AI Social Engineering Tops Cyber Threat Landscape
Artificial intelligence-driven social engineering is projected to become the most significant cybersecurity threat in 2026, according to reports from leading industry association ISACA. The findings from their recently published Tech Trends and Priorities survey reveal that this emerging threat category has surpassed traditional concerns like ransomware for the first time.
The comprehensive survey of 3,000 information technology and cybersecurity professionals found that 63% identified AI-powered social engineering as a major challenge for the coming year. This represents a significant shift in the threat landscape, with organizations now facing increasingly sophisticated attacks that leverage artificial intelligence capabilities.
Traditional Threats Outranked by AI Risks
According to the analysis, AI-driven threats have displaced long-standing cybersecurity concerns that have dominated previous years. While ransomware and extortion attacks remain significant, being cited by 54% of respondents, and supply chain attacks mentioned by 35%, neither matched the concern level for AI-powered social engineering.
The report states that this represents “the first time AI driven social engineering has topped the ISACA report’s findings,” indicating a fundamental shift in how professionals perceive the evolving computer security landscape. This change reflects growing awareness of how malicious actors are weaponizing AI technologies.
Organizational Preparedness Gap
Despite recognizing the threat, most organizations appear underprepared to address AI-related risks. Only 13% of surveyed organizations reported feeling “very prepared” to manage generative AI risks, while half described themselves as “somewhat prepared” and 25% as “not very prepared.”
Sources indicate that “most IT and cybersecurity professionals are still developing governance, policies and training, leaving critical gaps” in their defensive postures. This preparedness deficit comes amid broader industry developments in technology adoption and digital transformation efforts.
Investment and Regulatory Responses
The survey revealed strong recognition of the need for increased investment in AI technologies and security measures. Approximately 62% of respondents identified AI and machine learning as top technology priorities for 2026, suggesting organizations are seeking to both harness AI’s potential while defending against its malicious use.
Analysts suggest that regulatory frameworks are seen as crucial to addressing the preparedness gap. Karen Heslop, ISACA’s VP of content development, noted during a press briefing that regulations, particularly AI safety and security measures, are viewed by professionals as primary tools for improving organizational readiness.
Heslop emphasized that the European Union “leads the way in technology compliance,” including in cybersecurity and AI security domains. She welcomed the EU’s AI Act in principle, noting it could provide clarity for companies operating in the region amid evolving market trends and compliance requirements.
Broader Industry Implications
The findings come as organizations across sectors grapple with the dual challenge of adopting beneficial AI technologies while defending against their malicious application. Social engineering attacks enhanced by AI capabilities represent a particular concern due to their potential for highly personalized and convincing deception campaigns.
This evolving threat landscape intersects with other related innovations in technology and security practices. As organizations navigate these challenges, the role of established frameworks and professional associations like ISACA becomes increasingly important for guidance and best practices.
The cybersecurity community continues to monitor how these developments will influence recent technology deployments and security strategies. Meanwhile, other sectors including entertainment demonstrate different adaptation patterns, as seen in industry developments across various fields.
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