Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Corporate Office Suite, KL Gateway, No. 2, Jalan Kerinchi, Gerbang Kerinchi Lestari, 59200 Kuala Lumpur, Malaysia

Course Brochure

Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

AI for Cyber Security

Course Code: C434
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What's This Course About

AI for Cyber Security gives you practical knowledge of how artificial intelligence is transforming cyber defence, from threat detection and security analysis to incident response and governance. Organisations face growing volumes of attacks and alerts, and AI helps security teams see threats sooner, prioritise risks and act faster, while also introducing new risks that must be managed. The course is designed for security analysts, IT managers, risk and compliance professionals and technology leaders who want to apply AI to strengthen their security posture.

You will start with AI-assisted security risk, threat and control analysis, using AI to analyse threat intelligence, logs and vulnerabilities, assess risks and evaluate the effectiveness of existing controls. Next you will design AI-powered cybersecurity programmes, defining objectives, use cases and processes for applying AI to areas such as detection, phishing defence and vulnerability management. You will then develop AI-driven security architecture and operations, integrating AI into monitoring, security operations centre workflows and automated response.

The final topic covers monitoring, evaluating and governing AI security, including measuring the performance of AI tools, managing risks such as prompt injection, data leakage and model manipulation, and aligning with policies and regulations. Throughout the course you will work with realistic scenarios and case studies. By the end, you will be able to identify where AI adds the most value in cyber security, design practical AI-enabled security measures and govern their use responsibly.

HRD Corp Claimable

🏦 HRD Corp Claimable

This course is HRD Corp claimable for eligible employers. Grant approval and reimbursement remain subject to HRD Corp requirements, the employer’s available levy and the approved grant details. How the HRD Corp process works →

Course Fee

MYR2,200.00
+ 8% SST

Course Date

Course Time

* Required Fields

Course fees are shown before SST. An 8% SST is included in the estimated total during registration.

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: AI-Assisted Security Risk, Threat and Control-Gap Analysis

Topic 2: Designing AI-Powered Cybersecurity Programmes

Topic 3: Developing AI-Driven Security Architecture and Action Plans

Topic 4: Monitoring, Evaluating and Governing AI Security Solutions

Course Info

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

Job Roles

Job Roles

  • Cyber Security Professionals
  • IT Professionals
  • Network Security Professionals

Trainers

Trainers

Security is not an afterthought in the systems Dr. Alfred Ang builds; it is designed in from the start. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and serves as Chief Technology Officer of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses, delivering solutions end to end across front ends, back ends, databases, cloud deployment and native mobile apps. Running the ai-mms course-registration platform for the Singapore, Malaysia and Ghana sites means handling admin authentication, role-based access, payment integrations and security hardening in production. Dr. Ang built a training environment platform that serves browser-based Docker labs, including Kali Linux and Ubuntu, with role-based access, OAuth and on-demand containers, and an IT service desk demo with a credential-leak guard and a strict Content Security Policy. Several single-page projects ship with hardened, hash-based CSP rules, and a developer portal handles mutual TLS and OAuth when calling government APIs. Guardrails for AI receive equal attention: an HR portal on n8n includes an OpenAI chatbot protected by input and output guards, and Dr. Ang's Claude Code skills include a secret scanner that stops API keys and passwords from being pushed. A SCORM e-learning module on security awareness, with narrated video and knowledge checks, rounds out the picture. More than 300 public repositories on GitHub document these practical approaches to securing applications and AI systems. Each project treats security as an engineering habit rather than a final checklist.

AI for Cyber Security uses that builder's view of security to make AI-driven defence concrete. Dr. Ang opens with AI-assisted analysis of security risks, threats and control gaps, showing learners how to use AI to summarise threat intelligence, map assets and risks, and compare existing controls against a recognised framework. The second topic covers designing AI-powered cybersecurity programmes: where AI adds value in detection, alert triage and response, and what people, process and data foundations must exist first. Learners then develop AI-driven security architecture and action plans, sketching how detection tools, logging, identity controls and response playbooks fit together, and prioritising improvements by risk and effort. The final topic addresses monitoring, evaluating and governing AI security solutions, including false positives, model drift, prompt injection, data leakage and the governance needed when AI itself becomes part of the attack surface. Dr. Ang illustrates each concept with safeguards drawn from running live systems, such as blocked secrets, hardened headers and guarded chatbots, so learners can see controls that actually work. Sessions combine short explanations, live demonstrations and practical exercises in which learners analyse a scenario and produce a risk assessment and action plan for an organisation like their own. Participants leave with a structured approach to adopting AI in security operations and a realistic view of its limits. Learners also consider how attackers are using AI, so defences can anticipate new techniques. To see the security-hardened projects behind these lessons, visit https://github.com/alfredang

Review

Customer Reviews (5)

Knowledgeable trainer Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 11/03/2026)
Practical and relevant Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 15/08/2025)
Very satisfied Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 04/11/2024)
Very satisfied Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 13/07/2024)
Good course materials Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Excellent delivery and good balance between theory and practice. Learned a lot in a short time. (Posted on 11/04/2024)

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