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Focus & Features
Technology and associated cyber threats are evolving at an increasingly accelerated pace. What was once considered emerging or even futuristic is quickly being engrained into business processes and thus is being added to the radar and audit programs.
Participants will discover key considerations when beginning to audit topics, including digital transformation, multicloud strategy, storage minimalism and SSD data reduction, multifactor authentication with biometrics, smart contracts, AI in cybersecurity, augmented/virtual reality, data fabric in data analytics, and data/automation ethics.
At the end of the workshop, participants will have collaborated on developing a basic risk and control (R&C) matrix and user stories to help them improve their audit processes related to assessing these topics.
Course Objectives
- Discover how each topic area is being integrated into organizations now.
- Identify basic risks and controls related to each stated topic.
- Explore how the R&C matrix can be revised to incorporate these topics.
- Discuss key auditing procedures/user stories.
- Develop user stories specific to each topic.
What You Will Learn
Overview of innovation
Introduction and key integration considerations
- Digital transformation.
- Multicloud strategy.
- Storage minimalism and solid-state drive (SSD) data reduction.
- Multifactor authentication with biometrics.
- Smart contracts and blockchain technologies.
- ChatGPT and generative AI technologies.
- AI-enabled cybersecurity.
- Augmented reality (AR)/virtual reality (VR).
- Data fabric and data mesh in data analytics.
- Data, automation, and AI ethics.
Components and purpose of a comprehensive risk and control (R&C) matrix.
Risk and control considerations
- Digital transformation.
- Multicloud strategy.
- Storage minimalism and SSD data reduction.
- Multifactor authentication with biometrics.
- Smart contracts, NFT, and blockchain technologies.
- ChatGPT and other generative AI technologies.
- AI in cybersecurity.
- Augmented reality (AR)/virtual reality (VR) and mixed reality (MR/XR).
- Data fabric and data mesh in data analytics.
- Data/automation ethics.
Auditing innovation.
Auditing new technology and processes
- Developing user stories and acceptance criteria for innovation topics:
- Digital transformation.
- Multicloud strategy.
- Storage minimalism and SSD data reduction.
- Multifactor authentication (MFA) with biometrics.
- Smart contracts, NFT, and blockchain technologies.
- ChatGPT and generative AI technologies.
- AI-enabled cybersecurity.
- Augmented reality (AR)/virtual reality (VR) and mixed reality (MR/XR).
- Data fabric and data mesh in data analytics.
- Data/automation ethics.
Who will benefit from this course?
This course is applicable for participants with 2 years' experience in internal audit.
Number of CPE units: 7
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