OWASP Top 10 LLM: Ten Vulnerabilities for LLM-Based Applications episode artwork

EPISODE · Nov 30, 2024 · 11 MIN

OWASP Top 10 LLM: Ten Vulnerabilities for LLM-Based Applications

from Andrea Viliotti · host Andrea Viliotti Independent AI Strategy Consultant & Researcher | Author of GDE

The episode summarizes the OWASP Top 10 LLM 2025 report, which identifies the ten main vulnerabilities of applications based on large language models (LLMs). Threats such as prompt injection, sensitive information disclosure, supply chain vulnerabilities, data and model poisoning, improper output handling, excessive model autonomy, system prompt leakage, weaknesses in embeddings and vectors, misinformation, and uncontrolled resource consumption are analyzed. For each vulnerability, the causes, examples, and mitigation strategies are described, emphasizing the importance of a multidimensional security approach that considers technical, strategic, and governance aspects. The referenced podcast provides further insights into the OWASP report.

Episode metadata supplied by the publisher feed · Published Nov 30, 2024

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