Session Description:

This vibrant and interactive session delves into the exciting yet complex world of Large Language Models (LLMs). It’s a deep dive into the dual nature of LLMs as both enablers and potential risks within different performing teams.  The session also sparks discussions on the role of LLMs in reshaping the audit landscape and challenges participants to critically analyze their team’s readiness for this new era. We also will discuss the risks associated with LLM usage and the potential controls to mitigate those risks including the impact of AI and Data Governance practices.    

In this session we will analyze practical scenarios that demonstrate the impact of LLMs on Internal auditing using Chat GPT practical examples to demonstrate learning objectives. This presentation will also showcase examples of work programs to review AI governance and usage within an organization. 

Speaker Profile:  

Michael Kostanecki, Associate Director, Team Lead, Technology Risk and Audit, Protiviti

Michael is a proven leader with over 17 years of Internal Audit and IT Consulting experience specializing in the areas of Cybersecurity Emerging Technologies (AI), Data Governance, and Third-Party Risk Management Assessments / Internal Audits. As an Associate Director in the Protiviti Toronto office, Michael plays a hands-on leadership role in the Technology Audit practice. He has a unique blend and a deep understanding of key technical IT and Cybersecurity risk areas coupled with a foundational business and accounting background delivering meaningful value add recommendations to clients.

Tarun Dhawan, Associate Director, Technology Risk and Audit, Protiviti

Tarun is an Associate Director in Protiviti's Internal Audit practice, where he specializes in Technology risk. With over a decade of experience in IT risk consulting, his expertise includes conducting internal and external audits, cybersecurity assessments, cloud security assessments, and third-party risk management. Tarun supports Protiviti’s Next Gen Internal Audit initiatives particularly those centered around managing risks and controls associated with Gen AI. With a demonstrated history of success, he has collaborated with clients spanning diverse sectors such as financial services, mining, and manufacturing.

CPE: 4.0 Hrs

Please Note:  There is a cancellation policy in effect