Topic 1: Securing LLM's in Enterprise Data
Brief: Identify the data exposure risks in LLM's and methods to prevent in. Know the expanding security landscape and new attack vectors securing those models against tampering, prompt injection (PI) attacks, protection mechanisms and tools available.
Speaker Bio: As the Chief Architect Security at Pure Storage, I lead and manage comprehensive Cloud, SaaS and AI security programs for the enterprise.
Topic 2: Risk considerations in the age of AI
Brief: In the evolving age if AI, What are the risks, emerging policy and ethics considerations and how to be compliant as an enterprise. You will walk away with insights on how to be prepared for AI personality as well as for the enterprise
Speaker Bio: He is a startup executive, entrepreneur, board advisor and business transformation practitioner in the domain of emerging technologies. His core expertise has been in transforming data into business value and improving customer experiences by delivering strategic and innovative capabilities that use analytic insights to enable growth and productivity. As a CDO, He specializes in harnessing the power of data-driven innovations driving adoption of cloud-first technologies and rapidly accelerating AI/ML and automation journeys in the enterprise. As an organizational transformation agent, he believe in combining the power of people, culture and technology to generate outsized returns for the stakeholders. He does this by focussing on the customers' unmet needs and collaboratively building on the foundation of immersive experiences.