LogoLogo
  • 👋START HERE
    • Welcome!
  • â„šī¸General
    • Release Notes
      • Full Feature Base Template
      • Services
      • Rule-based Automation
        • May 2025
        • February 2025
        • January 2025
        • December 2024
        • November 2024
        • October 2024
        • September 2024
        • August 2024
        • July 2024
        • June 2024
        • May 2024
        • April 2024
        • March 2024
        • February 2024
        • January 2024
        • 2023
        • 2022
        • 2021
        • Dialog Design Update
    • Glossary of Terms
    • Authentication Methods
      • SSO (Single Sign-On)
      • Built-In User Management
    • Acceptable Use Policy
  • âš™ī¸Rule-based Automation
    • Overview
      • Account Settings
        • Profile
        • Team
        • Roles and Permissions
          • User Management
          • Project Permissions
      • Basic Concepts
        • Project Management
        • Version Management
        • Multi-Lingual Bots
          • Supported Languages
        • Managing User Interactions
          • Unexpected User Input
          • No User Input
    • Dialog Interface
      • Blocks
        • Conversation Logic
          • Start Conversation
          • Global
          • State
          • Intermediate Response
          • To Previous State
          • End Conversation
        • Subdialog
          • Reusable Subdialogs
        • Phone
          • Continue Listening
          • Call Control
        • Technical Logic
          • Service
          • Condition
          • Storage
        • Other
          • Note
      • Speech Assets
        • Intents
          • Utterances
          • Descriptions
        • Slots
          • Custom Slots
            • List Slots
            • Machine Learning Slots
            • Regex Slots
            • LLM Slots
          • Prebuilt Slots
            • DTMF Slot
        • Text Snippets
        • Dictionary
      • Variables
        • Intents
        • Slots
        • Storage
        • Text Snippets
        • Environments
        • Platform
        • Context
      • Services
        • Service Integration Guide
        • Service Development
        • Service Branches and Error Handling
        • Public Services
          • Date and Birthdate Recognition
          • Spelling Post-Processing for Phone
          • IBAN Validation
          • License Plate Validation
          • Address Search
          • Street Names per Postal Code
          • Email Service
          • SMS Service
          • API Adapter
          • Salesforce-Flow Connector
          • Opening Hours
          • Speech-to-Text Hints
          • Fuzzy Match Names
          • Delay Service
      • Debugger
        • Phone 2
        • WhatsApp
        • Textchat 2
    • Environments Interface
      • Service Keys
    • Deployments Interface
      • Creating a Release
      • Editing a Release
    • Text-to-Speech
      • Azure
      • ElevenLabs
      • OpenAI via Azure (Preview)
      • SSML
        • Audio
        • Break
        • Emphasis
        • Prosody
        • Say-as
        • Substitute
        • Paragraph and Sentence
        • Voice
    • Autocomplete
    • Parloa APIs
      • CallData Service and API
      • Conversation History API
      • Textchat V2 API
    • Phone Integrations
      • Genesys Cloud
        • Setting up the SIP Trunk
        • Sending/Receiving UUI Data
        • Creating a Script to Display UUI
      • SIP
      • Tenios
        • Setting Up an Inbound Connection
        • Setting Up an Outbound Connection
        • Transferring a Call
      • Twilio
      • Public IPs and Port Information
    • AI Integration Overview
      • Dual Intent Recognizer (DIR)
      • Dual Tone Multifrequency (DTMF) Intent
    • Analytics and Debugging
      • Understanding Conversations and Transactions
      • Managing Caller ID Data
      • Hangup Events and Triggered Analytics
      • Analytics Transactions: Data Structure and Insights
      • Dialog Analytics
      • Audit Logs
      • Parloa-hosted Analytics
    • Data Privacy
      • Anonymizing Personally Identifiable Information
    • NLU Training
      • NLU Training Best Practices
    • How To
      • Create a Scalable and Maintainable Bot Architecture
      • Implement OnError Loop Handling
      • Resolve the 'Service Unavailable' Error
    • Reference
      • Parloa Keyboard Shortcuts
      • Frequently Asked Questions (FAQ)
      • JavaScript Cheat Sheet
        • Using Regular Expressions (Regex)
  • 🧠Knowledge Skill
    • Introduction
    • Knowledge Collections
    • Knowledge Sources
    • Knowledge Skill Setup
      • Step 1 – Create a Knowledge Skill Agent
      • Step 2 – Configure a Knowledge Skill Agent
      • Step 3 – Configure a Knowledge Skill Agent
Powered by GitBook
On this page
  • Overview
  • Anonymization Process
  • Opt-in/Opt-out of the feature
  • Highlighting anonymized values
  • Data Retention
  • Training Screen
  • FAQs

Was this helpful?

Export as PDF
  1. Rule-based Automation
  2. Data Privacy

Anonymizing Personally Identifiable Information

PreviousData PrivacyNextNLU Training

Last updated 9 months ago

Was this helpful?

Overview

Parloa provides robust features for anonymizing sensitive data, ensuring the privacy and security of personally identifiable information (PII). This process includes the anonymization of data such as names, birthdates, driver's licenses, addresses, IDs, phone numbers, emails, bank numbers, and other sensitive information.

Parloa uses industry-standard protocols to identify and manage PII data.

The anonymization of PII is currently applicable only to the screen. The feature is enabled by default for all projects and can be turned off using the toggle on the the screen.

Anonymization Process

Parloa replaces actual PII with augmented data to protect your privacy. For example:

  • Names are replaced with different names.

  • Birthdates are replaced with different dates.

All sensitive data is similarly replaced with realistic but fictitious information.

Opt-in/Opt-out of the feature

There is now an option to opt-in or out of anonymizing PII training data at Project level must you choose it. This can be done easily with the toggle option on the training screen. Once the toggle is turned off, the PII data will no longer be anonymized and replaced with fake realistic data.

Previously anonymized values will not be unanonymized. Once the feature is toggled off, the change takes effect for the future unassigned utterances.

Highlighting anonymized values

The anonymized values are now highlighted with a different colour to bring transparency.

The values are highlighted provided the feature is enabled and only future PII Data will be highlighted once anonymised.

Past PII data, (even if anonymized) are not highlighted.

Data Retention

Training Screen

However, if you have permissions to Debug or Edit Project enabled for your role and you click on the utterance, the context of the conversation is displayed in a pane on the right. In this pane, the content remains as it was originally said, not anonymized.

To view the context sidebar of a conversation and access analytics data, the Debug permission must be enabled for the respective role.

FAQs

How would this PII feature be enabled?

This feature is enabled by default on the Training screen for all new unassigned utterances, and one can opt-out of this feature using the toggle. The feature can be turned off or on for a Project.

What happens to the PII data shown in the Debugger?

The handling of PII data in the Debugger remains unchanged. To restrict access to PII data on the Debugger, please provide the appropriate access permissions to your users.

What languages are supported to anonymize PII data?

Currently, English (US & UK) and German (DACH) are supported.

How long does it take to anonymize PII data in unassigned utterances, and could there be a delay in displaying these on the training screen?

The anonymization process for unassigned utterances can take up to 2 minutes. During this time, the utterances may not be displayed on the Training screen until the anonymization is complete.

In the tab, when you click on one of the utterances in the table, the displayed utterance is anonymized to ensure privacy. When adding assigned utterances to an intent, the anonymized utterance will be assigned.

âš™ī¸
Training
Anonymization Example
Toggle on Training Screen
Debug Permission
Context Sidebar
Training