NIS2 & DORA Bring Tough Fines & Stricter Reporting Obligations: A Guide for Financial Services

John Madelin


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What are NIS2 & DORA?


Standing for the Network and Information Security Directive, the NIS Directive is an EU Regulation which details a blanket level of cyber security measures required of all Member States and organisations within them, as well as those with or seeking to establish a footprint in Europe. In 2022, the Official Journal of the European Union published their updates to this Directive in NIS2, which made their regulations more stringent while broadening the scope of who it applies to. One of these amendments differentiated between entities deemed ‘important’ and ‘essential’, whereby the latter, which includes Banking and Finance, will be subject to closer scrutiny and greater penalties regarding their compliance with NIS2 – or lack thereof.


This level of regulated scrutiny will also be heightened by a further EU directive, the Digital Operations Resilience Act (DORA). Similar to NIS2, DORA is described as establishing a ‘comprehensive framework for harmonising digital resilience processes and standards’. However, where NIS2 applies to all business entities within the EU, DORA is specifically designed to ‘strengthen the resilience of digital operations in the financial sector’. Thus, though accounting for similar processes and practices, as we shall outline, the emergence of both NIS2 and DORA represent at least two sets of cyber criteria which financial entities must comply with, not only to avoid legal penalty, but to remain robust in an increasingly dangerous digital environment.


NIS2 and DORA are scheduled to become national law on the 17th October 2024 and 17th January 2025 respectively, and it is important to understand both in order to ensure that your business is compliant with their requirements.


NIS2 Requirements


Chapter 4 of NIS2 requires that all Member States of the EU ensure that all of their essential and important entities ‘take appropriate and proportionate technical, operational, and organisational measures to manage the risks posed to the security of network and information systems’. By ‘appropriate and proportionate’, NIS2 directs all such entities to adopt an ‘all-hazards approach’, by which they refer to a baseline set of requirements including:


a. Internal Security Policies: Develop and enforce good essential policies that ensure robust internal security practices.


b. Incident Handling: Establish tested protocols to effectively respond to and manage security incidents.


c. Backup Management & Disaster Recovery: Ensure reliable backup solutions and disaster recovery plans to safeguard data integrity, also ensuring continuity.


d. Supply Chain Security: Maintain mutual responsibilities with partners through clear connections and dependencies to avoid the cascade effect of major incidents.


e. Information Security Maintenance: Ensure the security of your network, including vulnerability handling and disclosure.


f. Ongoing Assessment: Continuously update and monitor information security measures to protect against the ever-changing street smarts of evolving threat actors.


g. Cyber Security Hygiene & Training: Regularly assess and adapt security measures to current threat landscapes, which are often basic and repeated.


h. Cryptography & Encryption: Provide continuous cyber security training promoting best practices among employees, and ensuring Quantum-ready cryptography, a subject of other evolving regulations.


i. Human Resources Security: Implement thorough background checks and enforce security protocols for all personnel.


j. Multi-Factor Authentication: Enhance access control through the use of multi-factor authentication, which is always a feature of successful cyber incidents.


DORA Requirements


DORA is considered a Lex Specialis for financial sector entities, meaning that, where it possesses overlapping or shared regulations and principles with NIS2, DORA takes precedence. Thus, though it is still important to remain aware and informed regarding NIS2 and its requirements, it is more important to be equipped with an acute understanding of DORA.


DORA requires that all financial entities be equipped with an ‘internal governance and control framework’ designed to strengthen their cyber defences, particularly in regards to the transfer of data, risk of corruption, confidentiality and loss of data, and protection from human error. In order to ensure this, DORA insists upon the implementation of the following processes:


a. An information security policy with clearly defined rules to protect the availability, authenticity, integrity, and confidentiality of data.

 

b. A sound infrastructure management structure which makes use of appropriate techniques and mechanisms, such as those which isolate affected assets in the event of a cyber attack.

 

c. Policies which limit the physical access to information assets and ICT assets to what is legitimate and approved.

 

d. Protocols for strong authentication mechanisms based on relevant standards and systems, including the use of encryption.

 

e. Controls for ICT change management in order to ensure that any changes are recorded, tested, assessed, approved, and verified.

 

f. Appropriate policies for patches and updates.


Implications for the Finance Sector


Both NIS2 and DORA may appear to establish relatively basic levels of cyber security awareness and defence, however it is important that they are properly implemented and strengthened within your operations.


This is partly due to the financial and reputational losses that can and will impact your organisation in the event of a cyber security breach. In considering financial entities to be essential, NIS2 makes them liable to a fine of up to €10m or 2% of their annual turnover, whichever is higher. Similarly, DORA penalises any instance of non-compliance with a daily fine of up to 1% of the average daily worldwide turnover of the financial entity until compliance is reimposed.


Furthermore, the reporting obligations of both Acts pose significant and specific considerations to financial entities, based on how and when an organisation should bring awareness to a potential or recent cyber security breach. 


  • DORA’s Article 10: Detection imposes that financial entities shall ‘have in place mechanisms to promptly detect anomalous activities’, and expands the reporting process in Article 17: ICT-related incident management process to ensure that ‘major’ cyber security incidents are reported to the appropriate management bodies in order to enact mitigation and prevention procedures.

 

  • Similarly, NIS2’s Article 23: Reporting Obligations requires that all essential and important entities promptly identify and report any ‘significant’ cyber security breach or incident to their representative computer security incident response teams (CSIRTs).


There are two main indicators which make an incident ‘significant’ under NIS2: one is that it has affected or caused damage to other entities or persons; the second is that ‘it has caused or is capable of causing severe […] financial loss for the entity concerned’. This is particularly emphatic for organisations which by nature and definition handle and advertise the possession of large amounts of money, a consideration which DORA highlights as an Act specific to the financial sector.


In their classifications of ICT-related incidents which financial entities should use to determine their impact, DORA specifies ‘the criticality of services affects, including the financial entity’s transactions’ as well as ‘the economic impact, in particular direct and indirect costs and losses’. Thus, it is crucial for financial organisations to ensure that their operations are properly barricaded against cyber threats, and that they have airtight contingencies and reporting protocols in place in case they are breached.


Finally, it is important to internalise clear accountability within your organisation. NIS2 makes it clear that the responsibility for the approval, delivery, and maintenance of an essential entity’s cyber security risk-management measure rests with the management bodies of the entity. This includes coordinating cyber security training and the provision of ‘sufficient knowledge and skills to enable them to identify risks and assess cybersecurity risk-management practices’. DORA is even clearer in this regard, specifying that the management body of the financial entity shall ‘bear the ultimate responsibility for managing the financial entity’s ICT risk’. Thus, the stakes are higher for executives and C-suite professionals to ensure compliance, as they will be the ones held accountable for breaches and attacks.

 

How Cambridge MC can Help


Whether your company is based primarily inside or outside the EU, it is crucial that your organisation complies with NIS2 and DORA by the end of the year if you have any entities or subsidiaries, or currently/plan to conduct work in any EU Member States. In any case, NIS2 and DORA represent aspirational sets of guidelines pertaining to the cyber hygiene of your organisation that would only strengthen it to internalise.



This is particularly salient in a regulatory culture which is increasingly prioritising and scrutinising cyber security. As of April this year, the UK Government implemented minimum security standards to protect consumers and businesses from cyber attacks. These include the banning of easily guessable default passwords; regulations which, like NIS2 and DORA, are seemingly basic yet possess higher stakes for non-compliance.


At Cambridge Management Consulting, we have a team of experienced Cyber Security professionals with decades of combined practical experience in the field, as well as detailed and up-to-date knowledge on all relevant regulations and principles.


To avoid your organisation from being left behind or penalised for a lack of cyber maturity, contact our cyber team to understand your pain points and vulnerabilities—we will work with you to construct, assess, and deliver a comprehensive strategy to resolve them.


Contact John Madelin, our Managing Partner for Cyber Security, or learn more about our Cyber Security capability here.


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by Darren Sheppard 4 December 2025
What is the Contract Lifecycle Management and Why does it Matter? The future success of your business depends on realising the value that’s captured in its contracts. From vendor agreements to employee documents, everywhere you look are commitments that need to be met for your business to succeed. The type of contract and the nature of goods or services it covers will determine what sort of management activities might be needed at each stage. How your company is organised will also determine which departments or individuals are responsible for what activities at each stage. Contract Lifecycle Management, from a buyer's perspective, is the process of defining and designing the actual activities needed in each stage for any specific contract, allocating ownership of the activities to individuals or groups, and monitoring the performance of those activities as the contract progresses through its lifecycle. The ultimate aim is to minimise surprises, ensure the contracted goods or services are delivered by the vendor in accordance with the contract, and realise the expected business benefits and value for money. The Problem of Redundant Spend in Contracts Despite the built-in imbalance of information favoring suppliers, companies still choose to oversee these vendors internally. However, many adopt a reactive, unstructured approach to supplier management and struggle to bridge the gap between contractual expectations and actual performance. Currently, where governance exists, it is often understaffed, with weak, missing, or poorly enforced processes. The focus is primarily on manual data collection, validation, and basic retrospective reporting of supplier performance, rather than on proactively managing risk, relationships, and overall performance. The amount of redundant spend in contracts can vary widely depending on the industry, the complexity of the contracts, and how rigorously they are managed. For further information on this, Cambridge MC’s case studies provide insights into typical ranges and common sources of redundant spend. As a general estimate, industry analysts often state that redundant spend can account for as much as 20% of total contract value. In some cases, especially in poorly managed contracts, this can be much higher. What is AI-driven Contract Management? Artificial Intelligence (AI) is redefining contract management, transforming a historically time-consuming and manual process into a streamlined, efficient, and intelligent operation. Traditionally, managing contracts required legal teams to navigate through extensive paperwork, drafting, reviewing, and monitoring agreements — a process prone to inefficiencies and human error. With the emergence of artificial intelligence, particularly generative AI and natural language processing (NLP), this area of operations is undergoing a paradigm shift. This step change is not without concerns however, as there are the inevitable risks of AI hallucinations, training data biases and the threat to jobs. AI-driven contract management solutions not only automate repetitive tasks but also uncover valuable insights locked up in contract data, improving compliance and reducing the risks that are often lost in reams paperwork and contract clauses. Put simply, AI can automate, analyse, and optimise every aspect of your contract lifecycle. From drafting and negotiation to approval, storage, and tracking, AI-powered platforms enhance precision and speed across these processes; in some cases reducing work that might take several days to minutes or hours. By discerning patterns and identifying key terms, conditions, and concepts within agreements, AI enables businesses to parse complex contracts with ease and efficiency. In theory, this empowers your legal and contract teams (rather than reducing them), allowing personnel to focus on high-level tasks such as strategy rather than minutiae. However, it is important to recognise that none of the solutions available in the marketplace today offer companies an integrated supplier management solution, combining a comprehensive software platform, capable of advanced analytics, with a managed service. Cambridge Management Consulting is one of only a few consultancies that offers fully integrated Contract Management as a Service (CMaaS). Benefits of Integrating AI into your Contract Lifecycle Management Cambridge MC’s Contract Management as a Service (CMaaS) 360-degree Visibility: Enable your business to gain 360-degree visibility into contracts and streamline the change management process. Real-time Data: Gain real-time performance data and granularly compare it against contractually obligated outcomes. More Control: Take control of your contracts and associated relationships with an integrated, centralised platform. Advanced meta data searches provide specific information on external risk elements, and qualitative and quantitative insights into performance. Reduces Costs: By automating manual processes, businesses can significantly reduce administrative costs associated with contract management. AI-based solutions eliminate inefficiencies in the contract lifecycle while minimising reliance on external legal counsel for routine tasks. Supplier Collaboration: Proactively drive supplier collaboration and take a data-driven approach towards managing relationships and governance process health. Enhanced Compliance: AI tools ensure that contracts adhere to internal policies and external regulations by flagging non-compliant clauses during the drafting or review stage. This proactive approach reduces the risk of costly disputes or penalties. Reduces Human Errors: In traditional contract management processes, human errors can lead to missed deadlines and hidden risks. AI-powered systems use natural language processing to identify inconsistencies or inaccuracies in contracts before they escalate into larger issues. Automates Repetitive Tasks: AI-powered tools automate time-consuming tasks such as drafting contracts, reviewing documents for errors, and extracting key terms. This frees up legal teams to focus on higher-value activities like strategic negotiations and risk assessment. We can accurately model and connect commercial information across end-to-end processes and execution systems. AI capabilities then derive and apply automated commercial intelligence (from thousands of commercial experts using those systems) to error-proof complex tasks such as searching for hidden contract risks, determining SLA calculations and performing invoice matching/approvals directly against best-in-class criteria. Contract management teams using AI tools reported an annual savings rate that is 37% higher than peers. Spending and tracking rebates, delivery terms and volume discounts can ensure that all of the savings negotiated in a sourcing cycle are based on our experience of managing complex contracts for a wide variety of customers. Our Contract Management as a Service, underpinned by AI software tooling, has already delivered tangible benefits and proven success. 8 Steps to Transition Your Organisation to AI Contract Management Implementing AI-driven contract management requires a thoughtful and structured approach to ensure seamless integration and long-term success. By following these key steps your organisation can avoid delays and costly setbacks. Step 1 Digitise Contracts and Centralise in the Cloud: Begin by converting all existing contracts into a digital format and storing them in a secure, centralised, cloud-based repository. This ensures contracts are accessible, organised, and easier to manage. A cloud-based system also facilitates real-time collaboration and allows AI to extract data from various file formats, such as PDFs and OCR-scanned images, with ease. Search for and retrieve contracts using a variety of advanced search features such as full text search, Boolean, regex, fuzzy, and more. Monitor upcoming renewal and expiration events with configurable alerts, notifications, and calendar entries. Streamline contract change management with robust version control and automatically refresh updated metadata and affected obligations. Step 2 Choose the Right AI-Powered Contract Management Software: Selecting the right software is a critical step in setting up your management system. Evaluate platforms based on their ability to meet your organisation’s unique contracting needs. Consider key factors such as data privacy and security, integration with existing systems, ease of implementation, and the accuracy of AI-generated outputs. A well-chosen platform will streamline workflows while ensuring compliance and scalability. Step 3 Understand How AI Analyses Contracts: To make the most of AI, it’s essential to understand how it processes contract data. AI systems use Natural Language Processing (NLP) to interpret and extract meaning from human-readable contract terms, while Machine Learning (ML) enables the system to continuously improve its accuracy through experience. These combined technologies allow AI to identify key clauses, conditions, and obligations, as well as extract critical data like dates, parties, and legal provisions. Training your team on these capabilities will help them to understand the system and diagnose inconsistencies. Step 4 Maintain Oversight and Validate AI Outputs: While AI can automate repetitive tasks and significantly reduce manual effort, human oversight is indispensable. Implement a thorough process for spot-checking AI-generated outputs to ensure accuracy, compliance, and alignment with organisational standards. Legal teams should review contracts processed by AI to verify the integrity of agreements and minimise risks. This collaborative approach between AI and human contract management expertise ensures confidence in the system. Step 5 Refine the Data Pool for Better Results: The quality of AI’s analysis depends heavily on the data it is trained on. Regularly refine and update your data pool by incorporating industry-relevant contract examples and removing errors or inconsistencies. A well-maintained data set enhances the precision of AI outputs, enabling the system to adapt to evolving business needs and legal standards. Step 6 Establish Frameworks for Ongoing AI Management: To ensure long-term success, set clear objectives and measurable goals for your AI contract management system. Define key performance indicators (KPIs) to track progress and prioritise features that align with your organisation’s specific requirements. Establish workflows and governance frameworks to guide the use of AI tools, ensuring consistency and accountability in contract management processes. Step 7 Train and Empower Your Teams: Equip your teams with the skills and knowledge they need to use AI tools effectively. Conduct hands-on training sessions to familiarise users with the platform’s features and functionalities. Create a feedback loop to gather insights from your team, allowing for continuous improvement of the system. Avoid change resistance by using change management methodologies, as this will foster trust in the technology and drive successful adoption. Step 8 Ensure Ethical and Secure Use of AI: Tools Promote transparency and integrity in the use of AI-driven contract management. Legal teams should have the ability to filter sensitive information, secure data within private cloud environments, and trace data back to its source when needed. By prioritising data security and ethical AI practices, organisations can build trust and mitigate potential risks. With the right tools, training, and oversight, AI can become a powerful ally in achieving operational excellence as well as reducing costs and risk. Overcoming the Technical & Human Challenges While the benefits are compelling, implementing AI in contract management comes with some unique challenges which need to be managed by your leadership and contract teams: Data Security Concerns: Uploading sensitive contracts to cloud-based platforms risks data breaches and phishing attacks. Integration Complexities: Incorporating AI tools into existing systems requires careful planning to avoid disruptions and downtime. Change Fatigue & Resistance: Training employees to use new technologies can be time-intensive and costly. There is a natural resistance to change, the dynamics of which are often overlooked and ignored, even though these risks are often a major cause of project failure. Reliance on Generic Models: Off-the-shelf AI models may not fully align with your needs without detailed customisation. To address these challenges, businesses should partner with experienced providers who specialise in delivering tailored AI-driven solutions for contract lifecycle management. Case Study 1: The CRM That Nobody Used A mid-sized company invests £50,000 in a cutting-edge Customer Relationship Management (CRM) system, hoping to streamline customer interactions, automate follow-ups, and boost sales performance. The leadership expects this software to increase efficiency and revenue. However, after six months: Sales teams continue using spreadsheets because they find the CRM complicated. Managers struggle to generate reports because the system wasn’t set up properly. Customer data is inconsistent, leading to missed opportunities. The Result: The software becomes an expensive shelf-ware — a wasted investment that adds no value because the employees never fully adopted it. Case Study 2: Using Contract Management Experts to Set Up, Customise and Provide Training If the previous company had invested in professional services alongside the software, the outcome would have been very different. A team of CMaaS experts would: Train employees to ensure adoption and confidence in using the system. Customise the software to fit business needs, eliminating frustrations. Provide ongoing support, so issues don’t lead to abandonment. Generate workflows and governance for upward communication and visibility of adherence. The Result: A fully customised CRM that significantly improves the Contract Management lifecycle, leading to: more efficient workflows, more time for the contract team to spend on higher value work, automated tasks and event notifications, and real-time analytics. With full utilisation and efficiency, the software delivers real ROI, making it a strategic investment instead of a sunk cost. Summary AI is reshaping the way organisations approach contract lifecycle management by automating processes, enhancing compliance, reducing risks, and improving visibility into contractual obligations. From data extraction to risk analysis, AI-powered tools are empowering legal teams with actionable insights while driving operational efficiency. However, successful implementation requires overcoming challenges such as data security concerns and integration complexities. By choosing the right solutions, tailored to their needs — and partnering with experts like Cambridge Management Consulting — businesses can overcome the challenges and unlock the full potential of AI-based contract management. A Summary of Key Benefits Manage the entire lifecycle of supplier management on a single integrated platform Stop value leakage: as much as 20% of Annual Contract Value (ACV) Reduce on-going governance and application support and maintenance expenses by up to 60% Deliver a higher level of service to your end-user community. Speed without compromise: accomplish more in less time with automation capabilities Smarter contracts allow you to leverage analytics while you negotiate Manage and reduce risk at every step of the contract lifecycle Up to 90% reduction in creating first drafts Reduction in CLM costs and extraction costs How we Can Help Cambridge Management Consulting stands at the forefront of delivering innovative AI-powered solutions for contract lifecycle management. With specialised teams in both AI and Contract Management, we are well-placed to design and manage your transition with minimal disruption to operations. We have already worked with many public and private organisations, during due diligence, deal negotiation, TSAs, and exit phases; rescuing millions in contract management issues. Use the contact form below to send your queries to Darren Sheppard , Senior Partner for Contract Management. Go to our Contract Management Service Page
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