Third-Party Vendor Risk Management for Financial Institutions: Navigating A Complex Landscape

Adopting third-party services is one way for financial institutions to embrace digitalization and improve operational efficiency. From cloud platforms and payment processors to SaaS automation tools and AI-powered systems, third-party vendor relationships cover banks’ daily tasks and even critical business operations.

Yet, as digital transformation accelerates, partner ecosystems are becoming increasingly complex and tightly integrated, introducing new challenges in third-party vendor risk management for financial institutions. In a 2025 survey by Ncontracts, two-thirds of financial institutions reported growing pressure to improve third-party risk management practices. Regulatory scrutiny has also intensified, with the Federal Reserve System and Federal Deposit Insurance Corporation placing stronger emphasis on institutional accountability for vendor failures.

This article explores the core elements of effective third-party risk management for financial institutions, focusing on best practices and real-world examples. It also reflects insights gained from projects delivered by the Neontri team, along with the latest trends in risk monitoring.

Key elements of strong third-party vendor risk management

A study from SecurityScorecard found that 97% of the top 100 US banks experienced at least one third-party data breach, even though only 6% of vendors were directly compromised.

As financial institutions deepen their reliance on third-party services, their digital ecosystems grow more interconnected and, thus, more fragile. Therefore, banks should follow effective risk management frameworks that are proactive and aligned with business priorities. The foundational elements of such frameworks include:

• Risk-based vendor segmentation. An organization’s third-party vendors should be segmented into tiers (e.g., critical/high/low risk) based on their access to sensitive systems, regulatory exposure, and business impact. According to Ncontracts, 64% of institutions currently assign risk ratings at the product or service level, enabling more tailored oversight and allowing risk teams to focus controls where they matter most.
• Due diligence and onboarding protocols. Thorough pre-engagement screening is the foundation of all risk controls. This includes financial health checks, background verification, technical audits, and business continuity plan reviews to assess the third party’s ability to meet expectations.
• Integration with enterprise risk management. Finance firms should embed vendor oversight into their risk management process to map interdependencies and shared issues across business units.
• Service level agreements (SLAs) and contractual safeguards. Well-drafted contracts should include contractual obligations, audit rights, data handling clauses, regulatory triggers, and automated update mechanisms.
• Continuous vendor monitoring. Ongoing monitoring helps detect risk signals that static reviews miss. EY recommends replacing traditional annual or biennial risk reviews with continuous oversight across internal and external data sources, including social media, news alerts, and operational systems. 
• Using technology and automation. Risk management tools that track real-time signals such as negative media coverage, data leaks, or operational disruptions can support risk mitigation efforts. According to the 2025 Ncontracts survey, institutions using automated TPRM software report better audit performance and fewer unremediated risks.
• Exit strategies and transition planning. The termination of vendor relationships often involves critical services or data. Therefore, banks should prepare for failures, breaches, or non-compliance with documented backups, transition playbooks, and data migration procedures.
• Regulatory compliance and audit readiness. Institutions must ensure third-party practices align with regulatory requirements, including the Gramm-Leach-Bliley Act (GLBA), General Data Protection Regulation (GDPR), and guidance from the Federal Reserve System and the Federal Deposit Insurance Corporation.
• Data breach and leak detection. Vendors handling sensitive customer data require additional controls, including DLP, encryption standards, and immediate breach notification obligations.

Mastering third-party vendor risk: Best practices for financial institutions

Third-party risk management (TPRM) in financial institutions has shifted from a compliance function to a strategic capability. Mature organizations build their programs around business continuity, regulatory scrutiny, and operational resilience. The following approaches are drawn from recent regulatory guidance and widely adopted industry practices.

Prioritize high-risk vendors with a tiered approach

Not all vendors pose the same financial risk. The Federal Reserve emphasizes the need to tailor control mechanisms based on actual exposure rather than generic categories. In high-risk relationships (e.g., those involving customer data, payment systems, or core infrastructure), oversight should begin at procurement and continue through the vendor lifecycle. This approach improves visibility into inherent vulnerabilities and avoids overextending limited resources on low-risk services such as office maintenance or staff training tools.

Align vendor risk with organizational goals

Financial institutions should embed TPRM into broader strategic and operational priorities, including regulatory compliance, customer trust, and operational resilience. This is no longer optional but essential for sustained performance and long-term planning.

According to EY, effective TPRM needs to be strategic, real-time, and connected to enterprise value creation. To achieve this, institutions should build clear TPRM roadmaps supported by executive buy-in, allocated resources, and defined maturity benchmarks.

Continuously monitor vendors using real-time signals

One of the biggest challenges in managing third-party risk is maintaining an up-to-date view of vendor effectiveness. The Federal Reserve highlights that mature programs should monitor performance metrics, risk indicators, and contract compliance on a rolling basis.

The 2024 Fiserv outage can serve as a cautionary tale here. A failed network update at a Fiserv data center caused more than 12 hours of downtime for Zelle and ACH services, disrupting about 60 applications. Although Zelle itself was not compromised, the outage affected banks that accessed it via Fiserv. The incident revealed how quickly dependencies can ripple through interconnected services and why continuous monitoring, contractual uptime guarantees, and tested escalation paths are essential for mitigating third-party disruptions.

Engage stakeholders across IT, legal, compliance, and business lines

Fragmented ownership, where Information Security runs the TPRM program, business owners manage vendor relationships, and the procurement department oversees onboarding, often leads to siloed efforts and inconsistent remediation. 

Establishing shared accountability and cross-functional workflows helps ensure coordinated oversight and faster, more consistent risk resolution. Building on this, the Neotas TPRM Framework highlights the need for collaboration among legal, compliance, procurement, risk, IT, finance, operations, audit, ESG, and executive leadership.

Automate risk assessment and document workflows

Automation software is also critical for effective third-party risk management. By centralizing assessments, validating responses, and automating risk mapping, financial institutions can speed up reporting and meet compliance requirements. This also ensures visibility across the entire vendor lifecycle (from onboarding through termination) while promoting consistency.

Terminate vendors that fail to meet obligations

Financial institutions should be prepared to end relationships with third-party entities that fail to meet performance expectations, breach contractual terms, or introduce unacceptable risk. Long-standing partnerships or sunk costs should not delay offboarding. Instead, predefined exit strategies should guide the process to ensure service continuity, secure data handover, and regulatory reporting.

Include specific KPIs and audit rights in contracts

Clear expectations reduce compliance risk. This is especially important for community banks, which often face resource constraints and need enforceable agreements.

To mitigate contractual risk, financial institutions should avoid accepting standard vendor agreements without negotiation. Contracts must clearly define performance benchmarks (e.g., 99.9% uptime), audit rights, review frequency, and penalties for non-performance. Additionally, they should include provisions for business continuity, legal liability, subcontracting oversight, and termination procedures, including data return and disposal.

Regularly update due diligence processes

Due diligence must evolve with the risk landscape. The Basel Committee advises financial organizations to regularly refresh their assessment frameworks to reflect changes in technology, vendor operations, and emerging threats. 

In addition, Neotas recommends a layered approach that extends beyond onboarding, with periodic reviews of security, financial, and legal standing. Updating questionnaires, risk scores, and escalation triggers ensures that due diligence stays relevant and responsive to shifting vulnerabilities.

Choosing a vendor that operates in a safe and sound manner

This principle, outlined in US regulatory guidance, calls for evaluating financial stability, cybersecurity maturity, and incident response capabilities, even when working with top-tier vendors like AWS.

One notorious example comes from a former AWS employee who exploited a firewall misconfiguration to access data on 100 million Capital One customers. The bank failed to encrypt sensitive information and lacked strong internal controls, and as a result, was fined $80 million for failing to establish adequate risk assessment procedures before migrating critical systems to the cloud.

Protecting consumer data through vendor oversight

Failing to protect consumer data from vendor breaches and mismanagement exposes financial institutions to operational, regulatory, and cyber risk. The Infosys McCamish breach, which exposed the personal data of 6.5 million Bank of America customers, and the American Express breach tied to a third-party processor, reveal how quickly consumer data can be compromised through vendor-side vulnerabilities. Despite working with high-profile providers, both institutions faced fallout due to their vendors’ weak cybersecurity risk controls.

Using AI for reviewing vendor submissions and contracts

For financial organizations, AI tools can deliver value by automating resource-intensive tasks that follow clear rules, such as document review, extraction of contract metadata, and flagging anomalies in third-party profiles. However, AI should not replace human oversight required in escalations, exit planning, or interpreting third-party vendor risk in light of changing regulations.

Designing and testing exit strategies before a disruption occurs

The Basel Committee recommends that financial institutions maintain both planned exit procedures and fallback strategies for unplanned scenarios. These should address data handover, access revocation, transition to backup vendors, and client impact mitigation. More importantly, they must be tested. Building and rehearsing these scenarios strengthens business continuity and protects the institution’s ability to meet regulatory compliance requirements during service interruptions.

Key challenges in third-party vendor risk management for financial institutions

Despite 90% of financial institutions claiming their TPRM programs are fully established, critical challenges remain in staffing, automation, and visibility. Below, the most pressing challenges are summarized based on recent industry findings.

• Manual processes still dominate core workflows. Legacy systems, Excel-based assessments, and siloed vendor data slow down reviews, yet 50% of financial institutions rely on spreadsheets or email to manage vendor data.
• Scaling risk programs across numerous vendors. 73% of institutions surveyed by Ncontracts report having only two or fewer full-time staff members—the majority of whom have a workload of more than 300 vendors. This imbalance makes it difficult to perform risk assessments at scale or keep pace with internal demand.
• Fourth-party risk remains largely invisible. According to SecurityScorecard, 41.8% of breaches affecting leading fintech companies originated from third-party vendors, and an additional 18% stemmed from fourth parties, such as their vendors’ partners. This layered exposure highlights why extended provider networks must be monitored and factored into incident response strategies.
• Vendor security posture is difficult to assess in real time. Institutions rely on self-reported data from vendors, which may be outdated or incomplete. Without real-time visibility, security incidents may go undetected until damage is done.
• Static reviews can’t keep pace with dynamic risk conditions. As financial institutions adopt AI, integrate cloud-native tools, and face geopolitical volatility, third-party exposures evolve faster than most risk teams can reassess them. Without continuous monitoring, risk drift becomes unavoidable.

Trends in third-party vendor risk management for financial institutions

As third-party ecosystems grow more complex, financial organizations are adapting their risk management approaches to remain both resilient and agile. The following strategic trends are emerging across the industry.

AI elevates both risks and efficiency in vendor ecosystems

While artificial intelligence is being explored to enhance vendor screening and continuous monitoring, its integration also raises concerns around cyber risk, regulatory alignment, model transparency, data privacy, and bias. Banks and other institutions are weighing these risks carefully as adoption scales.

Hybrid governance models are becoming standard

Financial institutions are adopting hybrid governance models where centralized teams administer policy frameworks, while business-line owners handle day-to-day risk and vendor engagement. This approach helps maintain consistency while allowing day-to-day engagement with third-party partners to remain agile and context-specific.

Predictive analytics and automation are shaping proactive risk management

Increased investment in predictive analytics tools can help institutions detect early warning signals in vendor behavior, performance, or geopolitical risk. When combined with automation platforms, these tools automatically flag emerging threats and generate compliance-ready documentation, helping institutions shift from reactive to proactive risk postures.

ESG and cloud concentration risk enter the TPRM mainstream

ESG-related vendor accountability and cloud service concentration are gaining visibility as strategic risk factors. Financial institutions are expected to validate whether third-party partners meet environmental, social, and governance standards and to understand the systemic risk of relying on a narrow set of cloud service providers, especially in critical service chains.

Final thoughts

As banks modernize infrastructure, expand into new markets, and pilot AI-driven services, vendor relationships shape everything from compliance posture to customer experience. The risks aren’t confined to cybersecurity or financial health anymore. Financial institutions are expected to assess subcontractors, monitor risk drift, enforce contract terms, and ensure business continuity in real time. 

Only those that treat third-party risk management as a strategic capability—not just a compliance checkbox—will be best positioned to adapt, scale, and earn lasting customer trust. To explore how this approach can be implemented in practice, contact us to discuss how Neontri can reduce your risk exposure.

FAQ

How do automated risk scoring tools help reduce third-party risks in finance?

Automated risk-scoring tools help financial institutions assess vendor exposure by analyzing key indicators such as security, compliance, and performance. Using AI or pre-set rules, they flag issues such as expired certifications or policy gaps and assign dynamic risk scores, enabling early detection and prioritization of high-risk vendors.

What is the best way to manage fourth-party (subcontractor) risks?

Effective fourth-party risk management begins with requiring vendors to disclose and update subcontractor relationships. The Basel Committee advises assessing a vendor’s ability to oversee its own suppliers, and institutions should secure audit rights or reporting obligations that extend beyond direct vendors.