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The OWASP Top 10 for LLMs in 2025 addresses significant security challenges arising from the rapid advancement of AI, particularly large language models. This updated list reflects a refined understanding of existing risks and introduces new vulnerabilities identified through real-world exploits. Businesses are urged to prioritize these evolving threats to secure their AI systems effectively.
Key vulnerabilities include prompt injection, sensitive information disclosure, and supply chain risks, each requiring specific mitigation strategies. The article emphasizes the importance of implementing robust security measures, such as input validation and human oversight, to safeguard against these threats. Staying informed about these changes is crucial for organizations leveraging AI technologies.
• OWASP updates its Top 10 list for LLMs to address new security threats.
• Prompt injection and sensitive data risks are highlighted as major vulnerabilities.
Prompt injection vulnerabilities occur when user inputs manipulate an LLM's behavior or output unexpectedly.
This risk involves exposing personal or proprietary data through model outputs, necessitating careful data handling.
RAG enhances LLM performance by integrating external knowledge sources, improving contextual accuracy.
Hugging Face is a platform that provides open-access LLMs, which can heighten supply-chain risks.
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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