Deploying Secure AI: Real-World Lessons from Regulated Industries
Description:
How do you bring the power of AI to industries where privacy and security are non-negotiable? In this session, Aishwarya Ramasethu shares practical insights from the front lines of deploying private, secure AI systems in highly regulated environments. Learn how enterprises in agriculture, manufacturing, and healthcare are transforming their processes with intelligent applications—while meeting strict compliance and security requirements.
Whether you’re navigating sensitive data or just want to make your AI more robust, you’ll leave with actionable strategies for safe, effective AI adoption.
About the Speaker:
Aishwarya is an AI engineer at Prediction Guard, where she focuses on improving the privacy and security of LLMs. Her responsibilities include developing techniques for masking Personally Identifiable Information (PII) in user prompts, identifying prompt injections, and researching relevant Privacy Enhancing Technologies (PETs). Aishwarya previously worked as a data scientist in industry and a researcher at Purdue University, where she focused on constructing optimal discrete noise to be added to data to make it Differentially Private (maximizing both privacy budget and utility). With 6+ years of experience in analytics, AI, and data science, Aishwarya’s work has led to both research contributions and real-world insights for companies.
