Vendia Third Party Data Risk Management Maturity Model Infographic.pdf

Third-party data risk maturity model: A roadmap for success

Third-party data risk management demands a new perspective. Unlike traditional approaches, it recognizes that operational risks extend beyond your organization’s internal walls. Every piece of data flowing through your business ecosystem, from partners to vendors, is a potential vulnerability. Our maturity model charts your course to mastering third-party data risk. This framework helps organizations navigate the journey, from identifying data threats posed by third parties to building cost-effective programs that safeguard your most valuable partnerships.

STAGE

Stage Unaware Reactive/ Piloting Standardized Strategic Integrated/ Predictive
Program scope Limited to none pilots Siloed; focused on intra-function Cross-unit Cross-division, Cross-partnerships
Resources & processes Ad hoc teams Conscripted from existing security or compliance Budgeted company-wide but varies by unit Uniformly staffed, deployed, and monitored; Partners are at the same maturity level/outcome as company
PROGRAM ATTRIBUTES
Costs Largely unknown Reactive and unpredictable— focused on remediations Initial program deployments and expenses exceeding benefits Efficient intra-company cost/benefit outcomes Efficient cross-company cost/benefit outcomes
Governance Lacking Policies may be partially present but are not enforced Broadly defined policy enforcement with some automation Company-wide policy automation with limited external enforcement End-to-end data usage and rights enforcement
KEY INITIATIVES
Auditing Manual or missing Primarily manual, with some automated reporting Workgroup- or department-scoped automation Company-wide automation Cross-company & partner automation with real-time auditability
Achievable tracking resolution N/A Datasets Individual tables/files Columns, intra-file content Columns, intra-file content with partner-spanning lineage
Platform & sidecar adoption None/unaware Piloting / Learning Initial deployments; piloting partnerships Company-wide deployment; limited partnership use Widely deployed internally and across partnerships
INTEROPERABILITY Integrated with… Limited to no systems Primarily compliance activities or litigation driven Compliance, security, auditing, and reporting Compliance, security, auditing, reporting, analytics, and data tooling
STRATEGIC VALUE GAP cost. different entities. Very large Critical vulnerabilities, absent or ineffective controls, low risk awareness, inconsistent results Large Significant exposure to threats, limited risk mitigation, basic risk identification, and unaligned goals Moderate Identified and prioritized risks, with partial implementation of controls
Mild Low-probability, high-impact risks primarily driven by external factors None Mature risk management practices resulting in consistent, predictable, and optimal outcomes

The silver lining: data automation pays off. Tools are key. Data automation isn’t just a hygiene factor; it’s a strategic investment. Automating data risk management, including internal and external audits, cuts costs over time.