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TrustFinance Global Insights
เม.ย. 28, 2026
2 min read
32

Major reinsurer Munich Re and insurer Chubb have released reports concluding that agentic AI will primarily escalate the frequency of cyber attacks. Experts believe the severity of these attacks is less likely to increase in the immediate future.
The reports highlight that insured cyber losses are concentrated in ransomware, data breaches, business email compromise, and distributed denial-of-service attacks. These threats are industry-agnostic, with government, manufacturing, and technology sectors identified as having the highest exposure in 2025. Ransomware tactics have evolved, now often combining data exfiltration with encryption, driven by AI-automated reconnaissance.
The rise of AI-powered attacks is expected to impact multiple insurance coverages. This includes first-party losses from system failure, business interruption, and cyber extortion. The industry also anticipates a rise in third-party claims related to privacy violations and technology errors. Chubb noted that bad actors can use autonomous AI to compromise systems within minutes, significantly shortening the window for human intervention.
Munich Re identifies the next wave of cyber risk as a combination of geopolitical tensions, supply chain vulnerabilities, sophisticated cybercrime, and the proliferation of agentic AI. The technology already enables the creation of convincing deepfakes and fraudulent websites, exponentially expanding the attack surface for social engineering and phishing campaigns.
Q: How will agentic AI primarily affect cyber attacks?
A: Agentic AI is expected to increase the frequency of cyber attacks, such as ransomware and data breaches, rather than their severity in the short term.
Q: Which sectors are most vulnerable to these attacks?
A: Governments, manufacturing companies, and technology firms are projected to face the highest exposure to AI-driven cyber attacks in 2025.
Q: What new capabilities does AI give to cybercriminals?
A: AI allows attackers to automate reconnaissance, generate realistic deepfakes and websites for phishing, and conduct personalized social engineering at a massive scale.
Source: Investing.com

TrustFinance Global Insights
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