Role-Based Programme
RB1693

AI-Powered Cybersecurity Risk

Smarter Threat Analysis, Control Review & Risk Monitoring

IMAGE REQUIRED
Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Cybersecurity Risk activities across risk identification, control review, incident analysis, assessment, and reporting.
  • Apply AI-assisted techniques to analyse cybersecurity risks, controls, incidents, vulnerabilities, and supporting documentation.
  • Use structured prompting for cyber-risk assessment, control-gap analysis, incident summaries, risk registers, and management reporting.
  • Explore AI-supported approaches for identifying recurring security issues, risk patterns, control weaknesses, and remediation priorities.
  • Build responsible AI-assisted Cybersecurity Risk workflows while maintaining confidentiality, data security, evidence integrity, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisCyber Risk AnalysisControl Assessment AIIncident AnalysisWorkflow Automation

Who should attend

  • Cybersecurity Risk Analysts
  • Information Security Risk Professionals
  • Technology Risk Analysts
  • IT Risk Executives
  • Internal Auditors
  • Cybersecurity Auditors
  • Governance, Risk & Compliance Professionals
  • Information Security Professionals
  • Risk Managers
  • IT Control Professionals
  • Security Assurance Professionals
  • Operational Risk Professionals
  • Technology Audit Professionals
  • Cybersecurity Risk Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of Cybersecurity, IT Risk, Information Security, Audit, or Risk Management
  • Familiarity with security controls, incidents, vulnerabilities, policies, or risk registers is helpful
  • Basic computer, spreadsheet, and document-handling skills
  • No AI or programming knowledge required
  • No previous AI training required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Cybersecurity Risk
  • Identifying AI applications across cyber-risk assessment, control review, incident analysis, and reporting
  • Understanding AI assistance versus cybersecurity, audit, and risk-professional judgement
  • Recognising limitations such as hallucinations, outdated information, bias, and incomplete security context
Practical activities
  • Mapping a typical Cybersecurity Risk workflow
  • Identifying repetitive and information-intensive activities suitable for AI assistance
  • Comparing a traditional cyber-risk task with an AI-assisted approach

Scenarios

Technology Environment to Cyber Risk Assessment

Business System → Asset & Data Review → Threats & Vulnerabilities → Existing Controls → AI-Assisted Risk Analysis → Risk Rating → Mitigation Actions

Participants use AI to analyse a sample technology environment, structure key cybersecurity risks, review existing controls, and prepare a risk-assessment summary for authorised review.

Security Incident to Risk & Control Improvement

Security Event → Incident Timeline → Impact Analysis → Control Review → Evidence Gaps → Remediation Actions → Cyber Risk Report

Participants use AI to structure a sample cybersecurity incident, identify relevant risk and control questions, and prepare a management-ready report with remediation follow-up while retaining technical and risk decisions with authorised personnel.

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