Webinar – AI Security Testing: Prompt Injection Everywhere

September 25, 202411:00 a.m. - 11:45 a.m. (EDT) | (Online)
Kroll offers a glimpse into the security vulnerabilities faced by businesses adopting Artificial Intelligence (AI), Machine Learning (ML) and Large Language Model (LLM) following eight months of LLM penetration testing.
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Kroll’s LLM penetration testing has seen it analyze data sets of OpenAI models, non-public models and RAG systems. It has used this to produce an anonymized dataset that catalogs vulnerabilities from all LLM engagements.

Kroll has found a worrying prevalence of prompt injection attacks in the LLM cases it has investigated and it plans to share its findings.

Key Takeaways

  • Introduction: What is a prompt injection security attack?
  • Research Findings: 92% of assessments with LLM findings had prompt injection, 38% of assessments with LLM findings had multiple prompt injection vulnerabilities
  • Case Studies: Tales from the trenches of prompt injection attacks
  • Impact: Why is prompt injection so prevalent?
  • Mitigation: Ways to mitigate the risk of prompt injection attacks


  • Krishna Raja, Managing Director, Offensive Security, Kroll Cyber Risk
  • Alex Cowperthwaite , Technical Director of Research and Development, Offensive Security, Kroll Cyber Risk


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