Top 7 Third-Party Risk Management Challenges for Financial Services

Financial institutions operate in an environment where external partnerships are no longer optional. Whether it’s cloud service providers, payment processors, fintech platforms, or outsourced compliance functions, third parties handle sensitive customer data, facilitate transactions, and support critical operations. However, every external relationship introduces risk. A vendor breach, a supplier’s inadequate controls, or a partner’s non-compliance can cascade into regulatory penalties, reputational damage, and operational disruption for the institution that relied on them.

Third-party risk management in financial services isn’t just about vendor due diligence or annual assessments. It’s about continuously securing sensitive data as it moves between your organisation and external entities, maintaining visibility into how third parties handle that data, and proving to regulators that you’ve exercised appropriate oversight. As regulatory expectations intensify and threat actors increasingly target the weakest link in the supply chain, financial services organisations must address the structural challenges that make third-party risk so difficult to manage.

This article identifies seven specific third-party risk management challenges that security leaders, compliance officers, and IT executives at financial institutions face today. For each challenge, we explain why it matters, what goes wrong in practice, and how organisations can operationalise more effective controls.

Executive Summary

Third-party risk management in financial services is complicated by the scale and sensitivity of external data sharing, the complexity of regulatory compliance obligations, and the difficulty of enforcing controls beyond organisational boundaries. Financial institutions must manage hundreds or thousands of third-party relationships, each involving different types of sensitive data and regulatory requirements. The seven challenges explored in this article include assessing vendor risk management security posture continuously, controlling sensitive data once it leaves the organisation, maintaining audit readiness across fragmented vendor interactions, managing fourth-party and downstream risks, enforcing consistent data handling standards, responding to vendor incidents, and scaling oversight without unsustainable manual effort. Addressing these challenges requires data governance frameworks, technical controls that secure data in motion, automated monitoring, and integration with existing security and compliance workflows.

Key Takeaways

1. Continuous Vendor Monitoring is Essential. Financial institutions must move beyond initial assessments to continuously monitor third-party security postures using automated tools and integrated workflows to detect risks in real-time.
2. Control Data Beyond Boundaries. Sensitive data shared with vendors must be protected with end-to-end encryption and access controls that extend beyond the organization’s perimeter to prevent unauthorized access or proliferation.
3. Audit Readiness Requires Centralization. Maintaining compliance with regulatory expectations demands centralized, immutable records of vendor interactions to ensure quick and accurate responses during audits.
4. Automation Scales Risk Management. Automating third-party risk oversight, from assessments to incident response, allows financial institutions to manage large vendor ecosystems efficiently without unsustainable manual effort.

Challenge 1: Assessing and Monitoring Third-Party Security Posture Continuously

Financial institutions often begin vendor risk management with an initial risk assessment, reviewing questionnaires, certifications, and audit reports before onboarding a new partner. This establishes a baseline, but it doesn’t reflect the reality that security posture changes constantly. A vendor that passed assessment six months ago may have experienced a breach, introduced a new subcontractor, or fallen behind on patching. Without continuous monitoring, the institution makes risk decisions based on outdated information.

The challenge is that continuous monitoring at scale is difficult to operationalise. Organisations can’t manually review every vendor’s security posture quarterly, especially when managing hundreds of relationships. Automated monitoring tools that aggregate threat intelligence and track certifications help, but they provide only an external view. They don’t show how the vendor is actually handling your organisation’s data or what access controls are in place.

Effective continuous monitoring requires both external intelligence and internal visibility. External intelligence includes monitoring for vendor breaches and tracking changes in certifications. Internal visibility means tracking what data is being shared with each vendor, who at the vendor has access, how data is being transmitted, and whether the vendor’s actual behaviour aligns with contractual commitments. Combining these two perspectives allows organisations to identify risk changes quickly and take action before an issue becomes an incident.

Operationally, this means integrating vendor risk data into existing security workflows. When a vendor’s risk score changes, the system should flag the relationship, notify the appropriate stakeholder, and initiate a review. If a vendor experiences a breach, the organisation should immediately identify what data that vendor has access to and what the potential exposure is.

Challenge 2: Controlling Sensitive Data Beyond Organisational Boundaries

One of the most persistent challenges is the loss of control that occurs when sensitive data leaves the organisation. Once a file containing customer account information or personally identifiable information is sent to a vendor, the institution loses direct visibility into how that data is stored, accessed, shared, or deleted. The vendor may use secure systems, but the institution has no way to enforce encryption, monitor access, or revoke permissions if the relationship changes.

This problem is especially acute when data is shared through channels the organisation doesn’t control. Email, file transfer protocol servers, consumer-grade file sharing platforms, and vendor portals each introduce different risks. Some channels lack encryption in transit or at rest. Others don’t provide audit trails. Many allow recipients to forward, download, or copy data without restriction. The result is that sensitive data proliferates beyond the original recipient, often into environments the institution has never assessed.

Financial institutions need technical controls that extend beyond their perimeter. This means using platforms that enforce encryption end to end, apply access controls that travel with the data, and provide visibility into how data is used after it’s shared. It also means moving away from unmanaged channels and consolidating external data sharing onto platforms that offer consistent security controls, audit trails, and policy enforcement.

To enforce consistent protection, organisations should require that all sensitive data shared with third parties is encrypted in transit and at rest, that access is authenticated and logged, and that data loss prevention policies are applied automatically. When an institution shares a file with a vendor, the platform should encrypt the file, require the vendor to authenticate before accessing it, log every access event, and prevent the vendor from forwarding or downloading the file without permission. If the institution needs to revoke access, the platform should enforce that revocation immediately, even if the file has already been delivered.

Operationally, this requires establishing policies that define what data can be shared, through what channels, with what level of protection. These policies should be enforced automatically, so that employees can’t bypass controls by using unapproved tools. The platform should integrate with data classification systems, applying the appropriate level of protection based on the sensitivity of the data being shared.

Challenge 3: Maintaining Audit Readiness Across Fragmented Vendor Interactions

Regulators expect financial institutions to demonstrate that they’ve exercised appropriate oversight of third-party relationships. This includes showing that vendors were properly assessed, that data handling obligations were clearly defined, that the institution monitored compliance, and that incidents were managed appropriately. When regulators request evidence, they expect detailed, immutable records that cover the full lifecycle of the vendor relationship.

The challenge is that vendor interactions are fragmented across multiple systems. Initial assessments may be tracked in a governance, risk, and compliance platform. Contracts are stored in a document management system. Data sharing happens through email or file transfer protocol. Incident response is managed in a security information and event management system or ticketing tool. When an auditor asks to see records related to a specific vendor, the organisation has to pull data from multiple sources, correlate it manually, and hope the records are complete.

Audit readiness requires centralising records related to vendor interactions, ensuring that every data exchange, access event, and policy enforcement action is logged immutably, and mapping those records to the specific regulatory requirements they satisfy. This means creating a unified audit log that shows who shared what data with which vendor, when, under what controls, and with what outcome.

Different vendors are subject to different regulatory obligations depending on the type of data they handle and the services they provide. A payment processor handling card data must comply with PCI DSS. A cloud provider storing customer information is subject to GDPR. The institution must not only comply with these regulations itself but also ensure that its vendors comply.

Mapping vendor data flows to regulatory obligations means identifying what data is being shared, what regulations apply, what specific controls are required, and whether those controls are being enforced. This mapping should be done at the level of individual data flows, not just at the vendor level.

Operationally, this requires integrating compliance mappings into the data sharing platform. When an employee shares a file containing personal data with a vendor, the platform should automatically apply the controls required by the applicable regulation, log the interaction in a way that satisfies audit requirements, and flag any deviations from policy. The audit trail should include metadata that links each data exchange to the specific regulation, control, and vendor it relates to.

Challenge 4: Managing Fourth-Party and Downstream Risks

Financial institutions don’t just face risk from their direct vendors. They also face risk from those vendors’ subcontractors, cloud providers, and service partners. A breach at a fourth party can expose the institution’s data just as easily as a breach at a direct vendor, but the institution often has no contractual relationship with the fourth party and no visibility into its security practices.

This downstream risk is difficult to manage because financial institutions rarely have the leverage or the information needed to assess fourth parties. Contracts with direct vendors may require them to disclose subcontractors and ensure those subcontractors meet certain security standards, but enforcement is inconsistent. Vendors may change subcontractors without notice.

Addressing fourth-party risk requires a combination of contractual controls and technical visibility. Contracts should require vendors to disclose all subcontractors that will have access to the institution’s data, to ensure those subcontractors meet the same security standards, and to notify the institution of any changes. Technical visibility means tracking where data actually flows and identifying when vendors share data further downstream.

Contracts should explicitly require vendors to disclose all subcontractors and service providers that will process, store, or transmit the institution’s data. The contract should also require the vendor to ensure that subcontractors meet the same security, privacy, and compliance standards as the vendor itself. The contract should require the vendor to notify the institution before engaging a new subcontractor, giving the institution an opportunity to assess the risk.

These contractual provisions are only effective if they’re enforced. The institution should track vendor compliance and follow up on notification requirements. Operationally, the institution should also implement technical controls that detect unauthorised data transfers. If a vendor shares the institution’s data with a subcontractor that hasn’t been disclosed or approved, the system should flag the transfer, alert the appropriate stakeholder, and initiate a review.

Challenge 5: Enforcing Consistent Data Handling Standards

Financial institutions work with vendors that operate on different technology stacks, follow different security frameworks, and have different maturity levels. One vendor may be a large, highly regulated cloud provider with sophisticated security controls. Another may be a small fintech startup with limited resources. Enforcing consistent data handling standards across this diverse ecosystem is a persistent challenge.

The problem is that each vendor has its own systems, policies, and procedures. The institution can define requirements in the contract, but it can’t directly enforce how the vendor implements those requirements. If the institution requires encryption, it relies on the vendor to encrypt data. The result is that the institution’s security posture is only as strong as its weakest vendor.

Effective data handling standards require moving some controls into the institution’s own environment, so that they’re enforced before data reaches the vendor. This means encrypting data before it’s shared, applying access controls that the vendor can’t bypass, and maintaining audit trails independently of the vendor’s systems. It also means standardising the channels through which data is shared.

Rather than allowing vendors to use their own file sharing platforms, portals, or email systems, financial institutions should establish standardised secure collaboration channels for all external data sharing. These channels should enforce encryption, authentication, access logging, and data loss prevention consistently, regardless of which vendor is on the receiving end.

Operationally, this means requiring vendors to use the institution’s secure file sharing platform for all data exchanges. The platform should support a variety of use cases, from one-time file transfers to ongoing collaboration, and should integrate with the institution’s identity and access management systems. Vendors should be able to authenticate using single sign-on, and the institution should be able to revoke access immediately if the relationship ends or if the vendor’s risk profile changes.

Challenge 6: Responding to Vendor Incidents

Despite best efforts, vendor incidents will occur. A vendor may experience a ransomware attack, a misconfigured cloud storage bucket may expose data, or an insider may exfiltrate information. When this happens, the financial institution needs to respond quickly to assess the impact, contain the exposure, notify regulators and customers if required, and mitigate further risk.

The challenge is that the institution often learns about vendor incidents too late. Vendors may delay notification, either because they’re still investigating or because they’re reluctant to disclose the breach. Even when vendors notify promptly, they may not have the information the institution needs to assess impact.

Effective incident response requires clear contractual obligations for vendor notification, pre-defined escalation procedures, and technical visibility into what data the vendor has access to. Contracts should require vendors to notify the institution within a specific timeframe, to provide detailed information about the nature and scope of the incident, and to cooperate with the institution’s investigation. Operationally, the institution should maintain an inventory of what data each vendor has access to, so that it can quickly assess exposure when an incident occurs.

When a vendor reports an incident, the institution’s incident response plan team needs to quickly determine what data was exposed, how sensitive that data is, who was affected, and what regulatory obligations are triggered. This requires correlating the vendor’s notification with the institution’s own records of what data was shared. The institution should also coordinate with the vendor to contain the incident. This may involve revoking the vendor’s access to data or retrieving data that was shared but not yet processed.

After containment, the institution needs to conduct a post-incident review to understand what went wrong, whether the vendor met its contractual obligations, and what changes are needed to prevent recurrence. This review should inform updates to the vendor risk assessment and changes to data sharing policies.

Challenge 7: Scaling Oversight Without Unsustainable Manual Effort

Financial institutions may manage hundreds or thousands of vendor relationships. Manually assessing, monitoring, and overseeing each relationship is not sustainable. Security and compliance teams are already stretched thin, and adding more manual tasks doesn’t improve risk management. It just slows down vendor onboarding, creates backlogs, and increases the likelihood that critical risks are missed.

Scaling third-party risk management requires automation. This includes automating vendor assessments by integrating with third-party risk intelligence platforms, automating continuous monitoring by ingesting vendor security feeds, automating policy enforcement by using platforms that apply controls without manual intervention, and automating audit trail generation by capturing and correlating logs across all vendor interactions.

Automation doesn’t eliminate the need for human judgement. It frees up security and compliance teams to focus on high-risk relationships, complex decisions, and strategic initiatives. Low-risk, routine interactions can be handled automatically, with exceptions escalated for review. This approach allows organisations to manage a larger vendor ecosystem without proportionally increasing headcount.

To operationalise automation, third-party risk management platforms should integrate with the institution’s existing security and IT workflows. When a vendor’s risk score changes, the system should create a ticket in the IT service management platform, assign it to the appropriate team, and track resolution. When a high-risk data transfer is attempted, the system should generate an alert in the security information and event management platform and trigger an automated response through a security orchestration, automation, and response platform.

These integrations ensure that third-party risk management isn’t siloed. It’s part of the broader security and compliance programme, with data and workflows flowing seamlessly between systems. This reduces manual handoffs, improves response times, and ensures that risks are addressed consistently.

Operationally, organisations should define clear escalation paths for different types of vendor risks. Low-severity issues can be handled through automated reminders. High-severity issues, such as a vendor breach or a failed audit, should trigger immediate escalation to senior leadership and the incident response team. The system should enforce these escalation paths automatically.

Turning Third-Party Risk Management into a Strategic Advantage

Third-party risk management in financial services is complex, resource-intensive, and consequential. The challenges outlined in this article, assessing vendor posture continuously, controlling data beyond organisational boundaries, maintaining audit readiness, managing downstream risks, enforcing consistent standards, responding to incidents, and scaling oversight, are interconnected. Addressing them requires a combination of governance frameworks, contractual protections, and technical controls that secure and monitor data as it moves between the institution and its vendors.

Organisations that treat third-party risk management as a data privacy and protection problem, rather than purely a vendor assessment problem, can operationalise more effective controls. By centralising external data sharing on platforms that enforce encryption, access controls, and audit logging, financial institutions can extend their security posture beyond their own perimeter. By integrating vendor risk data with security workflows, they can respond faster and more consistently. By automating routine tasks and focusing human effort on high-risk relationships, they can scale oversight without unsustainable manual effort.

The outcome is not just compliance. It’s reduced exposure, faster incident response, greater operational efficiency, and the ability to confidently enter new partnerships without increasing unmanaged risk. Financial institutions that invest in third-party risk management capabilities today will be better positioned to manage the increasingly complex vendor ecosystems that define modern financial services.

Secure Sensitive Data Across Every Third-Party Interaction with the Kiteworks Private Data Network

Managing third-party risk in financial services requires more than vendor assessments and contractual provisions. It requires technical controls that secure sensitive data as it moves between your organisation and external partners, enforce consistent policies across every interaction, and provide the immutable audit trails regulators expect.

The Kiteworks Private Data Network gives financial institutions a unified platform to control, track, and protect all sensitive content shared with third parties. Every file transfer, email, file share, and managed file transfer interaction is encrypted end to end, authenticated, logged, and mapped to regulatory requirements automatically. Kiteworks enforces zero trust security and data-aware controls, ensuring that data is protected based on its sensitivity, regardless of which vendor is on the receiving end. Access can be granted and revoked instantly, even after data has been shared, giving institutions control that extends beyond their perimeter.

Kiteworks integrates with SIEM, SOAR, ITSM, and automation platforms, ensuring that third-party risk data flows into existing security and compliance workflows. When a vendor’s risk profile changes, Kiteworks can automatically adjust access controls, flag the relationship for review, or initiate an incident response workflow. The platform generates immutable audit trails that satisfy regulatory expectations for evidence, correlating every data exchange with the vendor, user, policy, and regulation it relates to.

For security leaders and compliance officers managing complex vendor ecosystems, Kiteworks provides the visibility, control, and automation needed to scale oversight without unsustainable manual effort. To learn more, schedule a custom demo today.