Ransomware continues to disrupt organisations at scale, with the latest data showing the threat is intensifying. GuidePoint Security’s Q2 2026 Ransomware and Cyber Threat Report recorded 2,279 publicly reported ransomware victims in the second quarter alone. This is an alarming 7% rise from Q1 and a 43% increase year on year. Over 90 active ransomware groups operated globally during this period, underlining the maturity and scale of the criminal ecosystem businesses now face. [Source: GuidePoint Security Q2 2026 Ransomware and Cyber Threat Report]
Alongside the rise in ransomware, artificial intelligence is now a core productivity tool for cyber criminals. AI enables attackers to automate tasks, accelerate their operations and scale attacks more efficiently. Rather than introducing new forms of attack, AI is helping established criminal groups increase the speed and impact of their campaigns.
For business leaders, the challenge is twofold. While organisations adopt AI to drive productivity and innovation, many lack the governance and security controls needed to protect sensitive data. Meanwhile, attackers are using AI to refine phishing, speed up reconnaissance and process stolen data at scale. This shift demands a proactive, strategic approach to cyber security that balances innovation with resilience.
The ransomware ecosystem has become more organised and sophisticated. Rather than a handful of well-known groups operating independently, organisations now face an interconnected network of ransomware operators, affiliates and specialist criminal services working together through Ransomware-as-a-Service (RaaS) models. This business-like approach lowers the barrier to entry for new attackers while enabling established groups to scale their operations rapidly.
The latest Q2 research identified 90 active ransomware groups, with four leading operators accounting for more than 40% of publicly reported victims. As affiliate programmes continue to expand, businesses are no longer defending against isolated attacks. They are confronting organised criminal enterprises that continuously evolve their tactics, share expertise and increase the speed and scale of their operations.
Healthcare continues to be one of the sectors most heavily targeted by ransomware, but it is far from the only one. Education, manufacturing, professional services and government organisations also remain high on attackers’ target lists because of the critical services they deliver, the sensitive data they hold and the operational disruption a successful attack can cause.
For healthcare providers, ransomware can delay patient treatment, disrupt clinical services and expose highly sensitive medical records. In education, attacks can interrupt teaching, restrict access to learning platforms and compromise student and staff data.
Manufacturing organisations face production downtime, supply chain disruption and significant financial losses when operations grind to a halt. Meanwhile, attacks on professional services firms and government organisations can expose confidential client information, disrupt essential public services and erode trust among customers, citizens and stakeholders.
Regardless of the industry, the consequences of ransomware extend well beyond encrypted files. Business interruption, regulatory scrutiny, financial losses, reputational damage and loss of customer confidence can continue long after systems have been restored.
As ransomware operators become more organised and persistent, organisations must view cyber resilience as a business priority rather than solely an IT concern.
While much of the conversation about AI and cyber security centres on autonomous attacks, most threat actors are using AI to improve their operational efficiency in practical ways.
AI allows criminals to process stolen data faster, identify valuable information for extortion, and craft more convincing phishing emails tailored to specific victims. It also enables multilingual campaigns, letting attackers target organisations across regions without language barriers.
Attackers are using AI to automate reconnaissance, processing public information about organisations, employees and technology environments. This insight helps them build more convincing social engineering campaigns and identify attack paths before they strike.
AI is making established attack techniques faster and more scalable. It is increasing criminal productivity way faster than many organisations could prepare for.
As cyber criminals adopt AI, organisations are also integrating AI technologies at pace.
From generative AI assistants to automated productivity tools, businesses are embedding AI into daily workflows to drive efficiency and innovation. Yet many have not set clear governance on how these tools should be used or what information can be safely shared.
Without the right controls, employees may unintentionally upload sensitive business information, customer data or source code into public AI platforms. Once outside the organisation’s environment, this information is much harder to manage, increasing the risk of exposing valuable intellectual property and confidential data.
This is not a case against adopting AI. The potential to improve business performance is clear. The priority is to implement AI securely, with governance, visibility and clear usage policies that enable value without adding unnecessary cyber risk.
Cyber criminals are using public information to make phishing and social engineering attacks more convincing and targeted. Any unnecessary exposure of business data only increases their opportunities to compromise organisations.
As organisations advance their AI strategies, cyber security and AI governance need to progress in tandem.
As ransomware groups become more organised and efficient, organisations have less time to detect suspicious activity and respond before business operations are disrupted. While preventative controls remain essential, cyber resilience increasingly depends on continuous visibility, rapid detection and a well-rehearsed incident response capability.
This is where Managed Extended Detection and Response (MXDR) can play an important role. By combining continuous monitoring, threat hunting and expert investigation, organisations gain greater visibility across endpoints, identities, cloud environments and Microsoft security technologies. Around-the-clock monitoring, delivered through a CREST-accredited Security Operations Centre (SOC), can help identify and contain threats before they escalate into a major incident.
For organisations using Microsoft security technologies, services such as Microsoft Verified Managed XDR can further strengthen existing investments by extending detection and response capabilities within the Microsoft environment. Combined with continuous optimisation, proactive threat hunting and board-ready reporting, organisations can improve their overall security posture while giving leadership teams greater visibility into evolving cyber risks and progress against their cyber resilience objectives.
Every organisation’s risk profile is unique, but several practical steps can reduce exposure to ransomware and AI-enabled attacks.
Establish AI governance policies. Set out which AI platforms employees can use and what business information must never be entered into public AI services. Clear governance reduces the risk of data exposure and supports responsible AI adoption.
Strengthen identity and access management. Enforce Multi-Factor Authentication, Conditional Access and least-privilege access to reduce credential-based attacks and limit attacker movement.
Improve ransomware detection and response. Continuous monitoring and Managed XDR help identify threats early, reducing the chance for attackers to encrypt systems or steal data.
Protect and regularly test backups. Keep secure, immutable backups and test recovery processes to minimise disruption and support faster recovery after an incident.
Educate employees on evolving threats. Security awareness training should address AI-enhanced phishing, social engineering and data handling risks linked to AI tools.
Monitor AI usage across the organisation. Visibility into approved and unapproved AI applications helps reduce shadow AI, protect sensitive data and support compliance.
Prepare and rehearse an incident response plan. Regular tabletop exercises ensure technical teams, business leaders and partners know their roles during a ransomware incident, reducing confusion when time is critical.
Looking for practical ways to strengthen your ransomware defences? Read our guide, 10 Actionable Steps To Protect Your Business From Ransomware And Cyber Attacks, for clear recommendations to reduce risk and build your organisation’s cyber resilience.
The latest ransomware statistics are proof that cybercrime has become more organised, professional and efficient than ever. AI is accelerating this shift, enabling attackers to work faster, process more data and run more targeted campaigns.
For organisations, the answer is not to avoid AI, but to adopt it responsibly. Strong governance, continuous visibility and resilient security operations are now essential to a modern cyber security strategy.
As ransomware attacks become more sophisticated, it is important to understand where your organisation is most at risk. CyberOne can help you assess your current security posture and strengthen your ability to detect, respond to and recover from cyber threats.
Contact us today to learn more about our services or arrange a consultation.