Prompt injection, RAG poisoning, and embedding attacks: AMA with OWASP LLM Top 10 co-lead Arshi Chadha (Thursday, Aug 20 at 5 PM)
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.
AI Analysis
Technical Summary
The announcement promotes an AMA session with Arshi Chadha, an AI security expert specializing in attacks on large language models (LLMs) such as prompt injection, RAG poisoning, and embedding attacks. Chadha co-leads the OWASP LLM Top 10 project for 2026, focusing on vector and embedding weaknesses in AI applications. The session will cover real incidents, live demos, and discussions on how AI systems can be compromised and defended. No specific vulnerability or exploit details are provided in this announcement.
Potential Impact
No direct impact or exploitation is described in the provided information. The content is informational and educational, focusing on raising awareness about AI security threats rather than reporting an active or specific security issue.
Mitigation Recommendations
No mitigation actions are applicable as this is an informational announcement about an upcoming AMA session. For AI security practitioners, staying informed about prompt injection, RAG poisoning, and embedding attacks through such expert discussions may help improve defensive measures.
Prompt injection, RAG poisoning, and embedding attacks: AMA with OWASP LLM Top 10 co-lead Arshi Chadha (Thursday, Aug 20 at 5 PM)
Description
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.
Reddit Discussion
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!
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The announcement promotes an AMA session with Arshi Chadha, an AI security expert specializing in attacks on large language models (LLMs) such as prompt injection, RAG poisoning, and embedding attacks. Chadha co-leads the OWASP LLM Top 10 project for 2026, focusing on vector and embedding weaknesses in AI applications. The session will cover real incidents, live demos, and discussions on how AI systems can be compromised and defended. No specific vulnerability or exploit details are provided in this announcement.
Potential Impact
No direct impact or exploitation is described in the provided information. The content is informational and educational, focusing on raising awareness about AI security threats rather than reporting an active or specific security issue.
Defensive Guidance
No mitigation actions are applicable as this is an informational announcement about an upcoming AMA session. For AI security practitioners, staying informed about prompt injection, RAG poisoning, and embedding attacks through such expert discussions may help improve defensive measures.
Technical Details
- Source Type
- Subreddit
- cybersecurity
- Reddit Score
- 0
- Discussion Level
- minimal
- Content Source
- reddit_link_post
- Post Type
- link
- Domain
- null
- Newsworthiness Assessment
- {"score":27,"reasons":["external_link","established_author","very_recent"],"isNewsworthy":true,"foundNewsworthy":[],"foundNonNewsworthy":[]}
- Has External Source
- true
- Trusted Domain
- false
Threat ID: 6a7f338dbf8831d5394625fa
Added to database: 08/14/2026, 15:26:05 UTC
Last enriched: 08/14/2026, 15:26:17 UTC
Last updated: 08/14/2026, 19:41:11 UTC
Views: 4
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