Artificial intelligence is set to dominate cybersecurity concerns in the coming year, with 94% of experts identifying AI-related technologies—such as generative models, agentic systems, malicious AI use, and AI-driven threat detection—as having the greatest impact. This overwhelming consensus reflects growing anxiety over AI’s dual role in both defending and attacking digital infrastructure.
Cloud technologies follow at 61%, underscoring the risks tied to expanding reliance on cloud-based systems. As more organisations migrate to cloud platforms, vulnerabilities in configuration, access control, and data protection become critical targets for cyber threats.
Quantum technologies rank third at 37%, driven by concerns over encryption disruption and the potential for quantum computing to break current security protocols. Though still emerging, their long-term implications are profound.
Autonomous systems and robotics register 26%, highlighting risks in machine-led operations, especially in industrial and defence sectors.
Decentralised technologies, including blockchain and secure multi-party computation, are noted by 20% of respondents, suggesting cautious optimism about their potential to enhance security while acknowledging their complexity and misuse risks.
Space technologies, such as satellite communications and GPS, are flagged by 9%, reflecting niche but growing vulnerabilities in orbital infrastructure. Other disruptive technologies trail at 3%, indicating limited but notable concern.
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