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WSQ - AI Agent Cybersecurity

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: Cyber Security
TSC Code: ACC-ICT-5002-1.1

Funding for this course is valid from 28 Feb 2025 to 27 Feb 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: Establish organizational cybersecurity policies and procedures to protect information confidentiality and integrity.
LO2: Ensure adherence to cybersecurity policies and procedures in response to evolving security developments.
LO3: Continuously improve cybersecurity policies and procedures to enhance organizational security measures.

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 Agent Cybersecurity

Course Code: TGS-2025053228

WSQ
SFC
PSEA
SFEC
Absentee Payroll
MCES

10 Review(s) | Add Your Review

AI Agent Cybersecurity equips participants with practical skills to deploy and manage autonomous AI agents for cybersecurity operations using OpenClaw and Hermes Agent. Learners will explore how AI agents can monitor security events, analyze system and network logs, identify suspicious behaviour, assess vulnerabilities, and support faster incident investigation and response.

Through hands-on activities, participants will configure agents with appropriate tools, skills, memory, context, and permissions to perform security-related tasks. They will develop agentic workflows for threat intelligence analysis, vulnerability assessment, phishing detection, security reporting, risk prioritization, and remediation planning. The course also covers human-in-the-loop approvals and multi-agent collaboration for coordinating complex security operations.

Emphasis is placed on securing the AI agents themselves through access controls, sandboxing, least-privilege permissions, secure tool integration, prompt-injection defence, sensitive-data protection, audit trails, and operational guardrails. Participants will learn to validate agent findings and prevent unsafe or unauthorized actions. By the end of the course, learners will be able to use OpenClaw and Hermes Agent responsibly to automate repetitive security tasks, strengthen threat detection, and improve organizational cyber resilience.

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 $900.00 Before GST

GST $81.00 9% of fee

Baseline Nett $531.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $351.00 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: Developing Cybersecurity Policies with OpenClaw and Hermes Agents

Topic 2: AI Agent Monitoring, Compliance and Response to Emerging Threats

Topic 3: Continuous Cybersecurity Improvement with Autonomous AI Agent

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:

OpenClaw – free, open source; requires Node.js 22 or later
Node.js (LTS) – free
Hermes Agent desktop app – free

Hardware: Mac or Linux laptop, or a Windows laptop with WSL2 enabled (OpenClaw runs on Windows only through WSL2)

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-2025053228.
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

Cybersecurity Specialist
IT Security Analyst
Security Operations Center (SOC) Analyst
AI Security Engineer
AI Agent Developer
Automation Engineer
Threat Intelligence Analyst
Vulnerability Analyst
Incident Response Analyst
Network Security Engineer
Information Security Officer
Security Compliance Auditor
IT Governance and Risk Specialist
Security Administrator
Cloud Security Engineer
DevSecOps Engineer
IT Manager
Digital Transformation Specialist

Trainers

Dr. Alfred Ang builds autonomous agents and secures the systems they run on, which is the combination this course demands. He is CompTIA Security+ certified, holds a Certificate in AI Ethics and Governance (Senior Professional) from NTU, and is an AWS Certified Solutions Architect and Microsoft Certified AI Engineer Associate (AI-102). As founder of Tertiary Courses and Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd, he is a full-stack AI developer and Agentic AI solution architect whose work spans system architecture, security, observability and multi-agent design with frameworks such as n8n, Claude Agent SDK, OpenAI Agents SDK, Microsoft AutoGen and CrewAI. His hermes-video-pipeline project uses a Hermes Agent, triggered by a webhook, to research, script, render, verify and publish videos autonomously, giving him direct experience of what an agent can do once it has tools and permissions. Security features recur across his GitHub work: tertiarytraining provides browser-based Kali Linux, Ubuntu and WordPress lab environments with role-based access, n8n-hrportal guards its HR chatbot with input and output guardrails, itsupport includes a credential-leak guard and a strict Content Security Policy, and his Claude Code skills collection includes a secret scanner. He holds 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, and has worked in the defence, electronics and semiconductor industries. He is also a certified PMP and ITIL practitioner.

In WSQ - AI Agent Cybersecurity, Dr. Ang shows security and IT professionals how to deploy and manage autonomous AI agents for cybersecurity operations using OpenClaw and Hermes Agent. The first topic develops cybersecurity policies with these agents, configuring them with appropriate tools, skills, memory, context and permissions so that their actions match the organisation's policies. The second topic covers monitoring, compliance and response to emerging threats, with agents analysing system and network logs, identifying suspicious behaviour, supporting phishing detection and vulnerability assessment, and preparing reports that speed up investigation. The third topic builds a cycle of continuous improvement, where agent findings feed back into controls, risk prioritisation and updated playbooks. Throughout, he treats the agents themselves as part of the attack surface: least-privilege permissions, guardrails against malicious instructions, logging of every action and a human decision point before anything consequential happens. His Security+ grounding and AI governance training shape that discipline, and his lab-environment work informs his emphasis on safe, isolated environments for practice. Sessions are hands-on, with learners configuring agents, running them against realistic security scenarios, reviewing their outputs critically and refining their workflows. As an ACTA-certified trainer and DACE-certified curriculum developer, he keeps the material practical for security analysts, IT administrators and managers responsible for security operations. This WSQ course suits professionals who want to put agentic AI to work in defence rather than leave it to attackers. To see the agent and security-focused projects he has built, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Achim Ludwig Dietzenbach is a cybersecurity and network security professional with international experience in IT infrastructure, cyber defence and systems management. A former Security Operations Centre Analyst at IBM Singapore, he has worked extensively with global cybersecurity platforms such as CrowdStrike, Proofpoint, QRadar and Splunk, and his IT systems engineering background at Siemens and UBS has given him deep expertise in incident response, risk management and network protection. He holds a Bachelor of Science (First Class Honours) in Network Computing from Oxford Brookes University and the CISSP, CEH and CC (Certified in Cybersecurity) certifications, and is an ACLP-certified trainer.

In this WSQ course, Achim focuses on deploying autonomous AI agents for security event monitoring, log analysis and vulnerability assessment, using OpenClaw and Hermes Agent. Learners develop cybersecurity policies with these agents, apply AI agent monitoring, compliance checking and response to emerging threats, and then use autonomous agents to drive continuous cybersecurity improvement. His real-world experience in threat detection and incident management grounds each topic in how security operations actually work. Learners benefit from his structured, hands-on approach to building agentic security workflows and implementing effective guardrails, leaving equipped to protect enterprise environments against evolving threats.

Danny Teo is a cybersecurity and IT infrastructure consultant with experience in systems administration, endpoint protection and enterprise network management. A certified Microsoft trainer, he has delivered professional courses in security operations, cloud administration and IT compliance for organisations across Southeast Asia. He is an ISC2 Authorised Instructor and CISSP who has worked with DBS Bank as a Cloud Infrastructure Engineer and served as a Registered Management Consultant specialising in digital transformation and cybersecurity governance. He holds a Bachelor of Engineering in Electrical and Electronics from Nanyang Technological University and credentials including CEH, CCSP, CCSK and ACTA.

In WSQ - AI Agent Cybersecurity, Danny helps learners build competence in secure agent design, cloud security and risk management. Participants develop cybersecurity policies with OpenClaw and Hermes agents, use AI agents for monitoring, compliance and response to emerging threats, and apply autonomous agents to continuous cybersecurity improvement. His sessions combine theory with practical agentic security simulations, preparing learners to detect, analyse and respond to incidents with human-in-the-loop oversight. Learners gain the confidence and technical foundation to use agents for security operations responsibly.

Agus Salim is an IT solutions and cybersecurity professional with more than 10 years of experience in project management, IT solutions management and systems integration, in both waterfall and agile methodologies. He began his career as a web developer before moving into business analysis and project management, and has worked with organisations such as Citi and Check Point Software Technologies, with hands-on experience of Check Point next generation firewalls. An ACLP-certified trainer, he holds PMP, CompTIA Security+, CEH and AWS Certified Cloud Practitioner.

Agus's expertise lies in cybersecurity and IT systems rather than in AI agent development, and he brings that security grounding to WSQ - AI Agent Cybersecurity. His experience with firewalls, multi-cloud support and secure system design helps learners understand what autonomous agents should monitor and where their permissions must stop. He guides participants through developing cybersecurity policies with OpenClaw and Hermes agents, agent monitoring, compliance and response to emerging threats, and continuous cybersecurity improvement with autonomous agents. Learners leave able to deploy and manage AI agents for security operations, with sound judgement about oversight and governance.

Praveen Dayal is a senior IT leader and consultant with expertise in cybersecurity, governance and enterprise systems management. He holds multiple global certifications, including CISA, CISM, CRISC, PMP, PMI-ACP and ASM, reflecting broad expertise in risk governance, project delivery and agile practices. His career includes managing multimillion-dollar IT programmes for financial services, manufacturing and government institutions, as well as leading digital transformation programmes and enterprise system implementations across multiple industries.

As an ACLP-certified trainer, Praveen has designed and delivered WSQ programmes in Agile Project Management, Cybersecurity Governance and IT Risk Management. In AI Agent Cybersecurity, he brings this governance and risk perspective to the deployment of autonomous AI agents for security operations with OpenClaw and Hermes Agent. Learners develop cybersecurity policies with AI agents, use agents for monitoring, compliance and response to emerging threats, and apply autonomous agents to continuous security improvement. His training style blends theory with simulations and practical scenarios, so participants can apply their skills immediately. Learners leave able to use AI agents to strengthen security operations while maintaining the compliance, oversight and control that their organisations require.

Review

Customer Reviews (10)

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

Dr Muhammed Siraj is very acknowledgeable and is not hesitant to share it (Posted on 8/8/2026)

Will Recommend 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

need to allocate extra time incase troubleshooting is needed if there is problem with the software compatibility. (Posted on 6/18/2019)

Will Recommend 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

1. Must well prepare and confirm which version of software and library used in this course. The participance can download and install from home before the training start.
2. Deep explanation on IoT MQTT platform must do better in practicals. Without understanding the terms and concept may cause the participance lost.
3. Node-RED too less cover in this course and need to improve. It's should be cover more due to the course title is Arduino IoT Training with Node-RED.

More hands-on and deep explanations on related course. (Posted on 6/18/2019)

Will Recommend 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

. (Posted on 5/21/2019)

Will Recommend 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

Raspberry PI image should be pre loaded with examples.

Since 1 day crash course, more important to demonstrate what Node Red can do rather than hands on. Instructor has achieved this.

Instructor's Node Red examples are excellent, however need to receive via email, so go back still to wait to receive and famaliarise with import... Hopefully same examples (Posted on 5/21/2019)