Mitigating Risks in Large Language Models

This week, we are pleased to be joined by Mick Baccio, global security advisor for Splunk SURGe, sharing their research on "LLM Security: Splunk & OWASP Top 10 for LLM-based Applications." The research dives into the rapid rise of AI and Large Language Models (LLMs) that initially seem magical, but behind the scenes, they are sophisticated systems built by humans. Despite their impressive capabilities, these systems are vulnerable to numerous cyber threats.

Splunk's research explores the OWASP Top 10 for LLM Applications, a framework that highlights key vulnerabilities such as prompt injection, training data poisoning, and sensitive information disclosure.

The research can be found here:

• LLM Security: Splunk & OWASP Top 10 for LLM-based Applications

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