Generative AI Projects’ Potential Cybersecurity Risks
Have you heard anything about the potential cybersecurity dangers of generative AI projects to businesses? It’s a topic that’s recently made the news. You may be curious if technology and its impact on enterprises interests you.
What are the dangers?
According to a recent report, developers are thrilled about tools like ChatGPT and other Language Learning Models (LLMs). However, most organizations are not well prepared to protect against the vulnerabilities introduced by this new technology.
According to Rezilion research, given that this technology is rapidly being adopted by the open-source community (with over 30,000 GPT-related projects on GitHub alone!), the initial projects being produced are vulnerable. It means that organizations face an increased threat and significant security risk.
Rezilion’s report addresses several significant aspects of generative AI security risk, such as trust boundary risk, data management risk, inherent model risk, and basic security best practices. For example, LLM-based projects were immensely popular with developers.
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This article has been indexed from CySecurity News – Latest Information Security and Hacking Incidents
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