Addressing regulatory findings – what institutions need to change now
The first supervisory findings point to a clear conclusion: DORA compliance is evolving from a framework exercise into an operating model challenge. As regulatory expectations for complete, consistent and scalable third-party oversight increase, leading financial institutions are shifting toward centralized, industrialized TPRM models enabled by automation, data-driven controls, assurance mechanisms for group environments and specialized services.
To effectively ensure the operational resilience of their digital operations against ICT risk, financial institutions need to work on the pain points identified. Key points commonly relate to ICT inventories and interdependencies, including external relationships. These need to be identified and defined as the foundation for effective risk management. Building on that, institutions must close the gaps and put comprehensive business continuity and recovery policies and plans in place, along with testing and incident detection mechanisms, to strengthen their defense capabilities. Once the groundwork has been done, attention can turn to demonstrating resilience and related documentation and reporting requirements. In short, there are three imperatives: Improve underlying processes, improve operations and improve assurance.
Improve processes – increase automation and obtain data-driven control
Many of the weaknesses flagged by supervisors – incomplete inventories, fragmented monitoring and inconsistent evidence – are closely linked to manual processes and fragmented tooling. To address these challenges, institutions are increasingly investing in automation and data-driven control environments.
Leading organizations are adopting workflow tools, AI-driven due diligence questionnaire (DDQ) reviews and automated evidence validation. Organizations are investing in unified, structured data models and underlying data quality to enable better vendor visibility, concentration-risk insights and readiness for automation and AI.
Leveraging appropriate tooling and AI not only helps organizations achieve DORA compliance across all four pillars, but also enhances their operational efficiency, reduces manual effort, team workload and cost as well as fosters a culture of continuous improvement in operational resilience.
Institutions increasingly require:
- Automated asset discovery and dependency mapping, with particular attention placed on critical services, to support completeness, consistency and documentation in relation to ICT risk management (Pillar 1), as well as automated vulnerability and patch management tracking
- Workflow-driven incident classification and reporting, with centralized monitoring dashboards and integrated systems automating escalation processes (Pillar 2)
- Integrated tools for frequent, documented resilience testing (Pillar 3)
- Structured and integrated third-party registers to demonstrate third-party risk management (Pillar 4)
AI- and machine learning-based solutions are likewise beginning to support several of these areas, particularly in analyzing incident patterns, identifying anomalies and automating parts of third-party due diligence or control validation.
By reducing manual effort and improving data quality, automation helps institutions scale resilience processes while simultaneously improving audit readiness and reducing operational costs.
Improve delivery – review operational resilience activities
The growing complexity of ICT environments and supply chains is driving the adoption of more industrialized operating models for key resilience functions. These models combine specialized expertise with standardized processes and technology-enabled workflows. Examples include:
- Centralized TPRM functions coordinating assessments across the organization
- Security operations centers (SOCs) providing continuous monitoring and incident detection
- Automated incident reporting capabilities aligned with regulatory reporting timelines
- Dedicated resilience testing teams responsible for scenario testing and TLPT
- Threat Intelligence teams identifying and monitoring threats that are specific to the institution and its third parties
Such approaches allow institutions to combine specialized expertise with standardized processes and tooling.