AI/ML , Application security Prompt injection remains top LLM threat, OWASP report finds August 6, 2026 Share By SC Staff (Adobe Stock) Prompt injection attacks continue to present the most dangerous threat from large language models (LLMs), despite the relatively low number of recorded incidents relating to this vector, according to an updated analysis from the Open Worldwide Application Security Project (OWASP). The non-profit foundation published the third version of its community-driven Top 10 for LLM Applications list on Aug. 4, 2026, with prompt injection ranked as the number one security challenge emanating from the use of GenAI tools for the third consecutive year, as first reported by Infosecurity Magazine. Prompt injection, where user input alters an LLM's intended behavior, can lead to harmful content or sensitive data disclosure. While actual reported incidents are low, security practitioners rank it highly due to significant efforts in mitigation. Sensitive information disclosure remains the second-highest threat, exposing confidential data. Excessive agency, enabling damaging actions from LLM outputs, moved to third place. Misinformation, the spread of credible-looking false information, rose to seventh. Unbounded consumption, allowing uncontrolled inferences that can disrupt services or lead to financial loss, moved to sixth place. OWASP recommends designing systems with the assumption that instruction boundaries will be bypassed and constraining LLM actions and outputs to mitigate these risks. Source: Infosecurity Magazine An In-Depth Guide to AI Get essential knowledge and practical strategies to use AI to better your security program. Learn More SC Staff Related Black Hat Agentic anarchy: Why using AI browsers just isn’t worth the risk Paul Wagenseil August 6, 2026 Using an AI browser sounds like a good idea until you realize you've just given it the keys to your online identity. Black Hat Black Hat 2026: OpenAI reveals agents planned ‘collective attacks’ via secret ‘message board’ Laura French August 5, 2026 OpenAI also said its agents exploited a different JFrog Artifactory zero-day weeks before the Hugging Face attack. AI/ML AI agents caught using social engineering in UK security tests Steve Zurier August 5, 2026 UK researchers found AI agents using deceptive tactics to manipulate humans in security tests. Get daily email updates SC Media's daily must-read of the most current and pressing daily news Business Email By clicking the Subscribe button below, you agree to SC Media Terms of Use and Privacy Policy . Subscribe Related Terms Banner Browser Cache Cramming Common Gateway Interface (CGI) Client Cookie DLL Injection Dynamic Link Library You can skip this ad in 5 seconds