Prompt Injection: The Top LLM Security Threat for Enterprises - Episode Hero Image

Prompt Injection: The Top LLM Security Threat for Enterprises

Original Title:

Resources

Resources & Recommendations

Books

  • "OWASP Top 10 for LLMs" - This resource was mentioned as covering the most important threat factors for generative AI applications, providing details on attacks, examples, and mitigation techniques.

Courses & Educational Resources

  • Prompt Engineering Course (Google) - This course is recommended for developers to learn how to craft system prompts effectively to get the best outcomes from interactions with LLMs.

Organizations & Institutions

  • OWASP (Open Web Application Security Project) - This organization provides a top 10 list of risks for LLMs, which was a central theme of the discussion.
  • Pangea - Sourabh Satish is the CTO and co-founder of this company, which ran the $10,000 AI prompt injection challenge.
  • Phantom Cyber - A company founded by Sourabh Satish, which was acquired by Splunk in 2018.
  • Splunk - The company that acquired Phantom Cyber in 2018.
  • Symantec - Sourabh Satish previously served as a distinguished engineer at this company.
  • Anthropic - This company was mentioned in the context of popularizing the MCP protocol for agentic architectures.

Websites & Online Resources

  • se-radio.net - The website for the Software Engineering Radio podcast.
  • computer.org/software - The online presence for IEEE Software Magazine.
  • seradio.slack.com - The Slack channel for Software Engineering Radio.

Other Resources

  • Software Engineering Radio Episode 673 - Provides broader context related to the current discussion on prompt injection.
  • Software Engineering Radio Episode 661 - Provides broader context related to the current discussion on prompt injection.
  • Software Engineering Radio Episode 582 - Provides broader context related to the current discussion on prompt injection.

---
Handpicked links, AI-assisted summaries. Human judgment, machine efficiency.
This content is a personally curated review and synopsis derived from the original podcast episode.