Training on Cybersecurity Fundamentals with AI Threat Detection
Learn to identify cyber risks, understand AI-based security tools, and improve digital resilience
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This course provides a practical foundation in cybersecurity principles combined with an introduction to AI-enabled threat detection. Participants will learn how cyber threats emerge, how organizations protect digital assets, and how artificial intelligence is increasingly used to detect, prevent, and respond to cyber incidents. The course emphasizes real-world threats, risk management, ethical considerations, and hands-on awareness to support safer digital operations.
Duration
5 Days
Who Should Attend
-
IT and systems officers
-
Managers and supervisors responsible for digital assets
-
Government, NGO, and development sector staff
-
Risk, compliance, and audit professionals
-
Data protection and information security officers
-
Non-technical professionals seeking cybersecurity awareness
What you'll walk away with
By the end of this course, participants will be able to:
-
Understand core cybersecurity concepts and threat types
-
Identify common cyber risks affecting organizations
-
Explain how AI is used in threat detection and response
-
Apply basic cybersecurity controls and best practices
-
Support organizational cybersecurity policies and awareness
What we cover, module by module
Module 1: Introduction to Cybersecurity Fundamentals
- Overview of cybersecurity and digital risk
- Common cyber threats: malware, phishing, ransomware
- Cybersecurity principles: confidentiality, integrity, availability
- Human factors and social engineering
- Case Study:How a phishing attack led to a major data breach
Module 2: Cyber Threat Landscape & Risk Management
- Understanding threat actors and attack vectors
- Risk assessment and vulnerability management
- Cybersecurity frameworks and standards (overview)
- Roles and responsibilities in cybersecurity
- Practical Session:Identifying risks in an organizational environment
Module 3: AI in Cybersecurity & Threat Detection
- Introduction to AI and machine learning in cybersecurity
- AI-based threat detection and anomaly detection
- Behavioral analytics and automated alerts
- Benefits and limitations of AI in cybersecurity
- Case Study:Using AI to detect unusual network behavior
Module 4: Incident Response, Data Protection & Ethics
- Cyber incident response lifecycle
- Data protection, privacy, and compliance considerations
- Ethical use of AI in cybersecurity
- Communicating and reporting cyber incidents
- Practical Session:Simulated incident response exercise
Module 5: Building Cyber-Resilient Organizations
- Cybersecurity awareness and culture
- Integrating AI tools into security operations
- Developing basic cybersecurity action plans
- Emerging trends in cyber threats and AI defense
- Capstone Activity:Creating a simple cybersecurity improvement plan
Where the change lands
Personal Impact
-
Improved understanding of cybersecurity risks and controls
-
Increased awareness of AI-based threat detection tools
-
Stronger ability to identify and respond to cyber risks
-
Enhanced confidence in promoting secure digital practices
Organizational Impact
-
Reduced exposure to cyber threats and data breaches
-
Improved cybersecurity awareness across teams
-
Stronger incident response and risk management
-
Better alignment with data protection and security standards
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
You may also like.
Programmes in the same discipline that participants often pair with this course.
Hybrid5 daysMaster research methods, data analysis, and report writing for the public sector. Gain the skills to conduct rigorous research, analyze data effectively, and communicate findings clearly.
Hybrid5 daysGain practical skills in AI ethics, governance, and regulatory compliance for sustainable innovation.
Hybrid5 daysBuild skills in ethical AI and governance. This course equips professionals to implement AI responsibly while addressing bias, privacy, and accountability.
Course finder
Find the right course for you
Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on Cybersecurity Fundamentals with AI Threat Detection in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.