Role-Based Programme
RB1692

AI-Powered Cybersecurity Risk

Smarter Risk Assessment, Control Review & Threat Analysis

IMAGE REQUIRED
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Cybersecurity Risk activities across risk identification, control review, incident analysis, documentation, and reporting.
  • Explore practical prompting techniques for cybersecurity risk assessments, control-gap reviews, incident summaries, and risk-register updates.
  • Apply AI to organise cybersecurity information, identify recurring themes, and prepare structured risk-management outputs.
  • Identify opportunities to improve analysis efficiency, documentation quality, control visibility, and management reporting.
  • Recognise confidentiality, sensitive security information, evidence validation, regulatory requirements, and human-review responsibilities when using AI.

Tools covered

Generative AI AssistantsAI-Assisted Risk AnalysisCybersecurity Control ReviewDocument IntelligenceIncident & Threat SummarisationSpreadsheet AnalysisRisk Register SupportBasic Workflow Automation

Who should attend

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

Prerequisites & Participant Readiness

  • Basic understanding of cybersecurity, information security, risk, or audit concepts
  • Familiarity with risks, controls, incidents, policies, or technology processes is helpful
  • Basic computer and spreadsheet skills
  • No AI or programming knowledge required
  • No previous Generative AI experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Cybersecurity Risk
  • Identifying AI applications across risk identification, control review, incident analysis, and reporting
  • Understanding AI assistance versus cybersecurity and risk-professional judgement
  • Recognising activities where evidence, technical validation, and authorised review remain mandatory
Practical activities
  • Mapping common Cybersecurity Risk activities to potential AI applications
  • Comparing a traditional cybersecurity-risk task with an AI-assisted approach

Scenarios

Technology Process to Cybersecurity Risk Review

Technology Process → AI-Assisted Asset Identification → Threats & Vulnerabilities → Existing Controls → Risk Gaps → Review Summary

Participants use AI to organise a sample technology process, identify potential cybersecurity risks, map existing controls, and prepare a structured risk-and-control summary for professional review.

Cyber Incident to Management Risk Brief

Incident Notes + Technical Information → AI Summarisation → Impact → Control Gaps → Corrective Actions → Management Brief

Participants use AI to organise verified incident information into a concise cybersecurity-risk brief covering business impact, control gaps, actions, and follow-up requirements while retaining final technical and risk conclusions with authorised professionals.

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