Hi Camilo,
This is a great question, especially since Participant Data is often used to pass information between Architect flows, integrations, and routing logic.
From an architectural perspective, your proposed approach of overwriting Participant Data after the interaction ends can work, but I would view it as a compensating control rather than a primary security strategy.
My Recommendations
1. Avoid Storing Sensitive Data Whenever Possible
The best practice is usually to avoid placing sensitive information in Participant Data unless it is absolutely required for call processing.
Before storing information such as:
- Account numbers
- Government IDs
- Credit card information
- Personal identifiers
ask whether a token, reference ID, or lookup key could be used instead.
For example:
Instead of: CUSTOMER_DOCUMENT = 1234567890
Store: CUSTOMER_ID = ABC123
and retrieve the sensitive information from a secure external system only when needed.
2. Overwriting Participant Data Is Better Than Leaving It Behind
If sensitive values must exist during the interaction, overwriting them after call completion is certainly better than leaving the original values available indefinitely.
Your workflow:
Conversation Ends
↓
Trigger Fires
↓
Update Participant Data
↓
Replace Values with REDACTED
is a reasonable approach for reducing exposure in interaction details.
3. Be Careful About Timing
The main concern I would have is timing and event processing.
Questions to validate include:
- Has all required reporting completed?
- Have any workflows, triggers, or integrations already consumed the data?
- Does the update occur before any downstream process needs the original value?
In general, a conversation disconnect/completed event is probably the logical place to perform the cleanup, but thorough testing is important.
4. Verify What Gets Persisted
This is the most important question in your post.
Even if you overwrite:
CUSTOMER_DOCUMENT = REDACTED
you should verify whether:
- Historical analytics
- Event streams
- Audit records
- Integration logs
- External systems
- Conversation detail records
have already captured the original value.
Overwriting the current Participant Data value does not necessarily guarantee that the original value has been removed from every location where it may have been recorded.
5. Consider Data Governance Requirements
Depending on the type of information involved, you may also want to review:
- Internal security policies
- Data retention requirements
- Privacy requirements
- Compliance requirements
The ideal solution is usually:
Minimize
↓
Tokenize
↓
Protect
↓
Remove when no longer needed
rather than storing sensitive values and cleaning them afterward.
My Preferred Approach
If possible, I would rank the options as:
1. Best: Never store the sensitive value in Participant Data.
2. Better: Store a token/reference key and retrieve the sensitive data from a secure source when needed.
3. Good: Store the value temporarily and overwrite it immediately after the conversation completes, as you're proposing.
Your approach can definitely help reduce exposure, but I'd recommend testing carefully to confirm whether the original value remains available anywhere else in the conversation lifecycle.
I'd be interested to hear if anyone from Genesys Product or Professional Services has specific guidance on Participant Data sanitization and retention behavior.
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Francis Guo
NA
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