The OWASP Top 10 for LLM Applications is the most widely referenced framework for understanding these risks. First released in 2023, OWASP updated the list in late 2024 to reflect real-world incidents ...

Agentic AI introduces new security risks. Learn how the OWASP Top 10 Risks for Agentic Applications maps to real mitigations ...

The rapid evolution of AI has moved us beyond simple chatbots into the era of agentic applications, systems that can plan, reason, and act autonomously across multiple steps. From finance and ...

OWASP recently released its top 10 list for large language model (LLM) applications, in an effort to educate the industry on potential security threats to be aware of when deploying and managing LLMs.

Authentication Failures (A07) show the largest gap in the dataset: a 48-percentage-point difference between leaders and the field. Leaders fix at nearly 60%, while the field sits at roughly 12%.

The advent of artificial intelligence (AI) coding tools undoubtedly signifies a new chapter in modern software development. With 63% of organizations currently piloting or deploying AI coding ...

List for 2025 expands on evolving challenges as new sponsorship program enables OWASP Top 10 for LLMs and Generative AI Project to continue its vital work WILMINGTON, Del., Nov. 19, 2024 /PRNewswire/ ...

Sensitive information disclosure via large language models (LLMs) and generative AI has become a more critical risk as AI adoption surges, according to the Open Worldwide Application Security Project ...

The Open Worldwide Application Security Project (OWASP) has earned a reputation as a trusted authority in application security. Its most widely recognised contribution, the OWASP Top 10, serves as a ...