Ensuring the security of large language models (LLM) applications is significant. This is due to the increasing reliance on AI technologies across industries.
In a previous article, Charlotte highlighted that the increasing use of AI raises significant concerns about data privacy and security. A recent survey found that 45% of Americans are very concerned about their data being exploited, breached, or exposed, hence, the OWASP guide for privacy principles on AI systems.
The OWASP Top 10 for Large Language Model Applications report outlines the most critical security risks associated with these models. This helps in providing a comprehensive guide to addressing the associated security concerns.
In the introduction, the authors emphasize that the 2023 report identifies key vulnerabilities. This offers practical guidance for mitigating these risks. It is a vital resource for developers, security professionals, and organizations leveraging AI technologies. The report covers a wide range of topics that are essential for maintaining the integrity and security of LLM applications.
For detailed information and to gain a deeper understanding of these security concerns, download the full report here: OWASP Top 10 for LLMs 2023. Individuals involved in the development, deployment, or management of large language models will find this comprehensive resource useful.
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