How to Protect the Digital Achilles Heel of Military Capability

Tom Burton


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Our demographics and the moral value that we place on life as a society mean that our military must rely on technology to an ever increasing degree in order to exploit its advantages. However, the increased dependence on support from suppliers transforms the supply chain into an extended part of the networked battlespace, and thus its security and resilience has become a critical concern.


Capabilities with a Competitive Advantage also Bring New Vulnerabilities


In general, any new capability that has given our military a competitive edge also brings with it new vulnerabilities. A recent example is the introduction of GPS and other navigation systems. When these became widespread in the 90s, the risk of getting ‘geographically embarrassed’ was reduced, and thus members of the army bought consumer GPS receivers for personal use on exercise and operations. Thus, this capability represented a significant advance, and the joke that ‘the most dangerous thing in the combat zone is an officer with a map’ became less relevant. 


However, skills like map reading need to be learned and practised, and as such the more we rely on technological aids, the more we atrophy muscle memory. How many of us follow phone directions, only to realise we haven’t learned the route and have no feel for the environment we have just travelled through?


This effect is organisational as well as individual. The strive for achieving efficiency through digital transformation has led to fragility, with the loss of capacity and capability when digital services are disrupted. The global IT failure caused by CrowdStrike overnight on the 18-19th July demonstrates this clearly; in just a few hours, a software update crashed 8.5m computers globally, severely disrupting banks, airlines, rail services, healthcare, and other critical services. 


Maintaining full capacity in a reversionary mode is not economically viable once core business processes have been digitally optimised. However, reducing the likelihood and impact of a systemic incident like this requires systems to be designed with resilience from the outset.


Good Cyber and Data Security is about Much More than Preventing Data Leaks


It is natural to assume that maintaining data security is primarily about preventing someone from stealing confidential information. Granted, this has been an important consideration since spies first operated; this is why we classify and compartmentalise information.


However, confidentiality is only a part of the problem. If we look back at the trends over the last decade, many of the most damaging attacks have been ransomware. In these incidents, the attackers deny their victims the ability to access their own information until they pay a fee.


It is also vital to ensure that information is not modified covertly. It is an intriguing aspect of human nature that people frequently assume the information presented on a computer is completely accurate, when they would not have the same trust in information provided by a human. 


When serving, I saw staff officers assume that a unit’s location displayed on a digital map was accurate to within metres and always up to date. They knew, though, that the underlying information had been reported by a human to another human, over the radio, sporadically, and as an approximate six-figure grid reference. That instinctive belief in digital accuracy contrasts with the physical map table, where the information was recognised as inherently vague and out of date.


Protecting the availability of information and preventing its modification is just as important as preventing it from falling into the wrong hands.


Why do we need to care? What is the threat?


What must we protect to preserve our fighting power and freedom of manoeuvre on military operations? How could malicious actors undermine military capability? We first need to step above the world of ‘bits and bytes’ and decide what maligned intents might target us. The following are just a few examples, but they illustrate that the systemic nature of our digital landscape makes the risks far more complex and nuanced than they first appear.


Espionage


Espionage is as old as human conflict. Two and a half thousand years ago, Sun Tzu wrote a whole chapter on the importance of espionage and the use of spies. It is practiced across all contexts from the grand strategic and political levels, down to the compromise of tactical communications and devices. Espionage is also rife across the defence industrial base to gain insight and intellectual property about future weapon systems so that they can be countered and copied


Capability Denial


Even with Mission Command to empower and delegate, any operation relies on the efficient flow of information and commands to exploit opportunities and achieve the desired effects. This makes Command and Control capabilities a ripe target. One hour before Russia launched its full-scale invasion, it attempted to disrupt Ukraine’s C2 capabilities by executing a cyber-attack on the communications company Viasat. Disruption of communications bearers is an obvious approach, but a widespread attack on networked computers would be more complicated to recover from. And, as we realise the vision of an ‘Internet of Military Things’, described recently by the UK Chief of General Staff, by networking all elements of battlefield equipment, digital denial could extend across those platforms, disrupting intelligence, logistics, mobility, and fires.


Subversion & Deception


Subversion and deception are already directed at our personal lives; phishing attacks, spoofed websites, fake news, trolls, and bots all attempt to manipulate the way we think and act. A notable case involved an AI-generated deep-fake of a company CFO on a video conference call, leading to criminals defrauding Arup, a UK Engineering firm, by HK$200m (US$25m)


It may be a while before we see Microsoft Teams in the trenches, but reachback from formation headquarters to the home-base is nothing new. Are we prepared for remote support into theatre, provided by partners and suppliers, being used as a vector to conduct highly realistic live deception and socially engineered attacks like the one Arup experienced?


Degradation of the Moral Component


The moral component – the ability to get people to fight – is the pre-eminent of the three essential elements that make up fighting power according to the UK defence doctrine. Many things would influence it, but a sense of confidence in the security and wellbeing of a soldier’s family at home is a key one. What if the family at home couldn’t access money because the military payroll system had been attacked? How quickly would force motivation and cohesion on operations deteriorate?


What is Being Done, and What More Should We Do?


The UK government has recognised the threats and risks for some time, and it has done a lot to reduce them. Cyber security has been recognised as a fundamental part of national security for over a decade, with the Defence Industrial Sector identified as critical national infrastructure. The Ministry of Defence’s (MOD) recent shift in governance policy to demand that systems are Secure by Design, and that a programme’s Senior Responsible Officer takes ownership and responsibility for risk, is significant progress. 


However, threat and risks are not static. Foreign state hacks, both covert and overt, have risen with geopolitical instability. In the most recent National Cyber Security Centre’s annual review, they specifically described the intensity and pervasive nature of the cyber threat from Russia. Cyber-attacks against our information, digital services, and infrastructure, will be a core component of any hybrid war, not least because of their deniability. We can see this today with attacks that closely correlate with the Kremlin’s interests and motivations, such as the recent attack by Russian hackers on NHS partners in London.


Fragile networks are only as strong as their weakest link. For some time, the defence ‘network’ has spanned the wider defence enterprise, which extends deep into the supply chain. Our need to maintain technological advantage and agility means we will need to source innovation far beyond the traditional Defence OEMs, and we will need to get updates into theatre quickly and frequently. This makes the supplier of a digital ‘widget’ part of the operational network, even if they’re not connected to it. 

So, the extended network is expanding and becoming increasingly operationally critical, and the capabilities and motivations of the geopolitical threats we face are evolving. What was adequate five years ago is unlikely to be sufficient for the next five. There are many steps that can be taken to respond to this change, and the following three focus on resilience in the extended defence network: 


Threat Escalation Contingency Planning


All networks have non-critical capabilities that deliver softer benefits and efficiency. However, every piece of software, network segment, or service presents a part of the surface that can be attacked. When the threat escalates, we can reduce our attack service by pre-emptively switching off non-core services, and further segmenting critical capabilities, all at the expense of efficiency. There is evidence that Ukraine’s resilience in the face of Russian cyber-attacks in 2022 benefitted from this preparation. Preparing and testing these measures takes time and imposing it on suppliers will also have commercial consequences. 


Enhanced Continuous Supplier Assurance


Supplier assurance for cyber risk has been an element of MOD risk management for some time, albeit the tools to facilitate it have been limited since the Octavian Supplier Cyber Protection Service was retired without replacement in 2021. However, when the scope of the networks at risk increases and the threats evolve, we need to change our posture. This will affect the suppliers to focus on, the questions we ask, and the standards we expect. Assurance needs to be flexible and dynamic; threat changes may require targeted or widespread reviews at short notice, with commercial as well as practical implications.


Cyber Stress Testing


The Bank of England introduced its Critical National Infrastructure Banking Supervision and Evaluation Testing (CBEST) in 2014 to assure operational resilience in the UK financial sector. Implementing the Defence equivalent of CBEST would take some significant time and effort to deliver results. However, without this type of activity, there is insufficient objective evidence that risk and resilience are tolerable.


Conclusions


Our demographics and the moral value we place on life as a society mean our military’s ability to deter and, if necessary, defeat a belligerent nation-state, will rely on it exploiting technological advantage. The evolution of conflict in Ukraine also demonstrates that industries will need to be able to deliver digital enhancements to that technology rapidly into theatre to maintain an advantage. But this introduces vulnerabilities well beyond the boundaries of Government departments and their Tier 1 suppliers. If the enemy can exploit these vulnerabilities, the impact would be significantly greater than the equivalent several decades ago.


The increased dependence on agile reachback support from suppliers makes the supply chain an extended part of the networked battlespace, and their security and resilience are critical components of the risk calculus. A lot of progress has been made over the last ten years. But this period has also demonstrated that we should expect a cyber-capable adversarial state to do against us. To prevent and, if necessary, prosecute a war in the future, we need to not just maintain, but significantly enhance our management of risk in the defence supply chain.


To find out more about our Cyber Security services and security philosophy, check out our service page.


To contact Tom Burton and arrange a free consultation, use the form below or email Tom at tburton@cambridgemc.com.


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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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