Summary
- As large language models (LLMs) are being increasingly used in critical areas, concerns about their security are growing.
- OWASP, the non-profit organization that works to improve software security, has released a report in 2025 highlighting the top ten security risks for LLM applications.
- This article summarizes each of these risks and provides test cases that users can apply to assess the safety of their LLM-powered systems.
- The first test, LLM01, aims to prevent prompt injection, a malicious command that tricks the model into ignoring its original instructions by manipulating the input.
- The second test, LLM02, checks for sensitive information leakage, which may expose internal data such as API keys or training credentials.
- The article urges readers to perform these tests responsibly and ethically within their rights and to use them to improve the security of LLM applications.
This content is exclusively for XSECEPATORS compiles an OWASP Top 10 for LLM applications in 2025, outlining common attack vectors and providing mitigation strategies. The blog is a comprehensive guide for security professionals assessing LLM-powered systems, with a specific focus on preventing prompt injection and sensitive information disclosure.