EPISODE · Mar 17, 2026 · 7 MIN
OWASP Top 10 Vulnerabilities for Large Language Models
from Steven AI Talk · host Steven
This source outlines the OWASP Top 10 vulnerabilities specifically targeting Large Language Models (LLMs) and AI systems. It highlights critical risks such as prompt injection, where attackers manipulate model instructions, and sensitive information disclosure, which can lead to data breaches. The text also warns against supply chain vulnerabilities and model poisoning, emphasizing that the data and third-party models used to build AI must be rigorously vetted. To combat these threats, the author recommends implementing AI firewalls, enforcing strict access controls, and performing regular penetration testing. Ultimately, the overview serves as a guide for developers to prevent excessive agency and system malfunctions in production environments.
What this episode covers
This source outlines the OWASP Top 10 vulnerabilities specifically targeting Large Language Models (LLMs) and AI systems. It highlights critical risks such as prompt injection, where attackers manipulate model instructions, and sensitive information disclosure, which can lead to data breaches. The text also warns against supply chain vulnerabilities and model poisoning, emphasizing that the data and third-party models used to build AI must be rigorously vetted. To combat these threats, the author recommends implementing AI firewalls, enforcing strict access controls, and performing regular penetration testing. Ultimately, the overview serves as a guide for developers to prevent excessive agency and system malfunctions in production environments.
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OWASP Top 10 Vulnerabilities for Large Language Models
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