Explore the impact of OpenAI's ChatGPT on cybersecurity in 2024. Learn how generative AI is shaping the cyber threat landscape and its potential for defenders.
With OpenAI's ChatGPT, initiating discussions on the societal impact of generative AI. Large language models (LLMs) like ChatGPT have significantly impacted cybersecurity, particularly in social engineering campaigns and malware creation by threat actors. Despite concerns, generative AI presents opportunities for augmenting defenders' capabilities. Industry experts assessed the changes brought about by LLM chatbots and generative AI in the cyber threat landscape in 2023.
The main utilization of LLMs by cybercriminals has been observed in social engineering campaigns, especially in crafting phishing emails across various languages. However, their impact on areas like malware development has been limited due to practical issues, hallucinations, and limitations in understanding certain languages. Organizations have adopted generative AI at a rapid pace, with LLMs contributing to capabilities like secure code creation and efficient report generation. The democratization of technology has made generative AI a priority at the board level, driven by increased customer awareness.
However, challenges related to data privacy and accidental data leaks have emerged, leading to the necessity of transparency and accountability policies. Companies are advised to educate staff on appropriate AI model usage and recruit individuals with AI training skills. The future trends suggest that while attackers may not revolutionize attacks with generative AI, they will enhance the speed and scale of attacks. Social engineering attacks, facilitated by LLMs, are expected to evolve, creating sophisticated fake social media profiles. On the defensive side, the potential of generative AI lies in hyper-automating investigation and response. Experts hope for increased AI regulation and transparency in the coming years, with the EU's AI Act serving as a key regulatory influence.
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