How Generative AI is Creating New Classes of Security Threats

AI technology is booming, and industries are in a rush to adopt it as quickly as they can. OpenAI’s ChatGPT has seen an unprecedented surge in user adoption, quickly becoming one of the most widely used AI platforms. This surge has also led to the widespread integration of generative AI across various platforms, resulting in a significant transformation within the technology landscape. 

The profound impact of AI technology is actively reshaping the threat landscape, presenting notable implications for security. One concerning trend is the exploitation of AI by malicious individuals to amplify the effectiveness of phishing and fraudulent schemes. 

An alarming incident took place when Meta’s 65-billion parameter language model was leaked, leading to a heightened risk of advanced and sophisticated phishing attacks. Furthermore, the frequency of prompt injection attacks is increasing daily, posing ongoing challenges for security professionals and necessitating proactive defense measures. 

Many users are unknowingly sharing business-sensitive information with AI/ML-based services, creating challenges for security teams in managing and protecting such data. A notable example is when Samsung engineers inadvertently included proprietary code in ChatGPT while seeking assistance for debugging, leading to the unintended exposure of sensitive information. 

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