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AI Security and Governance

Sessions 1 day
Duration 7.5 hrs
Level Beginner
Assessment NA

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.

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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.

AI Security and Governance

Course Code: C1440

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AI is now embedded in everyday business systems — chatbots answering customers, models scoring decisions, agents acting on live data — and each of those creates exposure that traditional security controls were never designed for. Prompt injection, data leakage through model inputs, unsafe tool access, unclear accountability when a model gets it wrong: these are governance problems as much as technical ones, and organisations that treat them as an afterthought find out the hard way.

In this hands-on 1-day course, you will work through the AI security and governance landscape end to end — the threats specific to AI and machine learning systems, how to secure models, data pipelines and autonomous agents, and how to build the governance layer around them: policies, approval gates, human oversight, audit trails and incident response. You will apply recognised frameworks and map them to the regulatory expectations that apply in Singapore and beyond.

You will leave with a practical AI risk assessment, a governance checklist and a control set you can take back to your own organisation — enough to answer "is our AI use safe, compliant and accountable?" with evidence rather than hope. Ideal for IT and security professionals, risk and compliance officers, data and AI practitioners, and managers responsible for AI adoption.

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - AI Security for Autonomous AI Agents

Course Fee

$350.00 (GST-exclusive)

$381.50 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time *

Sponsorship

Self-Sponsored
Employer-Sponsored

No. of Participants

Name(s) on Certificate *

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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 The AI Risk and Threat Landscape

How AI systems fail: technical, data and human factors
Attacks on AI: prompt injection, data poisoning, model extraction
Data leakage, privacy and confidentiality risks
Real-world AI security incidents and lessons learned

Topic 2 AI Governance Frameworks and Policy

Principles of responsible and trustworthy AI
Governance frameworks and standards
Regulatory expectations and compliance obligations
Writing AI usage policies that people follow

Topic 3 Securing Models, Data and Agents

Securing data pipelines and training data
Access control, identity and least privilege for AI systems
Guardrails for autonomous agents and tool use
Testing, red-teaming and evaluating AI systems

Topic 4 Assurance, Oversight and Response

Running an AI risk assessment
Human oversight and approval gates
Monitoring, logging and audit trails
Incident response and continuous improvement

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 Research Scientist
Data Analyst
Machine Learning Engineer
AI Technology Consultant
Business Intelligence Developer
AI Application Developer
AI Strategy Manager
Ethical AI Compliance Officer
AI Product Manager
AI Solutions Architect
Data Governance Specialist
AI Ethics Advisor
AI Implementation Specialist
Robotic Process Automation Engineer
Natural Language Processing Engineer
AI System Integrator
AI Policy Analyst
AI User Experience Designer
AI Security Specialist
Cloud AI Developer

Trainers

Dr Alvin Ang is a ACTA certified trainer. Dr. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally.

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.

Terence Ee is an experienced IT leader and consultant with more than 25 years of expertise in technology management, information systems, and digital transformation. He has served as Chief Information Officer at the Supreme Court of Singapore and Vice President of Information Systems at Senoko Energy, where he led major IT modernization projects. Since 2017, he has worked as an independent consultant and ACLP-certified trainer, specializing in guiding SMEs and enterprises in adopting future-ready digital platforms. As a WSQ-accredited trainer, Terence delivers programs in digital collaboration, IT governance, and productivity tools. His facilitation emphasizes case studies, simulations, and hands-on practice, enabling learners to apply modern IT systems such as Microsoft 365 and Google Workspace to improve collaboration and business efficiency. With his leadership background and deep IT expertise, Terence prepares learners to thrive in digitally transforming environments.