AnonyFlow
AI & Machine Learning

Connect AnonyFlow to Your AI Agents

Let Wkil agents detect and mask personal data in text before it flows into other AI systems, using AnonyFlow.

Authentication: API key

What you can do

  • Detect and mask PII in text before it reaches an AI pipeline
  • Reverse masking when the original value is needed

Available capabilities may vary by authentication and workspace configuration.

Actions supported by the connector

Anonymize Packet
Mask personally identifiable information in a batch of text.
Anonymize Value
Mask personally identifiable information in a single value.
Deanonymize Value
Restore a previously masked value back to its original form.
Deanonymize Packet
Restore a previously masked batch of text back to its original form.
Test Connection
Verify that the API connection is configured correctly.

Practical agent use cases

  • An agent strips personal data from a support ticket before sending it to a third-party model.

How it works with Wkil

  1. 1
    Choose the integration
    Add AnonyFlow to your agent from inside the Wkil platform.
  2. 2
    Grant the permissions it needs
    Define precisely what the agent can access and perform.
  3. 3
    Test, then run it
    Test actions before they go live, with human approval where needed.
Permissions always stay in your control — you can scope access and require human approval before any sensitive action.

FAQ

Can a masked value be restored later?

Yes — AnonyFlow supports deanonymizing a previously masked value back to its original form.

Build with AnonyFlow

Build with AnonyFlow