Security Risks in Building GenAI Apps | Future & AI Webinar Series

8 out of 10 companies who considered AI models as a vital part of their business experienced breaches in their AI systems over the past year 77% of the companies surveyed experienced breaches in their AI systems over the past year.

​An organization offering tutoring services to Chinese students paid INR 2.5 crore just for AI-related age discrimination.
​A New York lawyer faces a hearing after using AI tool ChatGPT for legal research.

​As businesses increasingly adopt GenAI applications, the discussion about their capabilities and the importance of their adoption has grown. However, with this widespread use comes the critical need to address their security.

​In this upcoming webinar, host Nikhilesh Tayal tackled the crucial issue of Generative AI security. Designed specifically for senior business and product leaders, this session offered valuable insights to product and business leaders for securing AI applications and keeping them safe from evolving threats.

​About the Expert-

Nikhilesh Tayal is an alumnus of IIT KGP, an entrepreneur, and founder of AI ML etc., a company that creates AI courses for working IT professionals. With extensive experience in AI development and security, Nikhilesh will share his insights on protecting generative AI applications from potential attacks. He will elaborate on his recent article, highlighting the critical security aspects of large language models (LLMs).
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