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WSQ - AI Security for Autonomous AI Agents

Sessions 1 day
Duration 8 hrs
Level Beginner
Assessment 1 hr

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: Generative AI Principles and Applications
TSC Code: ICT-INT-0052-1.1

Funding for this course is valid from 17 Nov 2025 to 16 Nov 2027. Register and complete the course within this period to qualify for funding support.

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

LO1: Demonstrate generative and discriminative AI concepts and applications relevant to customer service and hospitality management.
LO2: Apply prompt engineering techniques and analyse output variations based on model training data and outputs to improve generative AI performance.
LO3: Identify ethical risks and analyse bias in AI-generated content based on model training data and outputs.

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 Security for Autonomous AI Agents

Course Code: TGS-2025060473

WSQ
SFC
PSEA
SFEC
Absentee Payroll
MCES

6 Review(s) | Add Your Review

AI security for AI agents starts with one uncomfortable fact: an AI agent cannot reliably tell your instructions from an attacker's. In this hands-on course you attack a real Hermes Agent three ways, stop it each time, then write the policy and the incident report your organisation needs.

You begin with how always-on AI agents work and where they already sit in business: OpenClaw, Hermes Agent, Google's Gemini agent, Meta Muse, OpenAI dots, Grok Bot and Manus Cue, compared side by side. You set up an always-on assistant and check its work against the source.

Then you break one. On a free model you plant a prompt injection in a customer review, jailbreak the agent with a role-play request, and watch an ordinary request cause a data leak of personal data covered by the PDPA. You fix each attack with a stronger model, a guardrail, or a check written in code, and you measure the difference.

Finally you govern AI agents with the five principles of AI security: Data Control, Permission Control, Human in the Loop, Traceability and Right-Sized Models, linked to IMDA's Model AI Governance Framework for Agentic AI, OWASP and the PDPA. You build an AI Governance Policy through an interview prompt and an AI Incident Report from mock agent traces.

No coding is needed. Every lab comes as one folder with mock data, scripts and a PDF of prompts.

Full Fee ₵500.00 Before GST

GST ₵45.00 9% of fee

Baseline Nett ₵295.00 SG/PR age 21+ · 50% funded

MCES / SME Nett ₵195.00 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: Human-AI Collaboration and Always-On AI Agents

Topic 2: AI Agent Vulnerabilities: Prompt Injection, Jailbreak and Data Leak

Topic 3: AI Governance and Security: The Five Principles of AI Security

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-2025060473.
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 Security Engineer
Cybersecurity Analyst
Security Operations Engineer
AI Governance Manager
Risk and Compliance Officer
IT Security Manager
AI Agent Developer
Automation Engineer
Solutions Architect
DevOps Engineer
Identity and Access Management Specialist
Data Protection Officer
IT Operations Manager
Systems Administrator
Incident Response Analyst
Technology Risk Consultant
Digital Transformation Lead
Enterprise Architect
Machine Learning Engineer
AI Adoption Consultant

Trainers

Giving an AI agent access to tools, data and other agents is something Dr. Alfred Ang does in his own systems, which is why he treats agent security as an engineering discipline rather than a policy appendix. He is CompTIA Security+ certified, holds the Certificate in AI Ethics and Governance (Senior Professional) from NTU, and is an AWS Certified Solutions Architect, AI Practitioner and Cloud Practitioner as well as a Microsoft Certified AI Engineer Associate (AI-102). A full-stack AI developer and Agentic AI solution architect, he designs multi-agent systems with frameworks such as the Claude Agent SDK, OpenAI Agents SDK, Google Gemini Agent SDK, Microsoft AutoGen, CrewAI and n8n, with a working focus on architecture, security and observability. He serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd and is the founder of Tertiary Courses. His GitHub portfolio of more than 300 public repositories shows the controls this course examines: hermes-video-pipeline runs a Hermes Agent that researches, scripts, renders and verifies videos before publishing; n8n-hrportal protects an OpenAI HR chatbot with input and output guardrails and routes leave approvals to a human manager; and his skills repository includes a secret scanner for catching exposed keys. Earlier, he worked in the defence, electronics and semiconductor industries and earned a PhD in Electrical Engineering from NUS and an MSc in Electrical and Electronic Engineering from NTU.

In WSQ AI Security for Autonomous AI Agents, Dr. Ang helps participants understand exactly how agents can go wrong and what to put in place before they do. The first topic covers autonomous agent fundamentals with OpenClaw and Hermes Agent, examining how agents use tools, retain context, coordinate work and collaborate in multi-agent environments, and his hands-on Hermes experience lets him show where the attack surface actually lies. The second topic addresses securing agent tools, data, memory and multi-agent workflows, working through prompt injection, malicious instructions, excessive permissions, confidential data exposure, unsafe tool execution, identity misuse, compromised memory and unauthorised system changes. He demonstrates practical controls such as least-privilege tool access, input and output guardrails, secret scanning, verification steps and human approval for high-impact actions, patterns he uses in his own automations. The final topic covers agent governance, risk management and security monitoring with Paperclip, including how to log agent activity, review behaviour and respond when something unexpected happens. His AI ethics and governance training ensures that accountability and oversight are discussed alongside technical controls. As an ACTA-certified trainer and DACE-certified curriculum developer, he combines threat scenarios with guided exercises, so participants practise spotting and closing gaps rather than only reading about them. Learners leave with a practical checklist for deploying autonomous agents safely in their organisation. To explore the agent and security projects behind this course, explore 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 Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in machine learning, data analytics and AI applications. He teaches 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 in Python and R with TensorFlow and Keras, and his professional background spans healthcare, finance and customer analytics. Dwight also holds a Masters in Education from NTU and has eight years of teaching experience in international schools in Singapore and overseas.

In WSQ AI Security for Autonomous AI Agents, Dwight connects his applied AI background and his focus on technology risk to the security of agentic systems. He introduces autonomous AI agent fundamentals using platforms such as OpenClaw and Hermes Agent, then guides learners in securing agent tools, data, memory and multi-agent workflows. The course closes with AI agent governance, risk management and security monitoring with Paperclip. His emphasis on weighing benefits against risks helps participants assess where autonomous agents can safely operate. Learners leave able to identify agent security risks and apply practical controls across business systems and multi-step workflows.

Review

Customer Reviews (6)

Great understanding of AI security 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

Mohan shared a lot of things such as prompt injection, jailbreak, data leak and many others. Learnt quite a lot of things from him. Great understanding of AI security. (Posted on 11/10/2026)

Average Rating: 5.0/5 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

Mohan shared a lot of things such as prompt injection, jailbreak,data leak and others more. Learn quite a lot things form him. Great understand about AI security . (Posted on 11/9/2026)

Average Rating: 5.0/5 Review by Course Participant/Trainee