Security leaders often find themselves caught between the need for third-party risk management and the demand for procurement speed. Rigid structures create bottlenecks, while loose ones invite shadow IT and data breaches. This guide evaluates three primary third-party risk management models to help you select an architecture that fits your organisation’s risk appetite.
Which third-party risk management model fits?
The way an organisation structures its risk function determines its ability to respond to emerging threats. No single model suits every corporate culture. Security practitioners must evaluate how much control they can realistically exercise without stifling innovation.
- Centralised Model: A dedicated team manages all assessments. This ensures high consistency and clear reporting but often slows down business units.
- Decentralised Model: Individual departments manage their own vendors. This offers maximum speed but usually results in fragmented data and inconsistent security standards.
- Hybrid Model: A central team sets the standards and provides tools, while business units perform the day-to-day assessments.
How do you balance speed and oversight?
A hybrid approach usually represents the highest level of maturity for Australian organisations. Central governance teams create the “rulebook,” such as standard contract clauses and risk tiering logic. Business units then execute these rules during the procurement process.
This model requires a robust and well maintained single source of truth for risks and assets. This doesn’t have to be an expensive GRC platform, we’ve seen SharePoint lists work well especially with automation.
What are the practical trade-offs?
Choosing a model involves a direct trade-off between resource cost and risk visibility. A centralised team requires significant headcount but delivers a “clean” audit trail for regulators. Conversely, decentralisation costs less in terms of central budget but increases the likelihood of miscommunication and re-work.
Audit results often reveal that decentralised models struggle with “tail risk”- the small, cheap vendors that hold sensitive data but fall through the cracks of department-level reviews. Practitioners should prioritise the protection of sensitive data over the dollar value of a contract when choosing their oversight intensity.
Does your current risk management approach cause procurement delays or leave visibility gaps?