Securing the Digital Frontier: Why AI-Enabled Growth Demands Stronger Cyber Resilience

By Diego Arrabal, Vice President, EEMEA, Check Point Software Technologies 

Artificial intelligence is reshaping cybersecurity in ways that extend far beyond better-written phishing emails. The broader shift is that AI is transforming the speed, scale and accessibility of cyber operations. 

Cybercriminals are using AI across multiple stages of the attack lifecycle, from reconnaissance and social engineering to malware development and automated intrusion workflows. Rather than simply increasing the volume of attacks, AI is lowering barriers to entry, allowing less-skilled actors to execute increasingly sophisticated campaigns while enabling advanced threat groups to operate faster and at greater scale. 

Check Point’s 2026 Cyber Security Report found that organisations faced an average of 1,968 cyberattacks per week in 2025, a 70% increase since 2023. Its AI Security Report 2026 further highlights how AI-driven capabilities are becoming embedded across the attack lifecycle rather than remaining experimental. 

For organisations investing heavily in AI, cloud services, digital government, smart cities and next-generation digital infrastructure, cybersecurity is becoming a fundamental business requirement. As digital ecosystems expand, maintaining trust, resilience and operational continuity becomes increasingly important. 

One of the most significant changes is in social engineering. AI-generated messages are now more convincing, personalised and context-aware, making traditional warning signs such as poor grammar or generic language far less effective. The risk also extends beyond email to browsers, collaboration platforms, SaaS applications, messaging tools and voice channels. 

Deepfakes add another layer of risk. AI-generated audio and video make impersonation attempts increasingly realistic, raising concerns around executive fraud, account recovery scams and the manipulation of employees during time-sensitive business situations. Familiar voices or convincing video interactions should no longer be accepted at face value when money, access privileges or sensitive information are involved. 

AI is also accelerating malware development and helping threat actors improve the efficiency of their operations. At the same time, attackers are increasingly targeting credentials linked to cloud and AI platforms, creating new opportunities for data exposure, fraud and unauthorised access. 

While attackers are leveraging AI to improve efficiency, defenders are applying the same technology to strengthen detection, investigation and response capabilities. AI can analyse large volumes of security data across networks, endpoints, cloud environments and user activity, helping security teams identify risks earlier, prioritise threats and respond more effectively. 

As technology environments become more interconnected, organisations need security approaches that continuously assess risk, identify weaknesses and reduce exposure before vulnerabilities can be exploited. 

For organisations accelerating AI adoption, strong governance is essential. Leaders need visibility into which AI tools are being used, what information is being shared and whether sensitive data may be exposed through unmanaged usage. Attempting to block AI altogether is unlikely to succeed and may encourage shadow AI. A more effective approach is to establish clear policies, oversight and security controls that enable innovation while managing risk. 

Identity protection also requires renewed attention. Multi-factor authentication, least-privilege access, privileged access management and independent transaction verification are becoming increasingly important in a world where impersonation attempts are more credible than ever. 

The digital workspace should be viewed as a single connected environment. Email, browsers, SaaS applications, collaboration platforms and business services are all part of the same security ecosystem. Protecting one area while leaving another exposed creates opportunities for attackers. 

AI applications themselves must also be assessed and secured before deployment. Organisations need to understand how these systems access data, interact with business applications and make decisions. Risks such as prompt injection, data leakage and unsafe automated actions require appropriate safeguards and oversight. 

This is particularly relevant across sectors including government, energy, financial services, healthcare, education, transport, telecommunications and critical infrastructure, especially in rapidly digitising economies such as the UAE and Saudi Arabia. 

As digital economies become increasingly dependent on connected technologies, trust, resilience and availability become strategic requirements rather than purely technical concerns. Cybersecurity is also emerging as an important enabler of sustainable digital transformation by helping organisations reduce disruption, improve operational efficiency and manage increasingly complex technology environments. 

AI is reshaping the cybersecurity conversation because it is closely tied to broader economic and digital transformation agendas. Cybersecurity is no longer simply about protecting IT systems. It is about protecting the trust layer that underpins digital services, connected infrastructure and innovation. 

Organisations that succeed will not be those that avoid AI, but those that embed security and cyber resilience into every stage of its adoption. In the AI era, resilience is no longer just a technical requirement—it is a business imperative.