Role-Based Programme
RB1694

AI-Powered Cybersecurity Risk

Smarter Threat Assessment, Control Monitoring & Risk Assurance

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

Programme Objectives

  • Apply AI across Cybersecurity Risk activities including risk identification, threat assessment, control review, incident analysis, third-party risk, and reporting.
  • Use AI-assisted techniques to analyse security policies, risk registers, control evidence, incident records, and vulnerability information more efficiently.
  • Develop structured workflows for cyber-risk assessment, control evaluation, issue prioritisation, remediation tracking, and management reporting.
  • Analyse cyber-risk and security information to identify recurring weaknesses, control gaps, emerging threats, and areas requiring deeper review.
  • Apply responsible AI practices covering sensitive security information, confidentiality, evidence quality, access control, bias, and human oversight.

Tools covered

Generative AI AssistantsCyber Risk AnalyticsThreat Intelligence SupportDocument IntelligenceSpreadsheet AnalysisControl AssessmentIncident AnalysisRisk ScoringReporting AssistanceWorkflow Automation

Who should attend

  • Cybersecurity Risk Professionals
  • Information Security Risk Analysts
  • Technology Risk Professionals
  • IT Risk Managers
  • Internal Auditors
  • Cybersecurity Auditors
  • Governance, Risk & Compliance Professionals
  • Information Security Managers
  • Security Assurance Professionals
  • Risk Analysts
  • Third-Party Risk Professionals
  • IT Controls Professionals
  • Cyber Governance Professionals
  • Risk & Internal Audit Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of cybersecurity, IT risk, information security, audit, or controls
  • Familiarity with security policies, risk registers, incidents, vulnerabilities, or control frameworks 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 role in Cybersecurity Risk
  • Identifying AI applications across risk assessment, control review, incident analysis, and reporting
  • Understanding AI assistance versus cybersecurity, audit, and management judgement
  • Recognising the sensitivity of security architecture, vulnerabilities, incidents, and internal-control information
Practical activities
  • Mapping the Cybersecurity Risk lifecycle to AI-assisted activities
  • Identifying repetitive analytical and documentation tasks suitable for AI support
  • Comparing traditional and AI-assisted cyber-risk workflows

Scenarios

Cyber Risk Assessment to Remediation Plan

Business Asset → Threat & Vulnerability Review → AI-Assisted Risk Analysis → Control Mapping → Residual Risk → Treatment Actions → Owner & Due Date → Management Review

Participants use AI to structure a realistic cyber-risk assessment, analyse supporting evidence, map controls, identify residual risk, and develop a prioritised remediation plan for authorised review.

Security Incident to Risk & Control Improvement

Security Event → Incident Timeline → Impact Analysis → Control Review → Root-Cause Support → Risk Update → Corrective Actions → Management Report

Participants analyse a simulated security incident, organise the evidence, identify possible control weaknesses, update the related cyber-risk assessment, and prepare a management-ready report with corrective actions and follow-up requirements.

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