By: Nicko Cajes; Northern Bukidnon State College, Philippines
Abstract
AI have aid in the evolution of phishing scams allowing cybercriminals to have a more convincing and harder to detect phishing schemes. The generation of more personalized attacks, utilization of deepfake technology, and the automation of scams that was operated in a large scale was being made possible with the use of AI. This article will comprehensively discuss the evolution of phishing scams together with the exploration of AI driven phishing tactics, its risks, and strategies that can be implemented to avoid being a victim of this sophisticated threat.
Introduction
The threat provided by phishing scams have been the problem faced by individuals and organizations. However, with the emergence of technologies like Artificial Intelligence (AI), attack mechanisms and techniques used by the cybercriminals have been more sophisticated, more deceiving, and more difficult to detect [1]. AI has been widely used by cybercriminals now to generate a very convincing high-quality emails, message contents, and fraudulent websites, giving a hard time to traditional security mechanisms to detect them [2]. This article will explore how do AI has transformed phishing attacks, what are the risk it involves, and the strategies that we can implement to be protected against the sophisticated threat it provides.

The Evolution of Phishing Scams
Scams that were done through phishing have significantly evolved compared to what it is in the last few years. Going back, these attacks have relied on email messages that was written in a poorly manner which can be easily identified [3]. However, as cybercriminals gains some experience and techniques, their attempts have gone more advance and improve high quality enabling their attacks to be more challenging to be identified and detected [3]. One of the factors that drives their evolution is the AI, as this was utilized by the attackers to generate messages that was too realistic, copy legitimate sources, and commence large-scale attacks automatically with great precision [2].

How AI Enhances Phishing Attacks
The unique ability of AI to handle various tasks effectively have made them effective and useful to humans. But phishing attackers have also utilized them to advance their attack. The following are the reason how do AI enhances phishing attack.
Personalized and Adoptive Messages: Phishing scams that were driven by AI have the ability to analyze social media profiles, patterns in email, and the data which are publicly available to effectively generate personalized message that will look like more legitimate. Cybercriminals can utilize AI to generate content based on what is the profession of their target, their interest, or the activity they have done in online recently, this will make their scams more relatable and have a higher succession rate [2].
Deepfake and Voice Phishing: The emergence of deepfake technology which is driven by AI have also enable cybercriminals to generate a more realistic audio and video. Attackers have used this technology to effectively impersonate high influencing person to easily convince individuals on transferring their funds or reveal their important information [4]. This type of technique has possessed a critical threat to individuals and businesses due to the huge damage it can provide.
AI Generated Email and Chatbots: Campaigns of Attackers in the modern phishing context have leverage emails that impersonates professional style effectively with the utilization of AI-generated content. The content of this email lacks the error grammatically and the inconsistencies of the messages that can be found in traditional phishing, making them difficult to judge if the email was fraudulent or legitimate. Additionally, chatbots can also be used to engage with the target victim in real-time which can respond to the questions the victim asks and build their trust before proceeding to the disclosing of information [5].

The Risk of AI Powered Phishing Scam
Due to its high sophistication, risks that can be received of being a victim of phishing scam have also been a serious threat. The most common risks involved in this attack are the following.
Financial Losses: Being a victim of a phishing scam involved the risk of losing money, because victims may do the instructions provided by the attacker and will unknowingly shar their money or even disclose their important information like their bank details [6].
Data Breaches: The use of AI-enhanced phishing techniques can have the high possibility of effectively deceiving employees in businesses or companies into giving their login credentials, which will eventually lead to a large scale of data breaches [7].
Reputation Damage: This type of damage can impact highly on organizations that falls prey to an AI-driven phishing attacks, reputational damage can give a huge damage to their operations as it can bring up trust issues for the customer related to reliability of their partner organization [7].
Identity Theft: Phishing scam driven by AI can collect the victim’s personal data, which may lead to identity theft and the worst part is attackers can utilize it to operate on a fraudulent transaction [2].

Strategies to Combat AI Driven Phishing
The high damage of AI-driven phishing provides in addition of its sophistication. Have made huge concerns to individuals and businesses, this enables the development of mitigation strategies which can help in preventing being a victim of this attack.
Advance Email Filtering and AI Security Solutions: This type of strategy is an effective way to prevent AI-driven phishing attacks, by making an investment to security tools powered by AI, attacks can be effectively detected and will block phishing attempts through patterns on user behavior, analysis on content, and verifying the sender [8].
Employee Training and Awareness: Training of the employee about this type of attack can also e a good strategy in preventing being a victim of this attack, with the help of this, employee can gain the fundamental knowledge and can effectively identify various phishing attempts such as verifying the sources and avoiding clicking emails with suspicious embedded links or attachments [9].
Implement Multi-Factor Authentication (MFA): The implementation of MFA is one of the strongest strategies against this problem, with the help of MFA, additional security layer can be integrated to your basic username and password authentication, this will make cybercriminals to have a difficult time in accessing victim accounts even though they already have the primary login credentials [10].
Conclusion
Phishing scams the was done with the utilization of AI have become more deceptive and more harmful, giving a huge threat to individuals as well as businesses. The fact that cybercriminals have enabled their attack techniques to be more sophisticated with the aid of AI, adapting to sophisticated measures in security becomes necessary, which include raising of awareness and be vigilant against the ever-evolving cyber threats. By utilizing robust cyber-security measures, individuals and businesses can lessen the probability of being attacked and become the victim of this illegal activity by cybercriminals, making them more secured in this modern era where cyber-threats like phishing scams become more sophisticated than it was yesterday.
References
- Basit, A., Zafar, M., Liu, X., Javed, A. R., Jalil, Z., & Kifayat, K. (2021). A comprehensive survey of AI-enabled phishing attacks detection techniques. Telecommunication Systems, 76, 139-154.
- Schmitt, M., & Flechais, I. (2024). Digital deception: Generative artificial intelligence in social engineering and phishing. Artificial Intelligence Review, 57(12), 1-23.
- Adejobi, J. A., Carroll, F., Nawaf, L., & Montasari, R. (2021). Phishing, trust and human wellbeing. In International Conferences ICT, Society, and Human Beings 2021 (pp. 53-60).
- Bharati, R. K. (2024). AI-Enhanced Social Engineering: Evolving Tactics in Cyber Fraud and Manipulation. The Academic–International Journal of Multidisciplinary Research (A Peer Reviewed Refereed Online Journal).
- Garg, R. (2023). PREVENTING CYBER ATTACKS USING ARTIFICIAL INTELLIGENCE. i-manager’s Journal on Software Engineering, 18(2).
- Basit, A., Zafar, M., Liu, X., Javed, A. R., Jalil, Z., & Kifayat, K. (2021). A comprehensive survey of AI-enabled phishing attacks detection techniques. Telecommunication Systems, 76, 139-154.
- Guembe, B., Azeta, A., Misra, S., Osamor, V. C., Fernandez-Sanz, L., & Pospelova, V. (2022). The emerging threat of ai-driven cyber attacks: A review. Applied Artificial Intelligence, 36(1), 2037254.
- Jimmy, F. (2021). Emerging threats: The latest cybersecurity risks and the role of artificial intelligence in enhancing cybersecurity defenses. Valley International Journal Digital Library, 564-574.
- Naqvi, B., Perova, K., Farooq, A., Makhdoom, I., Oyedeji, S., & Porras, J. (2023). Mitigation strategies against the phishing attacks: A systematic literature review. Computers & Security, 103387.
- Dine, F. (2024). Enhancing phishing threat detection and resilience: Leveraging machine learning, ai, and user education in cybersecurity.
- Rahaman, M., Pappachan, P., Orozco, S. M., Bansal, S., & Arya, V. (2024). AI Safety and Security. In Challenges in Large Language Model Development and AI Ethics (pp. 354-383). IGI Global.
- Rahaman, M., Bakkireddygari, S. S., Chattopadhyay, S., Gomez, A. L., Arya, V., & Bansal, S. (2024). Infrastructure and Network Security. In Metaverse Security Paradigms (pp. 108-144). IGI Global.
- Navaneeth J. (2024) Exploring Blockchain Solutions for Phishing and Cybersecurity Challenges, Insights2Techinfo, pp.1
Cite As
Cajes N. (2025) Phishing Scams in the Age of AI: More Deceptive than Ever, Insights2Techinfo, pp.1