Guarding Generative AI: The OWASP LLM Top 10 Explained

The rise of generative AI and Large Language Models (LLMs) has brought transformative capabilities across industries—but also new security risks.In this webinar, we will discuss the OWASP LLM Top 10, developed by the Open Web Application Security Project,highlighting the ten most critical vulnerabilities specific to LLMs.It is a vital resource for developers, Infra and security teams, and organizations looking to build or deploy secure GenAI AI applications for the production environments.

Key Takeaways:

• Learn the OWASP LLM Top 10 to understand the most critical security vulnerabilities specific to Large Language Models.
• Understand the real-world implications of LLM vulnerabilities for secure development and deployment in production environments.
• Gain actionable strategies and best practices to mitigate LLM security risks and build secure GenAI applications.

Purva Porwal is an accomplished AI Software Engineer at JPMorgan Chase, bringing over 9 years of experience in the tech industry.A self-taught specialist in Conversational AI and Natural Language Processing, she has made impactful contributions across diverse domains primarily finance and telecom. Purva is deeply passionate about the transformative power of AI and is constantly exploring the latest advancements in the field. In addition to her technical work, she actively mentors aspiring professionals, sharing her knowledge and guiding the next generation of AI talent. She is a committed member of the AI community,continuously engaged in thought leadership, and collaborative growth.