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Securing GenAI Rollouts: Strategies for Effectively Deploying Trustworthy Generative AI Solutions

June 6, 1:30 PM - 2:00 PM
Imperial Room A

Deploying secure and trustworthy generative AI solutions is crucial for large-scale enterprise adoption of impactful Gen AI solutions. This talk will explore essential strategies to safeguard generative AI applications. Attendees will learn about identifying and mitigating generative AI risks such as jailbreaking, generating harmful/toxic content, and bias using advanced red teaming efforts. The talk will then cover mitigating those risks using alignment training and effective guardrails. We will effectively cover how to build and deploy robust generative AI systems with continuous risk assessment, real-time threat detection, and automated compliance enforcement. This session is designed for AI practitioners, security experts, and business leaders who aim to harness the potential of Gen AI while ensuring their applications remain secure and trustworthy.

About the speaker

Prashanth Harshangi

Prashanth Harshangi

CTO, Enkrypt AI

Prashanth is an experienced data science and ML leader who has led teams to deliver impactful solutions by translating complex business objectives into robust machine learning implementations and deployments. His background includes a unique blend of skills, with a strong foundation in both data science and ML engineering, which enables him to deliver solutions across the full ML lifecycle. He believes in hands-on leadership with experience in software development, container orchestrations, and kubernetes deployments to guide DS and MLE teams. Prashanth as served as a mentor to several interns and team members in data science and ML deployments, helping them to grow and succeed in their careers. Academic background: Applied Math and Optimization Ph.D. from Yale University