AI for NGO, Government and Business · MSDI

AI for Cybersecurity and Information Security Management

AI is both a powerful cybersecurity tool and a new source of cyber risk. Organizations must understand how AI can strengthen security while also creating threats such as deepfakes, automated phishing and data misuse.

This Magna Skills course equips ICT and security professionals with practical knowledge on AI-supported threat detection, incident response, social engineering, data protection and cyber resilience.

The course focuses on practical controls, governance and awareness that help institutions use AI safely in digital environments.

AI for Cybersecurity and Information Security Management
Online fee from
$200 USD
Standard: $300 · Save $100
Course Outcomes

Expected learning outcomes

Course Outcomes

  1. Understand how AI is used in cybersecurity, threat detection and security monitoring.
  2. Identify AI-enabled cyber threats, including deepfakes, phishing and social engineering.
  3. Use AI-supported tools to strengthen incident response, reporting and security awareness.
  4. Improve data protection, access control and responsible AI use in digital systems.
  5. Develop practical cybersecurity controls for safe AI adoption in organizations.
Curriculum

Course modules and outline

Course Outline

Module 1: AI in cybersecurity and information security management
  • Key concepts, practical examples and sector-based discussion.
  • Workplace application activity, templates and implementation considerations.
Module 2: AI-supported threat detection and monitoring
  • Key concepts, practical examples and sector-based discussion.
  • Workplace application activity, templates and implementation considerations.
Module 3: AI-enabled attacks, deepfakes and phishing risks
  • Key concepts, practical examples and sector-based discussion.
  • Workplace application activity, templates and implementation considerations.
Module 4: Incident response, reporting and investigation support
  • Key concepts, practical examples and sector-based discussion.
  • Workplace application activity, templates and implementation considerations.
Module 5: Data protection and access control
  • Key concepts, practical examples and sector-based discussion.
  • Workplace application activity, templates and implementation considerations.
Module 6: Security awareness and staff training with AI
  • Key concepts, practical examples and sector-based discussion.
  • Workplace application activity, templates and implementation considerations.
Module 7: Risk assessment and mitigation planning
  • Key concepts, practical examples and sector-based discussion.
  • Workplace application activity, templates and implementation considerations.
Module 8: Cybersecurity policies and documentation
  • Key concepts, practical examples and sector-based discussion.
  • Workplace application activity, templates and implementation considerations.
Module 9: Vendor and third-party AI security risks
  • Key concepts, practical examples and sector-based discussion.
  • Workplace application activity, templates and implementation considerations.
Module 10: Developing AI cybersecurity governance controls
  • Key concepts, practical examples and sector-based discussion.
  • Workplace application activity, templates and implementation considerations.
Target Audience

Who should attend?

Target Audience

ICT managers, cybersecurity officers, system administrators, information security managers, risk officers, auditors, compliance teams, digital transformation professionals, data protection officers, IT support teams and managers responsible for information systems.

Why Attend

Key course benefits

Practical capacity building approach
Designed for government, NGOs and public institutions
Real-world African case studies
Certificate of completion
Applicable tools and templates
Interactive facilitation and exercises
Course Enquiry

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