Home
WSQ - AI for IT Security

Sessions 4 days
Duration 32 hrs
Level Intermediate
Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

TSC Title: Data Governance
TSC Code: ICT-SNA-4008-1.1

Funding for this course is valid from 16 Aug 2024 to 15 Aug 2026. Register and complete the course within this period to qualify for funding support.

By end of the course, learners should be able to:

LO1: Roll out organization-wide adherence to data privacy and develop data lifecycle management guidelines.
LO2: Communicate internal data management standards and ensure acquisition of necessary data handling approvals.
LO3: Oversee organizational data transfers in accordance with required approvals and ethical guidelines.
LO4: Monitor compliance with data policies and investigate indicators of potential data breaches systematically.

Download Course Brochure

Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.
OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ - AI for IT Security

Course Code: TGS-2024048311

WSQ
SFC
PSEA
SFEC
Absentee Payroll
MCES

17 Review(s) | Add Your Review

AI for IT Security equips participants with practical skills to apply artificial intelligence to identify, assess, and respond to cybersecurity threats. The course explores how AI can support security monitoring, detect suspicious activities, analyze vulnerabilities, classify sensitive information, and improve incident response across organizational IT environments.

Participants will learn to use AI tools to analyze security logs, identify unusual patterns, summarize threat intelligence, evaluate potential risks, and generate recommended remediation actions. The course also covers AI-assisted data protection, access control, phishing detection, malware analysis, data loss prevention, security policy development, and compliance monitoring.

Through hands-on activities, learners will apply AI to realistic security scenarios, automate repetitive security tasks, investigate potential incidents, and produce clear security reports. Emphasis is placed on validating AI-generated findings, protecting confidential data, managing false positives, maintaining human oversight, and addressing risks such as prompt injection and adversarial attacks. By the end of the course, participants will be able to use AI responsibly to strengthen threat detection, accelerate security operations, and improve their organisation’s overall cybersecurity posture.

This course is part of our AI training in Singapore, where you can browse all our AI courses. See more AI security training.

Full Fee $2,000.00 Before GST

GST $180.00 9% of fee

Baseline Nett $1,180.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $780.00 SG age 40+ · 70% funded

SkillsFuture Enterprise Credit (SFEC)

Eligible companies can use their $10,000 SFEC to cover up to 90% of out-of-pocket course fees for classes ending on or before 30 Nov 2026. A redesigned SFEC starts on 1 Dec 2026.

View on SkillsFuture for Business

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used.

Direct Application on SkillsFuture Portal

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

Check PSEA Eligibility

Scroll down to “Keyword Tags” to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form, then submit the completed form to us:

PSEA Withdrawal Form Submit PSEA Form

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

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Topic 1: AI-Assisted Data Privacy Policies and Lifecycle Management

Topic 2: AI for Sensitive Data Discovery, Classification and Protection

Topic 3: AI-Powered Data Access, Transfer and Security Governance

Topic 4: AI-Assisted Compliance Monitoring and Data Breach Investigation

Written Exam
Practical Exam

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:

A free account on a generative AI assistant of your choice, e.g. ChatGPT, Google Gemini or Microsoft Copilot (the free tier is sufficient)

Hardware: Windows PC or Mac laptop

Funding Eligibility Criteria

Self-sponsored learners (individuals)

Singapore Citizens and Singapore Permanent Residents aged 21 and above.
Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).
Singapore Citizens aged 25 and above can pay the remaining fee with SkillsFuture Credit.

Company-sponsored learners

Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
Employers can also claim Absentee Payroll funding for employees who attend during working hours.
Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).

Conditions for all funded learners

Attendance is taken digitally with Singpass for every session, including the assessment.
You must complete the course and pass all assessments (assessed as Competent).
If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
9% GST is charged on the full course fee before funding.
Promo and discount codes cannot be used on funded courses.
Any balance after funding can be paid in cash, with SkillsFuture Credit, with PSEA (Singapore Citizens with a PSEA).

How to Apply SkillsFuture Credit Claim for Individuals

Singapore Citizens aged 25 and above can use their SkillsFuture Credit (base tier) to pay the course fee after funding. The $4,000 mid-career top-up cannot be used for this course.

Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
We email you an invoice showing the course fee after funding.
From 60 days before the course starts, and no later than the course start date, log in to MySkillsFuture with Singpass and click Claim credits.
Click Submit a Claim and search for this course by its course code, TGS-2024048311.
Select your class start date, enter the course fee payable after funding and the amount of credit to claim, then upload the invoice (PDF, JPG or PNG, under 4MB).
Review, accept the terms and click Agree and Submit. The credit is paid directly to us; processing can take up to 14 working days.

Changing or withdrawing: cancel the claim on MySkillsFuture at least one day before the course starts. If your class date changes, cancel the claim and submit a new one with the new date.

How to Apply SkillsFuture Enterprise Credit (SFEC)

SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.

Current SFEC: classes ending on or before 30 November 2026

Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.

Check your company's SFEC eligibility and balance on EnterpriseSG.
Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.

Any unused balance of the current SFEC expires on 30 November 2026.

Redesigned SFEC from 1 December 2026

Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.

How to Apply PSEA

Singapore Citizens with a Post-Secondary Education Account (PSEA), which stays open until around the year you turn 31, can use it to pay the course fee after funding for PSEA-approved courses. You can also use a sibling's PSEA after your own has been used up.

Check that this course shows the PSEA tag on its MySkillsFuture page.
Check your PSEA balance on MOE's Student Finance System with Singpass.
Download and complete the PSEA withdrawal form, then submit it to us.
We submit the withdrawal request to MOE. You (and your sibling, if you are using their account) authorise it in the Student Finance System. Nothing is withdrawn without this authorisation.
MOE pays us directly. If you have already paid, we refund the amount covered by PSEA.

More details: MOE PSEA overview.

Appeal Process

If you disagree with an assessment decision, you have the right to appeal.

When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
Discuss the decision with the assessor or the assessment manager first.
If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.

Job Roles

Information Protection Administrator
Compliance Officer
Data Governance Manager
IT Security Manager
Cybersecurity Analyst
Data Protection Officer
Risk Management Analyst
Security Compliance Analyst
Corporate Data Officer
Privacy Manager
Security Operations Center (SOC) Analyst
IT Project Manager
Network Administrator
Systems Administrator
Security Consultant
Chief Information Security Officer
Legal Compliance Advisor
Forensic Compliance Analyst
Insider Risk Manager
Regulatory Compliance Manager

Trainers

Dr. Alfred Ang builds systems that handle sensitive data every day, which gives him a practical view of how AI can strengthen IT security and data protection. He is a full-stack AI developer and Agentic AI solution architect whose experience spans system architecture, security, observability and cloud-native platforms on AWS and Kubernetes, and he is the founder of Tertiary Courses and Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd. He is CompTIA Security+ certified, an AWS Certified Solutions Architect, AI Practitioner and Cloud Practitioner, a Microsoft Certified AI Engineer Associate (AI-102) and Data Scientist (DP-100), and holds a Certificate in AI Ethics and Governance (Senior Professional) from NTU together with a PhD in Electrical Engineering from NUS. His GitHub portfolio shows data protection decisions in real products: tertiary-hrms manages payroll, leave and expense records with role-based access; ssg-api-portal connects to SkillsFuture Singapore APIs using mTLS and OAuth authentication; scannerapp performs OCR entirely on the device with no tracking; and n8n-inventorycontrol runs its AI audit on a local LLM through Ollama, keeping business data in-house. He also maintains AI-LMS-TMS, a learning and training management system that integrates with government APIs and holds learner records. These projects inform how he weighs convenience against confidentiality whenever AI touches personal or sensitive organisational information. As an ACTA-certified trainer and DACE-certified curriculum developer, he translates complex security concepts into clear, practical steps.

WSQ - AI for IT Security equips IT, security and compliance professionals to use AI to identify, assess and respond to threats while protecting the data at the heart of the organisation. The first topic applies AI to data privacy policies and lifecycle management, drafting and reviewing policies and mapping how data is collected, stored, retained and disposed of. The second covers AI for sensitive data discovery, classification and protection, using AI to find and label personal and confidential information across systems. In the third topic learners use AI-powered tools for data access, transfer and security governance, including access control, data loss prevention and the analysis of security logs for unusual patterns. The final topic addresses AI-assisted compliance monitoring and data breach investigation, from summarising threat intelligence to reconstructing an incident and recommending remediation. Dr. Ang shows both sides of the technology: how AI speeds up detection and analysis, and how careless AI use can itself leak data, for example through prompts pasted into public chatbots. He stresses verification, least privilege and clear audit trails, drawing on the controls he applies in his own systems and on his governance training. Learners work hands-on with realistic logs, policies and incident scenarios, leaving with workflows they can apply in their own security operations. He also explains how to evaluate AI security tools critically, checking false positives and the quality of their recommendations. To explore his security-conscious projects, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Quah Chee Yong is an ACLP-certified trainer and data science professional with extensive experience in Python, natural language processing (NLP) and machine learning. He has led AI training programmes for SAP, Temasek Polytechnic and IMDA under the SGUnited Mid-Career Pathways initiative, and has applied NLP tools such as NLTK, spaCy and Gensim to text classification, sentiment analysis and topic modelling. He is also an ICT professional with experience in technical operations, IT management and enterprise compliance solutions. With training in data science, machine learning and Microsoft platforms, he integrates both technical and governance perspectives into his facilitation.

In WSQ AI for IT Security, he places particular emphasis on AI-assisted risk assessment and security governance, showing learners how to evaluate potential risks and safeguard organisational data. Participants use AI to support data privacy policies and lifecycle management, to discover, classify and protect sensitive data, and to govern data access and transfer. They also apply AI to compliance monitoring and data breach investigation. His text classification experience helps make the sensitive-data topics concrete, while his enterprise compliance background keeps sessions grounded in practical use cases, so the skills transfer readily into real business contexts.

Sanjiv Venkatram is a consultant and ACTA-certified trainer specialising in business intelligence, data analytics and Microsoft enterprise platforms. His expertise lies in helping organisations adopt Microsoft platforms for data governance and information protection, and across manufacturing, finance and education he has delivered projects including Power BI dashboards, KPI frameworks and compliance reporting solutions. He is CEO of Prudentia Consulting, an organisation committed to promoting the active use of the Microsoft platform, and has previously worked at Microsoft across the US and APAC, Cognizant, Yazaki North America and Oracle.

In this WSQ course, Sanjiv focuses on applying AI to sensitive data discovery, classification and data loss prevention. Learners begin with AI-assisted data privacy policies and lifecycle management, then use AI to discover, classify and protect sensitive data, and apply AI-powered controls to data access, transfer and security governance. The final topic covers AI-assisted compliance monitoring and data breach investigation. His experience of building compliance reporting and KPI frameworks helps learners connect security controls to measurable governance outcomes. His teaching emphasises hands-on practice and workplace application, preparing participants to use AI to protect organisational data and manage compliance requirements effectively.

Kishan Raaj is an ACTA-certified ICT consultant with expertise in data science, enterprise IT and cloud solutions. He has delivered end-to-end IT projects involving security, compliance and automation, working with tools such as Python, SAP S/4HANA and Microsoft Azure. This combination of data science skills and hands-on project delivery in security and compliance gives him a practical view of how AI can support the protection of organisational data. His sessions are interactive and technically rigorous, and he focuses on skills that learners can apply directly in their own organisational environments.

In WSQ - AI for IT Security, Kishan guides learners in using AI to analyse security logs, investigate potential incidents and produce clear security reports. The course moves through AI-assisted data privacy policies and lifecycle management, AI for sensitive data discovery, classification and protection, and AI-powered data access, transfer and security governance. It concludes with AI-assisted compliance monitoring and data breach investigation, where his experience with security and compliance projects helps learners connect the tools to real organisational requirements. Participants leave able to use AI to identify and assess threats, support security monitoring and respond to incidents more effectively across their IT environment.

Alec Tan is an ACTA-certified trainer with strong experience in IT consulting, systems integration and pre-sales engineering. He has worked with organisations across sectors to design and implement secure Microsoft-based solutions aligned with their business needs, giving him a practical understanding of how security controls, data governance and access management operate in real IT environments. In his security training, Alec focuses on using AI to monitor security activity, manage insider risk and implement data governance and access-control practices, and his sessions are applied and scenario-driven.

In AI for IT Security, Alec brings this solutions background to the data protection side of cybersecurity. Learners use AI to support data privacy policies and lifecycle management, discover and classify sensitive information, and strengthen controls over data access, transfer and security governance. The course then moves into AI-assisted compliance monitoring and data breach investigation, where participants analyse security logs, identify unusual patterns and generate recommended remediation actions. Through realistic scenarios, participants build confidence in both the theory and the practice of applying AI tools to identify, assess and respond to threats, and leave with workflows they can adapt to their own organisation's IT environment.