Using Source Recommendations
SailPoint's AI algorithm leverages data in Identity Security Cloud to provide source configuration and onboarding recommendations. These data-driven recommendations can help streamline decisions and speed up onboarding. Recommendations are dependent on the quality of customer data.
Recommendations use the most up-to-date identity data in your tenant and the latest account data received from that source. The account data used to generate recommendations is refreshed when there is an update to the source attributes since the last account data refresh, or if the present account data was refreshed more than an hour before.
Recommendations are available for account correlation, account provisioning, and app discovery.
To receive recommendations, you must first connect and aggregate an authoritative source. Flat file sources do not support recommendations.
Account Correlation Recommendations
You can use recommendations to add, optimize, and test account correlation mappings. The number and quality of account correlation recommendations depend on the quality of your provided data.
The identity profile configuration is used to populate the appropriate identity attributes from the account on the authoritative source. These identity attributes are used by the AI algorithm to generate recommendations for other sources.
Important
After identities have been created in Identity Security Cloud, it might take 12 - 24 hours before they are considered in correlation recommendations.
Account Provisioning Recommendations
You can use recommendations to replace the account attribute mappings from the enterprise application with pairings that have a higher percentage of matching values between the selected account attribute and suggested identity attribute. The number and quality of account mapping recommendations depend on the quality of your identity data and account data.
The identity profile configuration is used to populate the appropriate identity attributes from the account on the authoritative source. These identity attributes are used by the AI algorithm to generate recommendations for other sources.
Policy recommendations are based on overlaps between the account attribute and identity attribute. For example, if 90% of accounts share the value of an account attribute with the identity attribute's value, that would be a good pair for policy recommendations.
Note
When using generic connectors, ensure the target system supports the setting of account attributes in the Create Account policy when creating an account.
Important
After accounts have been created in Identity Security Cloud, it might take 12 - 24 hours before they are considered in provisioning recommendations.
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