As organisations strengthen their operational resilience programs, APRA CPS 230 is now a catalyst to improve how operational risks, controls, incidents, and third-party service providers are managed. Yet many organisations still rely on disconnected processes and siloed data that make compliance more difficult than it needs to be.
Discover how ProcessUnity AI transforms third-party risk assessments by automating questionnaire completion and evidence validation.
The surface-level metrics say your Third-Party Risk Management (TPRM) program is working. Assessments are moving. Vendors are being reviewed. Workflows are being documented. On paper, the program looks mature. So why is it still failing to prevent gaps and risk exposure points from existing? Despite assessments regularly occurring, procurement still waits on risk decisions before […]
Regulators now expect organizations to manage affiliates with the same discipline applied to external third parties. Yet many teams still rely on spreadsheets, homegrown systems, or TPRM platforms that were not built to handle the interconnectedness of affiliate relationships. This brochure explores how ProcessUnity Affiliates Risk Management (ARM) gives organizations a clearer view of intragroup […]
Walk through a modern approach to risk scoring that combines automated inherent risk classification, dynamic assessment scoping, and continuous controls intelligence. Built on the ProcessUnity Risk Index, a 100-point rating that blends inside-out control data with outside-in threat signals and refreshes every 24 hours, this approach replaces guesswork with structured, defensible scoring across the entire […]
Third-party risk teams face growing pressure to assess more vendors, handle more evidence, and defend decisions under increasing regulatory scrutiny. But are current assessment processes fit for purpose? In a new global study of 259 risk professionals, CeFPro and ProcessUnity uncover how leading organizations are transforming Third-Party Risk Management—from questionnaire-driven assessments to data-led, control-based validation.