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WSQ - AI Security Governance for Businesses

Sessions 2 days
Duration 16 hrs
Level Beginner
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: Responsible AI and Generative AI Practices
TSC Code: ICT-INT-0055-1.1

Funding for this course is valid from 6 Jan 2026 to 5 Jan 2028. Register and complete the course within this period to qualify for funding support.

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

LO1: Analyse the societal impacts and ethical risks of biased AI algorithms across different cultural and minority contexts.
LO2: Evaluate ethical trade-offs in generative AI systems, balancing environmental, privacy, and framework considerations.
LO3: Develop ethical strategies and apply AI governance principles to promote fairness, transparency, and sustainability.
LO4: Implement responsible AI practices and champion transparency to reduce societal bias and ethical risks in deployment.

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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 Security Governance for Businesses

Course Code: TGS-2026061329

WSQ
SFC
PSEA
SFEC
Absentee Payroll
MCES

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This course equips business leaders, managers, governance professionals, and technology teams with the practical knowledge to establish an AI security governance framework for the responsible adoption of Generative AI and agentic AI. Participants will examine how these technologies introduce business risks relating to confidential data, inaccurate outputs, malicious instructions, excessive permissions, third-party integrations, automated actions, intellectual property, privacy, and regulatory compliance.

Learners will develop a structured governance framework covering AI policies, roles and responsibilities, risk ownership, acceptable-use requirements, AI system inventories, risk classification, approval processes, and human oversight. The course explains how governance controls can be applied across the AI lifecycle, from evaluating use cases and selecting vendors to deployment, monitoring, incident response, and system retirement.

Participants will also explore security controls for agentic AI, including identity and access management, least-privilege permissions, tool and data access restrictions, action approval, activity logging, output validation, and emergency suspension procedures. They will learn to assess AI solutions according to their business impact, data sensitivity, autonomy, and potential consequences.

Through practical business scenarios, learners will conduct AI risk assessments, define governance controls, develop organisational guidelines, and create an implementation roadmap. Emphasis is placed on aligning AI adoption with business objectives while maintaining accountability, transparency, fairness, security, and compliance.

By the end of the course, participants will be able to design and implement a business-focused AI security governance framework that enables responsible innovation while reducing the risks associated with Generative AI and autonomous AI agents.

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 $1,000.00 Before GST

GST $90.00 9% of fee

Baseline Nett $590.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $390.00 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 Security Governance Foundations and Business Risks

Topic 2: Building an AI Governance Framework: Policies, Roles and Risk Ownership

Topic 3: Governance Controls Across the AI Lifecycle

Topic 4: Security Controls for Agentic AI, Risk Assessment and Implementation Roadmap

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

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-2026061329.
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

AI Ethics Officer
Responsible AI Strategist
Data Protection Officer
Governance, Risk & Compliance (GRC) Analyst
Information Security Manager
Policy Advisor (Technology & AI)
AI Governance Consultant
Risk Management Executive
Digital Transformation Manager
AI Product Manager
Technology Compliance Specialist
IT Risk and Controls Analyst
Innovation Manager
Third-Party / Vendor Risk Manager
Privacy and Data Governance Officer
Public Policy Manager (AI & Technology)
Business Strategy Consultant
Trust & Safety Specialist
AI Assurance and Audit Lead
Legal Counsel (AI & Technology Ethics)

Trainers

Dr. Alfred Ang approaches AI governance as someone who has to apply it to the systems he builds. He holds a Certificate in AI Ethics and Governance (Senior Professional) from NTU and is CompTIA Security+ certified, and his PMP, CSM and ITIL certifications give him a working knowledge of the project and service management frameworks that governance must fit into. As founder of Tertiary Courses and Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd, he leads agentic AI adoption and digital transformation initiatives, helping organisations move from experimentation to operational AI, and he works as a full-stack AI developer and Agentic AI solution architect with an emphasis on ethical AI governance and sustainable digital adoption. His public GitHub work shows governance controls in practice: n8n-hrportal combines human-in-the-loop manager approval with an HR chatbot protected by input and output guardrails, kacificerpr pairs DeepSeek agents with human-in-the-loop approvals for purchase orders and uses signed webhooks, and itsupport includes a credential-leak guard and a strict Content Security Policy. He also holds AWS Certified Solutions Architect and AI Practitioner and Microsoft Certified AI Engineer Associate (AI-102), so he understands how the models and cloud services being governed actually behave. He is also an IBM certified instructor for the AI Practitioners course. His academic background is a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU and a B.Sc (Hons) in Physics from NUS.

WSQ - AI Security Governance for Businesses gives business leaders, managers, governance professionals and technology teams a practical framework for adopting generative and agentic AI responsibly. Dr. Ang starts with governance foundations and business risks, examining how these technologies expose organisations to issues around confidential data, inaccurate outputs, malicious instructions, excessive permissions, third-party integrations, automated actions, intellectual property, privacy and regulatory compliance. The second topic builds the framework itself: AI policies, roles and responsibilities, risk ownership, acceptable-use requirements and an inventory of AI systems with risk classification. The third topic applies governance controls across the AI lifecycle, from selection and procurement through deployment, monitoring and retirement, and the fourth focuses on security controls for agentic AI, risk assessment and an implementation roadmap. Because he has designed approval steps and guardrails into his own agent systems, he can show what a control looks like in practice and what it costs in speed and convenience, which helps learners set proportionate rather than paralysing rules. His project and service management background informs the roadmap topic, where learners sequence quick wins and longer-term controls. Sessions are workshop-based: learners map risks for AI uses in their own organisations, draft policy clauses and assign ownership, then test their frameworks against realistic scenarios. As an ACTA-certified trainer and DACE-certified curriculum developer, he keeps technical concepts accessible for non-technical leaders. To see the governance controls in his projects, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Dwight Nuwan Fonseka is an ACLP-certified trainer and Head of Data Science at Plano Pte. Ltd., with deep expertise in data analytics, machine learning and AI applications. He is known for teaching AI from an applied perspective that focuses on both the opportunities and the risks of emerging technologies. His hands-on work includes developing predictive models and deep learning solutions with R, Python, TensorFlow and Keras, and his professional background spans healthcare, finance and customer analytics, sectors where confidential data must be protected. He also holds a Masters in Education from NTU and has eight years of teaching experience.

In WSQ AI Security Governance for Businesses, Dwight helps business leaders, managers and technology teams understand the risks that generative AI and agentic AI introduce, from confidential data exposure and inaccurate outputs to malicious instructions and excessive permissions. He covers AI security governance foundations, building a governance framework with policies, roles and risk ownership, and governance controls across the AI lifecycle, before addressing security controls for agentic AI, risk assessment and an implementation roadmap. Drawing on his practical data science work, he keeps the discussion grounded in how AI is actually used, so learners leave ready to support responsible AI adoption.