Part I — Overview
Contents4 numbered sections
Report date: September 27, 2026 Author: AI Security Research Report Sources: OWASP GenAI Security Project, Mindgard, SentinelOne, Cloudflare, Trend Micro, MITRE ATLAS, NIST AI RMF
0.1 About this part
Section titled “0.1 About this part”This part is the top-10 list of security vulnerabilities that face AI systems in 2026, ordered by the OWASP GenAI LLM Top 10. Each of the ten sections below follows the same shape — what the vulnerability is, real-world incidents that prove it, why it matters, and mitigation strategies you can act on.
The list is defensive-first: it describes how these failures happen so that builders, reviewers and security teams can design systems that resist them. Prompt injection has topped the OWASP list since its first release in 2023 and remains fundamentally unsolved.
0.2 How to read this part
Section titled “0.2 How to read this part”- Sections 1–10 are the vulnerabilities themselves, in OWASP severity order.
- Section 11 holds the summary/severity matrix, the frameworks referenced throughout, and the full source list.
- Each section is numbered
x.1–x.4so the table of contents on the right can jump straight to a subsection.
0.3 Severity legend
Section titled “0.3 Severity legend”| Severity | Meaning |
|---|---|
| Critical | Exploitable in production today with severe impact; no fool-proof in-model prevention exists |
| High | High likelihood and significant blast radius; mitigation is architectural |
| Medium-High | Requires specific conditions or privileged context; impact still material |
| Medium | Common but generally lower blast radius; often a cost or correctness issue |