Strategic report on AI and AI agents in UK SME cybersecurity. Discover how UK businesses are combating sophisticated scammers and hackers with AI-powered defence solutions, government initiatives, and expert recommendations.
UK SME Strategic Report 2025
AI-generated attacks are now the primary cybersecurity concern for 35% of UK SMEs, surpassing traditional threats. With 43% of UK businesses experiencing cyber breaches and average recovery costs of £7,960 for small businesses, the threat landscape has fundamentally shifted.
However, organisations using AI in security operations see breach costs drop from £3.78 million to £3.11 million, demonstrating clear ROI. Government initiatives like the £16 million Cyber Growth Action Plan and AI Cyber Security Code of Practice provide unprecedented support.
The imperative is clear: SMEs must embrace AI-powered cybersecurity solutions not just as a defensive measure, but as a strategic business advantage in an increasingly digital economy.
The UK Small and Medium-sized Enterprise (SME) sector faces a significant and evolving cyber threat landscape, increasingly amplified by the sophisticated capabilities of Artificial Intelligence (AI) and AI Agents. While traditional attack vectors such as phishing and ransomware remain prevalent, generative AI is transforming these threats, making them more convincing, scalable, and challenging to detect. This report highlights that AI-generated attacks are now the foremost cybersecurity concern for many UK SMEs.
Despite the heightened threat, there is a notable optimism among SMEs regarding AI's defensive potential, with a growing number considering or already adopting AI tools for security. The UK government and national bodies are actively fostering a more resilient cyber environment through comprehensive policy frameworks, significant funding for AI cyber startups, and accessible tools and guidance from entities like the National Cyber Security Centre (NCSC).
However, critical challenges persist, particularly concerning the scarcity of in-house cybersecurity and AI expertise within SMEs, the risks associated with human over-reliance on AI without proper governance, and the often-prohibitive cost of advanced solutions. For UK SMEs to effectively navigate this complex environment, a multi-faceted approach is essential. This includes prioritising foundational cybersecurity measures, strategically investing in AI-powered threat detection and response, cultivating a robust culture of continuous staff training, and leveraging external expertise through managed security services. Establishing clear AI governance and risk frameworks is also paramount to ensure that AI adoption enhances, rather than compromises, an organisation's security posture.
The digital transformation of the UK economy has brought unprecedented opportunities, yet it has simultaneously exposed Small and Medium-sized Enterprises (SMEs) to a dynamic and increasingly sophisticated array of cyber threats. Recent data underscores the persistent vulnerability of this crucial economic segment, with a growing emphasis on the role of Artificial Intelligence (AI) in both perpetrating and defending against these attacks.
Cyber security breaches and attacks remain a significant challenge for UK businesses. Approximately 43% of all UK businesses and 30% of charities reported experiencing some form of cyber security breach or attack in the last 12 months, which translates to an estimated 612,000 UK businesses affected. While this figure represents a slight decrease from 50% in 2024, the impact on affected organisations remains substantial. Within the SME segment, micro-businesses reported a breach rate of 35%, while small businesses faced a 42% incidence rate.
Phishing attacks continue to be the most prevalent and disruptive threat, impacting 85% of businesses and 86% of charities. This enduring prevalence highlights the ongoing effectiveness of social engineering tactics. Ransomware attacks have also seen a concerning surge, doubling over the past year, affecting 1 in 100 businesses compared to less than 1 in 200 previously. A particularly alarming trend is the 1,400% increase in QR code-related scams, known as 'quishing', over the last five years, indicating attackers' adaptation to new communication methods.
The financial repercussions for SMEs are significant. The average cost for micro and small businesses to recover from a serious breach is reported to be £7,960. For those subjected to ransomware, 34% opted to pay the ransom, incurring an average payment of £139,368. Additionally, 20% of SMEs were fined following a cyber incident. These figures underscore that even seemingly minor breaches can lead to substantial financial losses, legal liabilities, and severe damage to reputation and customer trust, potentially threatening business continuity.
The integration of AI into cybercriminal arsenals represents a profound shift in the threat landscape. AI-generated attacks are now identified as the foremost cybersecurity concern for UK SMEs in 2025, with 35% of businesses citing this as their primary worry, surpassing traditional threats like malware, scams, fraud, phishing, and ransomware. This heightened concern reflects a growing awareness of AI's transformative impact on offensive capabilities.
Experts observe that AI primarily acts as an "enabler for existing threats," rather than creating entirely novel attack types. However, this enabling function significantly amplifies the efficacy, scale, and sophistication of conventional cybercriminal tactics. The consequence is a blurring of the lines between what were once considered "commodity" or low-sophistication attacks and highly advanced threats.
AI's enhanced attack capabilities are evident across several fronts:
A significant concern is the lowering of the barrier to entry for cybercrime. The increasing commoditisation of AI-enabled capabilities in both legitimate and illicit markets means that improved tools and techniques are becoming available to a broader spectrum of threat actors, including novice cybercriminals, hackers-for-hire, and hacktivists. This democratisation of sophisticated attack methods poses a systemic risk to businesses of all sizes, particularly those with limited defensive resources.
| Threat Metric | Value (Last 12 Months) | Impact |
|---|---|---|
| Businesses Experiencing Cyber Breach/Attack | 43% (Overall UK Businesses) 35% (Micro Businesses) 42% (Small Businesses) |
~612,000 UK businesses affected |
| Most Prevalent Attack Type | Phishing (85% of businesses) | Highest disruption rate |
| Ransomware Incidents | Doubled (1 in 100 businesses) | 1 in 5 SMEs affected |
| Average Recovery Cost | £7,960 (Micro & Small Businesses) | Significant financial burden |
| Average Ransom Payment | £139,368 (34% of victims paid) | Severe financial impact |
| QR Code Scams ('Quishing') | 1,400% increase (over 5 years) | Emerging threat vector |
| SMEs Concerned about AI-Generated Attacks | 35% (Primary concern) | Surpasses traditional threats |
This data illustrates the current landscape of cyber threats, highlighting the significant prevalence of attacks and their substantial financial impact on UK SMEs. The fact that a significant portion of SMEs are already identifying AI-related threats as their primary concern, while also showing optimism about AI's defensive capabilities, points to a compelling opportunity for AI-driven cybersecurity solutions.
Recognising the escalating cyber threats, particularly those amplified by AI, the UK government and various national bodies have launched a series of strategic initiatives aimed at bolstering the cybersecurity posture of businesses, with a particular focus on supporting SMEs. These efforts span policy development, regulatory frameworks, and direct support programs.
The UK is actively shaping its policy and regulatory environment to address the cybersecurity implications of AI. A cornerstone of this effort is the UK's AI Cyber Security Code of Practice, published on January 31, 2025, by the Department for Science, Innovation and Technology (DSIT) in collaboration with the National Cyber Security Centre (NCSC). This voluntary code establishes baseline cybersecurity principles for AI systems and the organisations that develop and deploy them.
Recent legislative developments also contribute to the evolving regulatory landscape:
The UK government is investing in practical support mechanisms to enhance SME cybersecurity capabilities:
Launched on July 10, 2025, this government-backed scheme offers vital support to innovative UK SMEs. Up to 500 small and medium-sized firms can benefit from funding and expert advice to protect their intellectual property from various security threats, including those posed by state actors and powerful competitors. Participating SMEs contribute £500, with the government covering £2,500 of the cost. The reviews involve site visits by approved experts from the National Protective Security Authority (NPSA) and the NCSC.
The Cyber Growth Action Plan, announced in June 2025, represents a significant investment of up to £16 million aimed at expanding the UK's cyber ecosystem:
The NCSC plays a pivotal role in providing accessible cybersecurity guidance and free tools for businesses of all sizes, including SMEs:
The NCSC offers a suite of free resources designed to help businesses establish basic online protection. These include the "Small Business Guide", the "Cyber Action Plan" for personalised to-do lists, and the "Stop! Think Fraud" initiative for simple online safety advice.
This government-backed certification scheme serves as the UK's minimum baseline cybersecurity standard, specifically designed to protect organisations from approximately 80% of common cyber threats. It focuses on five fundamental security controls: boundary firewalls and internet gateways, secure configuration, user access control, malware protection, and patch management.
The NCSC's ACD program provides free, effective tools aimed at reducing the harm caused by high-volume, commodity cyber attacks. Key services include:
For businesses currently experiencing a live cyber attack, the NCSC provides a 24/7 live cyber reporting line (0300 123 2040) and offers the "Small Business Guide to Response and Recovery" to aid in incident preparation and recovery.
Cyber Resilience Centres: Located across nine regions in the UK, these centres provide free and affordable, high-quality cyber resilience assistance and services specifically tailored for smaller organisations within their locality.
| Initiative | Objective | Key Benefits for SMEs | Status/Timeline |
|---|---|---|---|
| Secure Innovation Security Reviews | Protect intellectual property from security threats, including state actors | Expert advice, bespoke reports, government funding (£2,500 of £3,000 cost), follow-up support | Launched July 10, 2025. Up to 500 firms |
| Cyber Growth Action Plan | Grow UK cyber ecosystem, boost jobs & innovation | Up to £16M in new funding for cyber sector | Announced June 2025 |
| CyberASAP | Commercialise academic cyber research into ventures | £10M additional funding (4 yrs), creation of spin-out companies, attracts investment | Ongoing (8th year), £43M raised by 34 spin-outs |
| Cyber Runway | Support cyber startups & SMEs to scale and access markets | £6M allocated, largest UK cyber accelerator, bootcamps, mentoring, no equity taken | Ongoing, funded by DSIT |
| NCSC Cyber Essentials Scheme | Establish minimum baseline cybersecurity standards | Protects against ~80% of common cyber threats, enhances market competitiveness | Ongoing, certification costs £300-£3,000 |
| NCSC Active Cyber Defence (ACD) | Reduce harm from high-volume commodity cyber attacks at scale | Free tools: Early Warning, Check Your Cyber Security, SERS. Automated, proactive threat detection | Ongoing, ACD 2.0 promises next-gen tools |
This table illustrates the comprehensive nature of the UK government's commitment to cybersecurity, particularly in the context of AI. The initiatives demonstrate a strategic understanding that effective cyber resilience requires a multi-pronged approach encompassing policy, funding, and practical tools. The emphasis on supporting academic research into commercial ventures through CyberASAP and accelerating startups via Cyber Runway signifies a forward-looking strategy to ensure the UK remains at the forefront of AI-driven cybersecurity innovation.
The escalating sophistication of cyber threats, particularly those leveraging AI, has necessitated a parallel evolution in defensive capabilities. AI and AI agents are no longer theoretical concepts in cybersecurity; they are being actively deployed to provide advanced protection for UK businesses, including SMEs.
AI and machine learning (ML) are revolutionising fraud detection and cyber defence by shifting from static, rule-based systems to dynamic models that learn and adapt in real-time. This paradigm shift offers a level of efficiency and accuracy previously unattainable, allowing for proactive risk mitigation.
Key applications of AI in cybersecurity include:
The UK cybersecurity market features a mix of established global players and innovative domestic firms offering AI-driven solutions relevant to SMEs. An analysis indicates approximately 66 firms active and registered in the UK explicitly offer cybersecurity for AI systems as a product or service.
Darktrace is a prominent UK-headquartered leader in AI-driven cybersecurity, utilising advanced machine learning to detect and respond to threats in real-time. Their self-learning technology adapts to an organisation's unique environment, understanding "normal" behaviour to identify unusual activity before it escalates. Darktrace's ActiveAI Security Platform provides proactive cyber resilience across various domains including network, email, cloud, operational technology (OT), identity, and endpoint security.
CrowdStrike is a pioneer in cloud-delivered endpoint protection, using AI to stop breaches in real-time. Their Falcon platform offers comprehensive threat detection, response, and hunting capabilities. CrowdStrike's solutions are adaptable for organisations of all sizes, including small businesses.
BT Business Security offers cybersecurity solutions specifically designed for SMEs, aiming to protect teams, clients, and reputation with affordable and flexible offerings. Their "Complete Cloud Secure" solution uses AI-driven, real-time network reporting to protect cloud-based assets and data.
Abnormal Security's Behavioral AI platform is a leading solution for combating email-borne threats like phishing, social engineering, and account takeovers. It is an "AI-Native Security Platform" that uses AI agents to detect and neutralise attacks, boasting a 90% reduction in phishing attacks for its customers.
Mindgard, this AI cyber firm was recognised as the "most innovative cyber SME" at CyberUK 2025, demonstrating its emerging prominence in the sector. Mindgard specialises in Generative AI (GenAI) for cybersecurity, accelerating threat detection, automating responses, and generating actionable insights. Their GenAI models can identify anomalies faster than traditional systems and offer automated red teaming specifically for Large Language Models (LLMs) and GenAI.
The broader UK cybersecurity landscape includes other significant players offering AI-enhanced solutions:
Several dedicated cybersecurity firms operating in the UK, including Tessian and Mimecast, also offer AI-driven solutions, alongside significant foreign direct investment from firms like Checkmarx, Rapid7, Anomali, and Palo Alto Networks.
| Provider | AI-Powered Offering | Key Benefits for SMEs |
|---|---|---|
| Darktrace | Self-Learning AI, ActiveAI Security Platform (NDR, Email, Cloud, OT, Identity, Endpoint Security) | Real-time autonomous threat detection and response; learns unique environment; stops novel threats (e.g., phishing 13 days earlier) |
| CrowdStrike | AI-driven Falcon platform for cloud-delivered endpoint protection | Real-time breach prevention, comprehensive threat detection, response, and hunting capabilities. Adaptable for small businesses |
| BT Business Security | AI-driven real-time network reporting (Complete Cloud Secure) | Protects cloud assets and data; built-in security for broadband; strengthens "human firewall" via training |
| Abnormal Security | Behavioral AI Platform, AI agents for email security | 90% reduction in phishing attacks; autonomously protects against social engineering and account takeovers |
| Mindgard | Generative AI (GenAI) for cybersecurity, automated red teaming for LLMs/GenAI | Accelerates threat detection, automates responses, generates insights; can detect AI-generated phishing |
| Kaspersky | AI-powered antivirus and endpoint security solutions | Global leader in traditional and advanced malware protection |
| WithSecure (F-Secure) | AI-driven endpoint protection, threat detection, and incident response | Proactive defence against malware, ransomware, and other cyber threats; user-friendly solutions |
| Proofpoint | Advanced analytics and threat intelligence for email security, data protection | Defends against phishing, malware, and insider threats; effective risk detection and mitigation |
| KnowBe4 | Security awareness training platform (AI-enhanced content) | Educates employees on recognising and avoiding cyber threats, reducing human error |
This table provides a snapshot of the diverse AI-driven cybersecurity solutions available to UK SMEs. These offerings underscore a critical development: the market is responding to the escalating threats by providing increasingly sophisticated, yet often user-friendly, tools. The ability of these AI systems to learn, adapt, and automate responses at speeds beyond human capability is fundamentally altering the defensive landscape. For SMEs, which often lack dedicated security teams, the availability of such advanced solutions, particularly those offered as managed services, presents a significant opportunity to access enterprise-grade protection without requiring extensive in-house expertise.
While AI offers transformative potential for enhancing cybersecurity, its adoption by UK SMEs is not without significant challenges. Understanding these hurdles, alongside the strategic advantages AI can unlock, is crucial for effective implementation.
The integration of AI into cybersecurity strategies presents several key obstacles for UK SMEs:
A primary concern identified by UK SMEs themselves is the risk of human deference to AI without proper checks and balances. One-third of SMEs believe this is their biggest risk, even surpassing the exposure of sensitive data (32%) or the creation of new attack vectors (29%). This highlights a critical operational vulnerability: if AI is adopted merely as a "black box" solution, without sufficient understanding of its mechanisms, limitations, or the necessity for human oversight, it can inadvertently become a new point of failure.
A significant barrier to effective AI adoption and overall cybersecurity is the pervasive "lack of in-house skills and resources" within SMEs. This resource constraint often means SMEs lack the technical expertise to implement, fine-tune, and manage complex AI-driven security tools effectively. Furthermore, a substantial 39% of UK SMEs have not provided any cybersecurity training to their staff, leaving a critical gap in human defences against increasingly sophisticated, AI-amplified social engineering attacks.
The rapid pace of AI adoption is "greatly outpacing AI security and governance". A concerning 63% of UK organisations surveyed reported not having AI access controls in place, making their AI models and applications vulnerable to manipulation. This absence of robust AI governance can lead to increased breach costs and greater compromise of sensitive data.
Despite these challenges, AI presents compelling strategic opportunities for UK SMEs to enhance their cyber resilience and foster business growth:
There is growing optimism among SMEs about AI's defensive capabilities, with 44% believing IT teams will benefit more from AI in 2025 than cybercriminals. This positive outlook is supported by tangible evidence: UK organisations extensively using AI and automation in their security operations have seen data breach costs drop significantly, from an average of £3.78 million to £3.11 million per year. This demonstrates a clear return on investment (ROI) for AI in cybersecurity.
Achieving recognised cybersecurity certifications, such as the NCSC's Cyber Essentials, can significantly enhance an SME's market competitiveness. Approximately 69% of businesses report increased competitiveness after obtaining this certification, which also opens doors to new opportunities and demonstrates a commitment to cybersecurity to potential clients.
Given the prevalent shortage of in-house skills and resources, many SMEs are increasingly opting for third-party support through managed cybersecurity solutions. This strategy appears to be yielding positive results, with nearly 90% of SMEs reporting improved cybersecurity positions. Engaging a specialist third party can fast-track AI adoption, de-risk the journey, and ensure alignment with business objectives and regulatory expectations.
The UK is a leading player in the global AI sector, attracting significant investment and characterised by a rapidly growing SME base. Government initiatives like CyberASAP and Cyber Runway are actively fostering AI cybersecurity startups. For SMEs, aligning with this national strategic direction by exploring and adopting AI-driven solutions can contribute to their own growth and resilience, particularly in sectors where the UK holds a competitive advantage, such as financial services and cybersecurity. The increasing adoption rate of AI in the UK small business sector, with 70% of SMEs either using or seriously considering AI tools, indicates a strong demand and a fertile ground for further integration.
| Challenge for SMEs | Description of Challenge | Mitigation Strategy |
|---|---|---|
| Human Deference to AI | Over-reliance on AI without proper checks, balances, or understanding of its limitations (bias, accuracy, explainability) | Implement AI risk frameworks ensuring accountability in AI-driven decisions. Promote continuous learning and ethical guidelines for AI use |
| Exposing Sensitive Data | Risks associated with AI platforms accessing, processing, or storing sensitive data without adequate controls | Implement a Zero Trust security model for strict access controls. Ensure AI systems comply with data privacy regulations using encryption and anonymisation |
| Creating New Attack Vectors | AI implementation can inadvertently introduce new vulnerabilities for cybercriminals to exploit | Regularly conduct security audits and ongoing AI monitoring to detect vulnerabilities. Engage technology partners to de-risk the AI adoption journey |
| Shortage of In-house Skills | Lack of technical expertise to implement, fine-tune, and manage AI-driven security tools | Opt for third-party managed cybersecurity solutions. Invest in continuous staff training and awareness programs (e.g., NCSC's free online training) |
| Lack of Cohesive AI Strategy/Governance | Absence of a unified strategy for AI adoption, leading to "shadow AI" and inconsistent security practices | Develop a clear, cross-company AI adoption strategy. Establish AI governance policies, including regular audits for unsanctioned AI use |
| Cost of Advanced Solutions | High cost of sophisticated AI-driven cybersecurity tools may be prohibitive for many SMEs | Explore government support programs (e.g., Secure Innovation Security Reviews, Cyber Runway). Leverage NCSC's free Active Cyber Defence tools |
This table provides a structured approach for UK SMEs to address the challenges inherent in AI adoption for cybersecurity. The strategies outlined emphasise a balanced approach, combining technological solutions with robust governance and human-centric measures. The fact that SMEs themselves identify "human deference to AI" as a top risk underscores the critical importance of education and oversight alongside technological deployment. By proactively addressing these challenges, SMEs can not only mitigate risks but also transform AI into a powerful asset for strengthening their defences, reducing potential breach costs, and enhancing their overall resilience in an increasingly digital and threat-laden environment.
To effectively combat the evolving threats from scammers and hackers, particularly those amplified by AI, UK SMEs must adopt a proactive and strategic approach to cybersecurity. The following recommendations are designed to provide actionable guidance for decision-makers in this critical sector:
Before investing in advanced AI solutions, SMEs must ensure their fundamental cybersecurity hygiene is robust. This includes implementing the controls outlined in the NCSC's Cyber Essentials scheme, which protects against approximately 80% of common cyber threats. Key elements involve establishing secure boundary firewalls, configuring systems securely, managing user access effectively, deploying robust malware protection, and ensuring timely patch management.
Given the increasing sophistication of AI-generated attacks, investing in AI-driven cybersecurity tools is becoming a necessity. SMEs should seek solutions that offer real-time threat detection, anomaly identification, and automated response capabilities. Prioritise platforms that leverage behavioural AI for advanced phishing and social engineering defence, as these attacks are highly prevalent and increasingly convincing due to generative AI.
Human error remains a significant vulnerability, particularly with AI-enhanced social engineering attacks. SMEs must move beyond one-off training sessions and implement continuous cybersecurity awareness programs for all staff. This includes educating employees on recognising sophisticated phishing attempts (including deepfake "vishing" and 'quishing'), understanding the risks of human deference to AI, and knowing how to report suspicious activity.
For SMEs lacking in-house expertise and resources, partnering with specialist third-party managed security service providers (MSSPs) is a highly effective strategy. These partners can provide access to enterprise-grade AI-powered tools and expertise, manage complex security operations, ensure compliance, and offer continuous monitoring and incident response capabilities.
As AI adoption grows, establishing robust governance is paramount to prevent AI from becoming a new vulnerability. SMEs should develop clear policies for AI use, including access controls, data handling protocols, and ethical guidelines. This involves understanding where AI platforms source and process sensitive data, and ensuring compliance with regulations like the Data (Use and Access) Act 2025, which mandates transparency in AI-driven decisions.
The current landscape of UK SME cybersecurity is defined by a dynamic interplay between escalating AI-powered threats and rapidly evolving AI-driven defensive innovations. The evidence clearly indicates that AI is no longer a distant threat or a niche solution; it is fundamentally reshaping the battleground against scammers and hackers. For UK SMEs, AI has become an indispensable component of a comprehensive cybersecurity strategy.
The proliferation of AI-generated attacks, particularly in areas like phishing and ransomware, has transformed what were once considered "commodity" threats into highly sophisticated and scalable operations. This necessitates a re-evaluation of traditional defensive postures, as AI-enhanced malware and social engineering tactics can bypass conventional security measures with alarming efficiency.
However, the outlook is not solely one of heightened risk. The UK government, through concerted efforts from DSIT, NCSC, Innovate UK, and various accelerator programs, is actively fostering an ecosystem designed to empower SMEs. Initiatives like the Secure Innovation Security Reviews, CyberASAP, and Cyber Runway are channelling funding and expertise into developing cutting-edge AI cybersecurity solutions and supporting their adoption.
The strategic opportunity for UK SMEs lies in embracing AI as a powerful defensive tool. By leveraging AI-powered threat detection, real-time response, and advanced anti-phishing capabilities, businesses can significantly enhance their cyber resilience and demonstrably reduce the financial impact of breaches. The growing optimism among SMEs regarding AI's defensive benefits, supported by evidence of reduced breach costs, underscores the tangible return on investment in these technologies.
Looking ahead, the cyber threat landscape will continue to be shaped by advancements in AI. Attackers will undoubtedly refine their methods, making fully autonomous cyber attacks a potential reality. This will necessitate even more sophisticated AI-driven security solutions that can adapt and respond at machine speed. For UK SMEs, sustained business growth and survival will depend on a proactive and adaptive cybersecurity strategy that integrates foundational measures with intelligent, AI-powered defences.
AI-generated attacks are now the primary cybersecurity concern for 35% of UK SMEs, surpassing traditional threats. With 43% of UK businesses experiencing cyber breaches and average recovery costs of £7,960 for small businesses, the threat landscape has fundamentally shifted.
However, organisations using AI in security operations see breach costs drop from £3.78 million to £3.11 million, demonstrating clear ROI. Government initiatives like the £16 million Cyber Growth Action Plan and AI Cyber Security Code of Practice provide unprecedented support.
The imperative is clear: SMEs must embrace AI-powered cybersecurity solutions not just as a defensive measure, but as a strategic business advantage in an increasingly digital economy.
This comprehensive strategic report was compiled by the TTAI.UK Team through extensive analysis of government publications, industry reports, cybersecurity provider research, and direct consultation with UK SME cybersecurity experts. The research encompasses current threat landscapes, government initiatives, AI-powered defence solutions, and strategic recommendations specifically tailored for the UK SME market in 2025.
Key Sources Include: NCSC publications, DSIT policy documents, CyberASAP and Cyber Runway program data, industry surveys from leading cybersecurity providers, and analysis of 66+ UK-based AI cybersecurity firms.
For practical implementation guidance, explore our comprehensive AI tool reviews and curated top lists featuring the cybersecurity solutions mentioned in this report.
Our dedicated research team specialises in analysing AI trends, government initiatives, and technology adoption patterns across the UK business landscape. We provide evidence-based insights to help UK SMEs navigate the rapidly evolving AI ecosystem.
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