive information.
Frequently Asked Questions
Verbix.ai Data Privacy & Masking detects the defined sensitive data in conversations and it masks it prior to the data being submitted to AI for processing.
Verbix.ai can mask details like credit card numbers, customer identifiers, account information, names, e-mail addresses, phone numbers and other sensitive information depending on configuration.
The masking layer is intended to ensure that the defined sensitive data is not leaked into AI processing. The precise data path should be set and tested in accordance with your security policies.
Yes. institutions can select which categories of information they wish to protect that align with their privacy and security needs.
Yes. It is expected for masking to be able to remove critical/PII data and still allow further analysis of the call by intent, sentiment, compliancy and resolution.
Yes. payments-related information such as card numbers can be set up to be masked prior to AI processing.
Yes. Patient-related identifiers and other sensitive information of relevance to your privacy requirements can be custom configured for protection.
Yes. Sensitive elements pinpointed in conversation data can be masked, allowing you to work with protected versions for downstream analytics.
Yes. Different entities can customize their protection rules to the kinds of data they find sensitive.