Role-Based Programme
RB1518

AI-Powered Cybersecurity & Security Operations

Smarter Threat Detection, Incident Response & Security Monitoring

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

Programme Objectives

  • Apply AI across defensive Cybersecurity and Security Operations activities including alert triage, incident analysis, threat intelligence, vulnerability management, and security reporting.
  • Use AI-assisted techniques to analyse logs, alerts, incident records, vulnerability data, security advisories, and operational evidence more efficiently.
  • Develop structured workflows for security monitoring, incident triage, investigation support, escalation, containment coordination, remediation, and post-incident review.
  • Improve SOC visibility through AI-assisted alert prioritisation, recurring-threat analysis, security metrics, operational dashboards, and management reporting.
  • Apply responsible AI practices covering sensitive security data, access control, evidence integrity, false positives, hallucination risk, and human oversight.

Tools covered

Generative AI AssistantsSecurity Operations AnalyticsSIEM Analysis SupportLog & Alert AnalysisThreat Intelligence SummarisationIncident Response SupportVulnerability ManagementSecurity DocumentationReporting AssistanceWorkflow Automation

Who should attend

  • Cybersecurity Analysts
  • Security Operations Center Analysts
  • SOC Analysts
  • Security Operations Engineers
  • Cybersecurity Engineers
  • Information Security Professionals
  • Incident Response Professionals
  • Threat Monitoring Analysts
  • Vulnerability Management Professionals
  • Security Administrators
  • IT Security Analysts
  • Security Operations Managers
  • Cyber Risk Professionals
  • Information Technology Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of cybersecurity, IT infrastructure, security monitoring, or incident-management activities
  • Familiarity with security alerts, logs, vulnerabilities, incidents, or SIEM concepts is helpful
  • Basic spreadsheet and technical-documentation skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, analytics, automation, and their role in defensive security operations
  • Identifying AI applications across monitoring, triage, investigation, vulnerability management, and reporting
  • Understanding AI assistance versus Security Analyst judgement and authorised security decision-making
  • Recognising risks related to sensitive security information, false conclusions, and uncontrolled automation
Practical activities
  • Mapping the Security Operations lifecycle to AI-assisted activities
  • Identifying repetitive defensive-security tasks suitable for AI support
  • Comparing traditional and AI-assisted SOC workflows

Scenarios

Security Alert to Incident Resolution

Security Alert → AI-Assisted Triage → Log & Evidence Review → Incident Classification → Escalation → Containment Coordination → Recovery → Post-Incident Review

Participants work through a simulated defensive-security incident, organise the evidence, prioritise the response, coordinate approved containment and recovery activities, and prepare a structured incident summary.

SOC Data to Security Operations Improvement Plan

Alerts + Incident Records + Vulnerability Data + Response Metrics → AI Analysis → Recurring Threat Themes → Operational Gaps → Priority Improvements → Management Report

Participants consolidate Security Operations information, identify recurring defensive-security challenges and process bottlenecks, and prepare a management-ready improvement plan with actions, owners, and priorities.

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