Prompt injection, RAG poisoning, and embedding attacks: AMA with OWASP LLM Top 10 co-lead Arshi Chadha (Thursday, Aug 20 at 5 PM)
Source Reddit Cybersecurity
Discussion
This content announces an Ask Me Anything (AMA) session with Arshi Chadha, a leading AI security researcher and co-lead of the OWASP LLM Top 10 project focused on vector and embedding weaknesses. The discussion will cover prompt injection, retrieval-augmented generation (RAG) poisoning, embedding attacks, and other AI system vulnerabilities. It highlights ongoing research and public disclosures related to AI security but does not describe a specific vulnerability or exploit. The event aims to educate and engage the community on AI security challenges and mitigation strategies.
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Arshi Chadha is an AI security researcher who works on how AI systems break: getting models and agents to do things they shouldn't, poisoning the data they retrieve, and turning their own features into attack surface.
She co-leads LLM09 (Vector and Embedding Weaknesses) on the OWASP LLM Top 10 for 2026, and she runs Breaking Models, a Bay Area meetup covering prompt injection, RAG poisoning, embedding attacks, live demos, and walkthroughs of real incidents.
Much of her work comes out of public cases and disclosed vulnerabilities, including EchoLeak and the Amazon Q supply chain compromise.
She is taking questions on prompt injection, RAG poisoning and vector weaknesses, attacking agentic Al, what actually breaks in deployed systems, how the OWASP LLM Top 10 for 2026 came together, and getting into AI security.
She goes live Thursday, Aug 20 from 5 PM to 6 PM PT
Ask your questions here and we’ll get them answered!