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Connect Rippling to CyberArk to use your live org chart and employee status as the foundation for privileged access policy, vault access, and audit-ready offboarding.
We configure Rippling as the identity data source for CyberArk's privileged access policies, mapping employee role and department to the appropriate vault access and privilege level.
We set up offboarding workflows so termination events in Rippling trigger immediate privileged access revocation in CyberArk, ensuring departed employees cannot access sensitive systems after their last day.
For companies with Canadian entities, we confirm CyberArk's vault policies reflect any PIPEDA-related access control or data residency requirements specific to Canadian operations.
CyberArk is used by US mid-market and enterprise companies that need privileged access management (PAM) to control and audit access to sensitive systems and credentials.
Canadian and cross-border operations: For companies with Canadian entities, thePeopleStack confirms CyberArk's vault policies reflect any Canadian-specific data residency or PIPEDA-related access control requirements.
Rippling provides authoritative employee identity data — role, department, employment status — that CyberArk uses to determine which privileged accounts each employee should have access to based on their job function.
Yes — employment termination events in Rippling signal CyberArk to revoke privileged access rights immediately, which is critical for preventing unauthorized access to sensitive systems after departure.
Role changes in Rippling — promotions, department transfers — can trigger privileged access review workflows in CyberArk to confirm whether the employee's privilege level still matches their new role.
Yes — CyberArk's session monitoring can use Rippling identity data to associate privileged access sessions with specific employees for audit trail purposes.
A standard integration covering identity data feed and privileged access policy configuration typically takes 5–8 hours given CyberArk's security complexity.
