Stop Didit using your verification data to improve its models in Settings, General, Privacy and data use. One organization-wide switch, effective immediately.

Short answer

Open Business Console → Settings → General for your organization, find the Privacy and data use section, and turn off Allow Didit to use my organization's verification data to improve models. Confirm Opt out. It applies to the whole organization immediately.

Didit allows model training by default. Any organization owner or administrator can opt the whole organization out at any time, without contacting anyone.

#Opt out from the console

  1. Open your organization's General settings

    Click Settings at the bottom of the sidebar, then General under your organization. It is the page that also holds your organization name, logo and details.

  2. Find the Privacy and data use section

    Scroll down to More settings and find the Privacy and data use section.

  3. Turn the switch off

    Turn off Allow Didit to use my organization's verification data to improve models.

  4. Confirm

    A dialog asks Opt out of model improvement?. Click Opt out. The section then shows an Opted out badge.

#It is one switch for the whole organization

There is no per-application version of this setting, and it does not live under an application's settings. One switch in your organization's General settings covers every application in the organization, and every verification your organization has already run.

Important

This is a different setting from data retention. Retention lives per application under Developers → API keys → General → Data retention and controls how long Didit stores a session. The model training switch does not change retention, and changing retention does not opt you out of model training. See how Didit protects your users' data.

#What opting out does

Once the change takes effect, Didit excludes both your organization's historical and newly collected data from future:

  • model training and fine-tuning;
  • model evaluation and validation;
  • dataset curation; and
  • training-data exports.

Each effective change is recorded for audit purposes.

#What opting out does not do

  • It does not delete anything. Your verification records stay exactly as they were. To remove data, see deleting sessions and personal data.
  • It does not change your retention window.
  • It does not affect live processing. Verification, fraud detection, support, security and compliance processing continue unchanged.
  • It is not retroactive on models. Models already trained before you opt out are not retrained or untrained.

#Who can change it

Only members with permission to update the organization, which in practice means owners and administrators. Everyone else sees the current state but cannot change it. See inviting team members and setting roles.

#Turning it back on

Turn the switch on again and your organization's eligible data becomes available for future model work. There is no confirmation dialog for opting back in.

Note

Opting out is self-serve, so support cannot do it for you and you do not need to email anyone. Other privacy requests, such as erasure on behalf of one of your users or a question about Didit's role as processor, still go to privacy@didit.me.

Still stuck? Talk to a human.

Include your organization ID and the session ID you are asking about.

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