Role-Based Programme
RB1690

AI-Powered IT Risk & Technology Audit

Smarter Control Assessment, Evidence Analysis & Technology Assurance

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Apply AI across IT Risk and Technology Audit activities including risk assessment, audit planning, control evaluation, evidence analysis, testing, and reporting.
  • Use AI-assisted techniques to analyse policies, technology processes, system records, control evidence, audit documentation, and exception data more efficiently.
  • Develop structured workflows for IT audit scoping, risk-and-control mapping, testing, issue identification, remediation tracking, and management reporting.
  • Analyse technology-risk information to identify control gaps, recurring exceptions, access risks, change-management weaknesses, and areas requiring deeper audit review.
  • Apply responsible AI practices covering confidentiality, audit independence, system information, evidence integrity, access restrictions, and human oversight.

Tools covered

Generative AI AssistantsIT Risk AnalyticsDocument IntelligenceSpreadsheet AnalysisControl Testing SupportTechnology Audit DocumentationEvidence ReviewException AnalysisRisk ScoringReporting AssistanceWorkflow Automation

Who should attend

  • IT Auditors
  • Technology Auditors
  • IT Risk Professionals
  • Technology Risk Managers
  • Internal Auditors
  • Information Systems Auditors
  • IT Controls Professionals
  • Technology Assurance Professionals
  • Governance, Risk & Compliance Professionals
  • Information Security Auditors
  • IT Compliance Professionals
  • Technology Governance Professionals
  • Audit Managers
  • Risk & Internal Audit Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of IT, technology risk, internal audit, or control activities
  • Familiarity with IT policies, system processes, access controls, change management, or audit evidence is helpful
  • Basic spreadsheet and data-analysis skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, analytics, automation, and their relevance to technology assurance
  • Identifying AI applications across IT risk assessment, audit planning, control testing, and reporting
  • Understanding AI assistance versus auditor judgement, independence, and accountability
  • Recognising sensitive technology information that requires restricted handling
Practical activities
  • Mapping the IT Risk and Technology Audit lifecycle to AI-assisted activities
  • Identifying repetitive audit and documentation tasks suitable for AI support
  • Comparing traditional and AI-assisted technology-audit workflows

Scenarios

IT Risk Assessment to Audit Finding

Technology Process → AI-Assisted Risk Identification → Control Mapping → Audit Scope → Evidence Review → Testing → Exceptions → Finding → Management Action

Participants analyse a sample technology process, identify key risks and controls, design audit procedures, review evidence, and prepare a structured audit finding while retaining auditor judgement over all conclusions.

Access & Change Data to Technology Assurance Report

User Access Data + Change Records → AI-Assisted Analysis → Exceptions → Risk Categorisation → Control Review → Remediation Actions → Executive Report

Participants analyse sample access and change-management information, identify potential control exceptions, assess their risk implications, and prepare a management-ready Technology Audit report with clear actions and follow-up requirements.

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