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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

4 Review(s) | Add Your Review

This course equips participants with essential knowledge and practical skills to secure autonomous AI agents operating across business systems, data sources, digital tools, and multi-step workflows. Learners will examine how platforms such as OpenClaw, Hermes Agent, and Paperclip enable AI agents to perform tasks, use tools, retain context, coordinate work, and collaborate within multi-agent environments.

Participants will explore security risks associated with autonomous agents, including prompt injection, malicious instructions, excessive permissions, confidential data exposure, unsafe tool execution, identity misuse, compromised memory, unauthorised system changes, and uncontrolled agent-to-agent communication. They will learn to assess the potential business impact of agent actions and identify vulnerabilities throughout the agent lifecycle.

The course covers practical safeguards such as identity and access management, least-privilege permissions, isolated execution, tool allowlists, secure credential handling, memory protection, action approval, activity logging, output validation, and emergency shutdown procedures. Learners will apply these controls to OpenClaw and Hermes Agent workflows and establish governance measures for coordinating and supervising multiple agents with Paperclip.

Through hands-on scenarios, participants will configure secure agent workflows, assess agent behaviour, investigate suspicious activities, respond to incidents, and improve security controls. Emphasis is placed on human oversight, accountability, privacy, transparency, ethical use, and compliance with organisational policies.

By the end of the course, learners will be able to evaluate risks and implement security controls for autonomous AI agents, enabling organisations to adopt OpenClaw, Hermes Agent, and Paperclip more safely and responsibly.

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 Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.

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: Autonomous AI Agent Fundamentals with OpenClaw and Hermes Agent

Topic 2: Securing AI Agent Tools, Data, Memory and Multi-Agent Workflows

Topic 3: AI Agent Governance, Risk Management and Security Monitoring with Paperclip

Written Exam
Practical Exam

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

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:

TBD

Hardware: Window or Mac Laptops

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

Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in data analytics, machine learning, and AI applications. He has extensive hands-on experience developing predictive models, RShiny dashboards, and deep learning solutions using R, Python, TensorFlow, and Keras. With a strong professional background in healthcare, finance, and customer analytics, Dwight brings an applied perspective to teaching AI, focusing on both the opportunities and risks of emerging technologies.

Review

Customer Reviews (4)

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

N/A (Posted on 8/26/2026)

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

Very useful course to learn how to use AI responsibly, ethically and with proper governance. (Posted on 8/26/2026)

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

Very useful information and attuned to what is in ISO 42001 which is the ISO for AI. (Posted on 8/26/2026)

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

Truly appreciate that the course content are highly relevant, very up to date on how AI is progressing. Dr Alfred is a true AI applied practitioner himself and hence he teaches with true substance. Which such a course depth may not be well appreciated by a broader audience, it is excellent in the context of advanced practitioners. Keep up the good work! (Posted on 8/26/2026)