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@article{206486,
        author = {Ms. Nisitha M S and Aswanth K},
        title = {Generative AI and the Evolution of Cybercrime: Emerging Challenges for Crime Prevention},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {2},
        pages = {1747-1750},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206486},
        abstract = {The rapid emergence of Generative Artificial Intelligence (GenAI) has transformed the digital landscape by introducing unprecedented capabilities in content creation, automation, data analysis, and human-computer interaction. While these innovations have significantly contributed to scientific advancement, education, business, and communication, they have simultaneously created new opportunities for cybercriminal activities. Generative AI technologies enable malicious actors to automate sophisticated cyberattacks, generate convincing phishing messages, create deepfake identities, develop social engineering strategies, and enhance malware capabilities. The evolving relationship between artificial intelligence and cybercrime represents a critical challenge for cybersecurity professionals, law enforcement agencies, policymakers, and digital users worldwide. This article examines the growing influence of Generative AI on the evolution of cybercrime and analyses the emerging challenges associated with AI-enabled criminal activities. It explores major areas including AI-generated phishing attacks, deepfake fraud, automated malware development, identity theft, misinformation campaigns, and cyber-enabled financial crimes. The study further evaluates the limitations of existing cybersecurity frameworks in addressing AI-driven threats and discusses the necessity of advanced preventive strategies involving AI-based threat detection, international cooperation, ethical regulation, digital literacy, and responsible AI governance. The article argues that combating AI-enhanced cybercrime requires a balanced approach that recognises both the transformative potential and the security risks of Generative AI. Future crime prevention strategies must integrate technological innovation with legal, ethical, and social frameworks to ensure a secure digital ecosystem.},
        keywords = {Generative Artificial Intelligence, Cybercrime, Cybersecurity, Deepfake Technology, AI-Enabled Attacks, Digital Crime Prevention, Machine Learning, Cyber Threats.},
        month = {July},
        }