OWASP 2026 LLM Top 10: “The model will be fooled”
Overview
The OWASP GenAI Security Project has published its 2026 Top 10 list for Large Language Model (LLM) applications, marking a significant shift as it now reflects real-world security incidents. The top two entries, Prompt Injection and Sensitive Information Disclosure, remain unchanged, but the order of the other vulnerabilities has shifted compared to previous years. This new list aims to provide a clearer understanding of the risks associated with LLMs, highlighting how attackers can exploit these systems. By focusing on actual incidents, the OWASP project seeks to better inform developers and organizations about the vulnerabilities they need to address. This initiative underscores the ongoing challenges in securing AI applications and the importance of staying vigilant against evolving threats.
Key Takeaways
- Affected Systems: Large Language Models (LLMs), AI applications, software utilizing LLMs
- Action Required: Organizations should implement security measures against Prompt Injection and Sensitive Information Disclosure, conduct regular security assessments of LLMs, and stay informed on best practices for securing AI applications.
- Timeline: Newly disclosed
Original Article Summary
The OWASP GenAI Security Project has released the 2026 edition of its Top 10 for LLM Applications and, for the first time, the list was influenced by real-world incidents. The two top entries – Prompt Injection and Sensitive Information Disclosure – remained constant, but the order shifted more than in past years below them: The 2025 and 2026 versions of OWASP 2026 LLM Top 10, compared (Source: OWASP) Data enters the list-building process Every prior … More → The post OWASP 2026 LLM Top 10: “The model will be fooled” appeared first on Help Net Security.
Impact
Large Language Models (LLMs), AI applications, software utilizing LLMs
Exploitation Status
The exploitation status is currently unknown. Monitor vendor advisories and security bulletins for updates.
Timeline
Newly disclosed
Remediation
Organizations should implement security measures against Prompt Injection and Sensitive Information Disclosure, conduct regular security assessments of LLMs, and stay informed on best practices for securing AI applications.
Additional Information
This threat intelligence is aggregated from trusted cybersecurity sources. For the most up-to-date information, technical details, and official vendor guidance, please refer to the original article linked below.
Related Topics: This incident relates to Exploit.