DORA and the AI Act are closer than most banks realise

# DORA and the AI Act are closer than most banks realise

In January 2025, DORA will take effect, reshaping how banks manage digital operational resilience. By August 2026, the AI Act will impose additional requirements on high-risk AI systems. Many banks are unprepared for how these regulations intersect.

Understanding DORA: A Brief Overview

The Digital Operational Resilience Act (DORA) becomes effective in January 2025. This regulation marks a significant shift in how financial institutions approach digital operational resilience. At its core, DORA emphasizes robust IT risk management, comprehensive incident reporting, and stringent oversight of third-party service providers.

Key Provisions

DORA mandates financial entities to enhance their IT risk management frameworks. Institutions must identify, assess, and mitigate risks associated with their digital operations. This includes ensuring that IT systems are resilient against cyber threats and operational disruptions. The regulation also requires detailed incident reporting. Financial institutions must document and report significant incidents to relevant authorities promptly, fostering a culture of transparency and accountability.

Additionally, DORA places a strong emphasis on third-party oversight. Financial institutions must conduct thorough due diligence on third-party IT service providers. This includes evaluating their risk management capabilities and ensuring they meet the same resilience standards. By doing so, DORA aims to mitigate risks stemming from dependencies on external vendors.

Impact on Financial Institutions

The implementation of DORA will have far-reaching implications for financial institutions across Europe. Banks and other financial entities will need to invest in upgrading their IT infrastructure to comply with the new requirements. This involves not only technological enhancements but also training staff to effectively manage and respond to digital risks.

Financial institutions will also face increased scrutiny regarding their incident management processes. The emphasis on detailed incident reporting means that banks must have robust mechanisms in place to detect, analyze, and report incidents swiftly. Moreover, the focus on third-party oversight necessitates a reevaluation of existing vendor relationships and contracts.

Overall, DORA sets a new standard for digital operational resilience. By focusing on IT risk management and incident reporting, it aims to protect financial institutions from the growing threats in the digital landscape, ensuring stability and security in the financial sector.

Decoding the EU AI Act

The EU AI Act, effective from August 2026, aims to regulate high-risk AI applications across various sectors. This regulation is crucial for ensuring that AI systems operate under strict transparency, accountability, and human oversight guidelines.

High-Risk AI Categories

The Act categorizes AI systems into different risk levels, with high-risk applications facing the most stringent requirements. High-risk categories include AI used in critical infrastructure, education, employment, and law enforcement. For example, biometric identification systems in public spaces and AI-driven recruitment tools fall under this classification. By designating these categories, the EU aims to mitigate potential harms that might arise from AI technologies that could impact fundamental rights or safety.

Compliance Requirements

To comply with the EU AI Act, organizations must adhere to several key requirements. Transparency is paramount; AI systems must be designed to disclose their nature and purpose. Users should be able to understand how decisions are made. Accountability is enforced through documentation and logging requirements, ensuring that companies maintain detailed records of AI system operations. Human oversight is also mandated, requiring that AI systems have mechanisms for human intervention in decision-making processes. These measures collectively aim to prevent misuse and ensure that AI applications are deployed responsibly.

As the August 2026 deadline approaches, organizations must prepare to integrate these compliance measures into their AI systems. The focus on transparency and accountability will require significant changes in how AI technologies are managed and monitored within businesses.

Overlap Between DORA and the AI Act

The Digital Operational Resilience Act (DORA) and the EU AI Act each introduce stringent requirements for financial institutions. Despite their different focal points, both regulations converge on key areas. Banks must navigate these overlapping requirements to ensure compliance and maintain operational efficiency.

Shared Compliance Areas

Both DORA and the AI Act emphasize the importance of incident reporting. Under DORA, financial institutions must establish mechanisms for reporting and managing IT-related incidents. This ensures resilience against operational disruptions. Similarly, the AI Act mandates reporting for incidents involving high-risk AI systems. This requirement underscores the need for transparency in AI operations, fostering trust and accountability.

Moreover, both regulations stress the necessity of oversight. DORA requires rigorous third-party risk management, ensuring that external service providers adhere to the same standards as the institutions themselves. The AI Act complements this by demanding human oversight of AI systems. This shared focus on oversight ensures that AI technologies operate within ethical and regulatory boundaries.

Challenges in Implementation

Implementing these overlapping requirements presents significant challenges. Financial institutions must integrate their risk management and reporting systems to accommodate both DORA and the AI Act. This integration requires substantial investment in technology and personnel training, as systems must be capable of handling diverse reporting requirements.

Another challenge lies in maintaining transparency while managing high volumes of data. Both regulations necessitate clear documentation and communication with regulatory bodies. This demands robust data governance frameworks, capable of ensuring data integrity and accessibility.

In conclusion, while DORA and the AI Act present distinct challenges, their overlapping requirements also offer an opportunity. By harmonizing compliance efforts, banks can streamline operations and enhance their resilience in the face of evolving regulatory landscapes.

Tools and Strategies for Compliance

Banks navigating the dual regulatory landscape of DORA and the AI Act must adopt efficient tools and strategies to address overlapping compliance requirements. Both regulations emphasize the need for robust governance and transparent reporting. Leveraging integrated platforms and automated solutions can streamline these processes.

Integrated Governance Platforms

An integrated governance platform can centralize compliance efforts, reducing the complexity of managing multiple regulatory demands. These platforms facilitate the alignment of IT risk management, incident reporting, and AI oversight, essential under both DORA and the AI Act. By consolidating governance functions, banks can ensure consistent application of policies across their operations. This not only simplifies the compliance process but also enhances the organization's ability to adapt to regulatory updates.

The use of AI governance platforms is particularly beneficial in managing high-risk AI systems. These platforms offer features that support transparency and accountability, aligning with the AI Act's focus. They enable banks to maintain comprehensive records, conduct regular audits, and ensure human oversight in AI decision-making processes. This integrated approach provides a cohesive framework that meets the requirements of both DORA and the AI Act.

Automated Reporting Solutions

Automation in compliance reporting is a critical strategy for banks to efficiently meet regulatory standards. Automated solutions can significantly reduce the manual effort involved in data collection and reporting, allowing compliance teams to focus on analysis and decision-making. By automating incident reporting, banks can swiftly respond to regulatory requirements under DORA, which mandates timely and accurate submission of reports.

Moreover, automated reporting tools can help banks adhere to the AI Act's transparency requirements by providing detailed insights into AI system operations. These tools can generate reports that document AI decision-making processes, ensuring that banks maintain a clear audit trail. This capability is crucial for demonstrating compliance during regulatory reviews and audits.

Incorporating these tools and strategies into their compliance framework allows banks to address the overlapping demands of DORA and the AI Act more effectively. By leveraging technology, banks not only streamline their compliance processes but also enhance their operational resilience and governance capabilities.

Case Studies: Banks Navigating DORA and the AI Act

Case Study 1: Large Bank

A major European bank, with a presence in over 20 countries, has been proactive in aligning its operations with the dual demands of DORA and the AI Act. This institution has developed a comprehensive compliance strategy focused on integrating existing risk management frameworks with new regulatory requirements. Key to their approach is the establishment of a centralized governance team tasked with ensuring consistency across all branches. The bank has invested in training programs for staff, emphasizing the importance of understanding both sets of regulations. By leveraging real-time data analytics, the bank has improved incident reporting and transparency, meeting DORA's requirements while preparing for the AI Act's focus on high-risk applications. Early adoption of these strategies has not only facilitated compliance but also enhanced operational resilience, providing a competitive edge in the market.

Case Study 2: Mid-sized Bank

A mid-sized regional bank, operating primarily in Southern Europe, offers a different perspective on navigating these regulatory landscapes. With fewer resources than larger institutions, this bank has adopted a phased approach to compliance. Initially, it conducted a thorough gap analysis to identify areas needing immediate attention. The bank prioritized the implementation of automated reporting solutions, addressing both DORA's and the AI Act's demands for transparency and accountability. Collaboration with external consultants provided valuable insights into best practices and helped streamline compliance processes. This bank's experience highlights the importance of adaptability and the benefits of learning from early adopters. By focusing on scalable solutions, it has positioned itself to meet the August 2026 deadline efficiently, demonstrating that size does not preclude effective regulatory adaptation.

Future Implications for Banking Operations

The implementation of DORA and the EU AI Act will significantly influence banking operations. These regulations necessitate a shift towards enhanced governance and risk management frameworks.

Long-term Operational Changes

Banks will need to adapt their operational practices to meet the demands of these overlapping regulations. The expected shifts include an increased emphasis on integrating AI systems with existing risk management protocols. As both DORA and the AI Act require detailed incident reporting, banks must develop robust mechanisms for tracking and responding to incidents involving digital systems and AI applications. This shift will likely involve revising existing processes to ensure that all digital operations are resilient and compliant with the new standards.

Further, the integration of AI into banking operations will necessitate ongoing training for staff. Employees must be equipped to handle AI-related tasks and understand the compliance requirements associated with their roles. This will lead to a greater focus on continuous learning and adaptation within the workforce, ensuring that personnel can effectively manage the evolving technological landscape.

Increased Importance of Governance

Governance will play a crucial role in navigating the complexities introduced by DORA and the AI Act. The growing role of AI governance will be evident as banks increase their reliance on AI tools. Establishing comprehensive governance frameworks will be essential in maintaining accountability and transparency across all AI-driven processes. This will involve setting clear guidelines for AI system development, deployment, and monitoring to ensure compliance.

Additionally, banks will need to enhance their oversight functions to align with these regulatory requirements. This could mean strengthening board-level engagement in AI oversight and ensuring that governance structures are robust enough to manage the complexities of AI integration. As AI becomes more embedded in banking operations, the importance of governance will only continue to grow, necessitating a proactive approach to compliance and risk management.

Preparing for August 2026: Steps Banks Should Take Now

Banks must act promptly to navigate the dual compliance landscape of DORA and the AI Act. Proactive measures will ensure readiness by the respective deadlines and help avoid potential regulatory pitfalls.

Immediate Actions

The first priority is strategic planning for compliance. Banks should assess their current systems and identify gaps in compliance with both DORA and the AI Act. This involves conducting a comprehensive audit of existing AI systems and IT risk management processes. Identifying high-risk AI applications is crucial, as these will require enhanced transparency and accountability under the AI Act.

Banks should also establish dedicated compliance teams. These teams should be responsible for monitoring regulatory changes and coordinating efforts across departments. Immediate training programs for staff can raise awareness of new responsibilities and ensure everyone understands the implications of the upcoming regulations.

Long-term Strategies

Developing a comprehensive governance framework is essential for sustained compliance. This framework should integrate both DORA's and the AI Act's requirements, focusing on robust risk management, incident reporting, and human oversight. Leveraging technology like AI governance platforms can streamline these processes, making compliance more manageable and efficient.

Long-term strategies should also include automating compliance reporting. Automated systems can help maintain accurate records and facilitate timely submission of reports to regulatory bodies. These systems should be capable of adapting to evolving regulations and supporting continuous monitoring of compliance status.

In conclusion, by strategically planning and developing a solid governance framework, banks can position themselves to meet the challenges of DORA and the AI Act. While this task is complex, platforms like Velatir offer tools and insights to enhance compliance efforts, ensuring banks not only meet regulatory requirements but also maintain operational resilience.