Trustworthy AI : De-risk business adoption of AI
Securing GenAI: Secure our Future
Sep 10, 2024
Steve Wilson, a leader in LLM Governance & Cybersecurity at OWASP and Product Officer at Exabeam, dives into the importance of securing Generative AI. He discusses how organizations must move beyond experimentation to fully leverage LLMs while recognizing the rising threats from adversaries using AI against them. Wilson highlights the need for stringent security measures, such as the OWASP Top10 for LLMs, and stresses that without a proactive approach, companies risk not only operational inefficiencies but also falling behind in innovation and competitive advantage.
22:34
Episode guests
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Securing Generative AI is essential for organizations to prevent adversaries from exploiting vulnerabilities and ensure operational efficiency.
- Implementing architectural patterns like zero-trust and retrieval-augmented generation can significantly enhance the security of Large Language Models.
Deep dives
The Importance of Generative AI Security
Generative AI security is becoming increasingly critical as businesses rush to adopt these technologies. The landscape was largely unprepared when generative AI emerged, which led to notable incidents where companies released faulty applications. To address these challenges, organizations like OWASP, MITRE, and NIST are providing guidance to navigate the unique security requirements associated with generative AI. This collective effort underscores the industry's recognition of the need for dedicated security measures, indicating a proactive approach to integrating generative AI responsibly.
