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18.08.25
Phishing attacks, in which cyber-criminals manipulate users into disclosing sensitive information or installing malware through fraudulent communications, have been a persistent cyber-security threat, often resulting in significant financial and reputational damage. Recently, cyber-criminals have begun leveraging artificial intelligence (AI) to power these attacks, making them more convincing and difficult to detect.
As this evolving risk continues to emerge, organisations must stay informed about the latest developments and implement adequate safeguards to mitigate its impact. This article provides an overview of the evolution of phishing in the age of artificial intelligence, describing how this technology is transforming phishing attacks. It also examines the impact of these scams and offers steps organisations can take to safeguard themselves.
Traditional phishing attacks are more generic, prone to errors and contain red flags (e.g. misspellings, incorrect names and grammatical errors) that are relatively easy to spot. AI-powered phishing attacks, on the other hand, are highly personalised, linguistically polished and difficult to differentiate from legitimate communications.
These types of cyber-attacks are also more easily scalable and increasingly targeted. For example, AI-led attacks may use “spear-phishing” schemes, in which fraudulent communications are sent to specific recipients, or business email compromise (BEC) tactics, where cyber-criminals impersonate business leaders (e.g. CEO) by hacking into their account or creating a realistic counterfeit message with an illegitimate request for sensitive information or payment.
AI is changing traditional phishing tactics in several key areas, including:
AI-powered phishing attacks have numerous impacts on organisations. Because AI can increase cyber-criminals’ output volume and enhance the sophistication of their tactics, employees may encounter multiple fraudulent messages on a daily basis. The combination of frequent attempts and convincingly crafted messages may increase the likelihood that an organisation will fall victim to one of these scams.
Once infiltrated, an organisation may suffer significant financial losses through BEC, illegitimate payments or data breaches. It may also face substantial business interruption as the attack is investigated and remediated. Additionally, AI-driven phishing attacks create challenges for IT teams, who must address the expanding attack surface, monitor the use of unapproved hardware or software (“shadow IT”) and manage cyber-risks stemming from a remote or hybrid workforce.
Although AI-powered phishing attacks present new threats and challenges, employers can take several steps to protect themselves:
AI-powered attacks are a growing threat to all organisations, regardless of their size or industry. By being aware of these scams and implementing cyber-security measures to address them, organisations can enhance their cyber-defences and mitigate associated risks.
Contact us today for more information on robust cyber insurance policies.
Information provided by Zywave with a contribution from Lisa Langley, Cert CII, Team Leader Professional Risks, Cox Mahon Ltd.
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This Cyber-risks & Liabilities document is not intended to be exhaustive nor should any discussion or opinions be construed as legal advice. Readers should contact legal counsel or an insurance professional for appropriate advice. © 2025 Zywave, Inc. All rights reserved.