Role-Based Programme
RB1519

AI-Powered Cybersecurity & Security Operations

Intelligent Threat Detection, Incident Response & Security Automation

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across cybersecurity monitoring, threat detection, vulnerability management, incident response, security operations, and governance.
  • Use AI to analyse security alerts, logs, vulnerabilities, incidents, endpoint events, network activity, access records, and threat intelligence.
  • Build repeatable AI-assisted workflows for alert triage, investigation, escalation, incident documentation, remediation tracking, and security reporting.
  • Apply AI to identify recurring attack patterns, anomalous activity, control weaknesses, vulnerability priorities, and areas requiring deeper security investigation.
  • Design responsible AI-enabled cybersecurity workflows with appropriate controls for confidentiality, privileged access, evidence integrity, explainability, auditability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchSecurity AnalyticsSIEM & Log Analysis ToolsThreat Intelligence PlatformsVulnerability Management ToolsEndpoint & Network Security AnalyticsIdentity & Access AnalyticsIncident Response ToolsReporting & Dashboard ToolsWorkflow Automation

Who should attend

  • Cybersecurity Analysts
  • Security Operations Center Analysts
  • SOC Analysts
  • Security Engineers
  • Cybersecurity Engineers
  • Information Security Analysts
  • Security Operations Managers
  • Incident Response Professionals
  • Threat Monitoring Analysts
  • Vulnerability Management Professionals
  • Security Administrators
  • Cloud Security Professionals
  • Identity & Access Management Professionals
  • IT Security Managers
  • Cybersecurity & Security Operations Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of cybersecurity, information security, Security Operations, IT infrastructure, or network operations
  • Familiarity with security alerts, logs, vulnerabilities, incidents, access controls, and basic security monitoring concepts
  • Basic proficiency with spreadsheets, technical documentation, dashboards, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, security analytics, and automation
  • Mapping AI opportunities across monitoring, detection, investigation, response, and reporting
  • Understanding AI assistance versus accountable security decision-making
  • Recognising hallucination, sensitive-data exposure, false-positive, and over-automation risks
Practical activities
  • Mapping a current Security Operations workflow
  • Comparing manual and AI-assisted security activities
  • Creating a Cybersecurity AI opportunity matrix

Scenarios

Security Alert to Incident Closure

Security Alert → AI-Assisted Triage → Log Correlation → Threat Context → Investigation → Containment Support → Remediation Tracking → Validation → Incident Closure

Participants use AI-assisted defensive techniques to analyse a simulated security incident, prioritise evidence, build a timeline, coordinate response actions, and prepare an incident-closure summary.

Security Operations Data to Continuous Defensive Monitoring

Alerts + Logs + Vulnerabilities + Endpoint Events + Access Data + Incident History → AI Analysis → Recurring Threat Patterns → Priority Risks → Automated Enrichment & Escalation → Security Dashboard → SOC Review

Participants design an AI-enabled Security Operations workflow that consolidates defensive signals, identifies recurring security risks, automates safe enrichment and routing, and strengthens operational visibility while retaining sensitive response decisions with authorised cybersecurity professionals.

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