IT Audit Training

Our Technology and Cyber Security Audit Expert will share his 20 years of experience in designing, building and executing effective audits and audit programmes which support organizations in ensuring they meet legal and regulatory requirements, effectively manage risks and drive best value from their technology investments. This training will focus on how to integrate AI into the IT Audit programme and how to leverage AI to increase efficiency benefiting both auditors and auditees.

Why You Must Attend This Training

Organizations make significant investments in technology with a growing risk surface covering increased technical complexity, growing international legislation, increasing customer demand for security and privacy and ever growing threat landscape. Against this backdrop it is essential that management have a way to gain assurance relating to these issues.

An effective IT Audit programme lead by highly skilled and competent auditors and augmented by the effective use of AI, is one of the key mechanisms to address many of these challenges. Many organizations globally are seeking senior specialists with audit skills who can also leverage the many benefits of AI solutions to deliver more effective, efficient and accurate audits. This course is designed to equip professionals with the knowledge and skills they need to succeed.

Alignment with Global Standards & Guidelines

The course offers a comprehensive strategic and tactical grounding in both AI and IT Audit and specific examines how IT Audits can be enhanced through the effective application of AI.

The course is aligned to global standards including ISO/IEC 42001:2023. ISO/IEC 27001:2022 and ISO 19011:2018 alongside the audit procedures of the Information Systems Audit and Control Association (ISACA) and the Institute of Internal Auditors.

Key Learning Objectives Upon Completion of This Training

Upon completing this training, participants will be able to:

• Learn the fundamentals of AI covering AI types, machine learning, deep learning and neural networks.

• Understand real world applications of AI and the key considerations surrounding governance, risks, regulations and ethics.

• Understand the various standards, laws and regulations that apply to IT systems and form the basis of IT audit.

• Understand an IT Audit managers’ role to: plan, lead and follow-up on IT Audit in accordance with ISO 19011 and how AI can be incorporated and utilized throughout the audit life cycle.

• Learn how to use AI to interpret the requirements of standards and regulations in the context of an IT audit.

• Acquire the skills to utilize AI to support in: planning an audit, analyzing evidence, drafting reports, and managing audit follow-up in alignment with ISO 19011.

• Understand the issues of building an effective IT Audit programme in line with risk and legal and regulatory requirements and how AI can support this.

• Understand how to organize, manage and deliver online audits, augmented with AI solutions.

Who Should Attend?

This course gives the delegate a comprehensive subject matter grounding in the area of AI focussing on key AI solutions and how they operate practically. The course will then focus IT Audit covering audit planning, audit design, audit execution, audit risk, audit evidence and evaluation, audit conclusions and follow up specifically considering, how AI can be used at each of these phases to enhance the IT Audit process. The following professionals should attend this course:

• Experience IT Audit Managers seeking to gain a deeper insight into AI and how this can be leveraged in the IT Audit setting

• Audit Managers seeking a strong understanding of AI and its role in IT Audit

• Individuals responsible for maintaining conformance with IT governance, regulatory or privacy or security requirements

• Technical experts seeking to effectively apply AI technologies

• Expert advisors in AI, Risk, Privacy, Cyber or Information Security Management

• Risk managers looking to understand how AI and IT Audit can support the risk management process.