PANEL DISCUSSION: GENERATIVE AI & LLM SECURITY AND COMPLIANCE - NAVIGATING THE RISK LANDSCAPE OF ENTERPRISE AI ADOPTION

As generative AI and large language models (LLMs) move from experimentation to enterprise deployment, organizations must confront a new layer of risk tied to data privacy, model behavior, intellectual property exposure, and regulatory scrutiny. While the potential for productivity and innovation are massive, the security and compliance risks are just as significant - and far more complex.

This event will explore how to operationalize responsible AI - balancing innovation with governance. From prompt injection to data leakage, and from model hallucinations to global regulatory alignment, we’ll unpack what enterprises must do now to ensure secure, compliant, and scalable use of generative AI tools.

Topics of discussion will include, yet will not be limited to:

• Core threats & vulnerabilities in LLM and generative AI systems
• Enterprise-grade governance models for security, privacy, and compliance
• Regulatory readiness in the face of emerging AI legislation and global standards

Chirag Shah, Global Information Security Officer & Data Protection Officer, MODEL N

Suzanne LaLena, Senior Vice President, Automation Engineering, BNY

Moderator/Speaker: Doug Shannon, Global Intelligent Automation & GenAI Thought Leader & Global Intelligent Automation Manager, GLOBAL PHARMACEUTICAL COMPANY