NUS
 
ISS
 
NUS ISS

Deploying Safe and Secure AI Agents

Enabling safe, reliable, and enterprise-ready AI adoption

Overview

Part of -
Duration 2 days
Course Time
Enquiry Please contact ask-iss@nus.edu.sg for more details.

As organisations adopt Artificial Intelligence (AI) and Large Language Models (LLMs), the risk landscape expands rapidly ranging from prompt injection and data leakage to system misuse and compliance failures.

AI agents go beyond traditional assistants by interacting with tools, data, and external systems. This increased capability introduces a larger attack surface and requires a new approach to security.

This course equips you to build trustworthy, production-ready AI agents by applying:

  • Threat modelling and adversarial thinking
  • Guardrails and defence-in-depth strategies
  • Evaluation, validation, and continuous monitoring
  • Secure architecture and deployment practices

You will learn how to move from experimental AI usage to secure, governed AI systems that can operate safely in real-world environments.

This course is part of the Software Systems series offered by NUS-ISS.

Upcoming Classes

Class 1: 14 to 15 September 2026
Duration: 2 Days
Mode of Conduct: Face-to-Face only
Time: 9:00am to 5:30pm

Class 2: 1 to 2 October 2026
Duration: 2 Days
Mode of Conduct: Face-to-Face only
Time: 9:00am to 5:30pm

Register

Registration Instructions

Self-sponsored Participants

  • Register for the course by clicking on the "Register Now" button above
  • You may refer to the User Guide for Learner

Company-sponsored Participants

  • You will have to be registered for the course by someone from your company who has an account on the LifeLong Learning Portal (L³AP)
  • The person in-charge may register you for the course by:
    • Generating a corporate registration link for you to register for the course
      • After the link is generated, you must:
        1. Log in to L³AP by clicking on the "Register Now" button
        2. Click on the corporate registration link after logging in
      • If you do not follow the above instructions, you will be registered for the course as self-sponsored
    • Registering you for the course backend
      • You will still be required to log in to L³AP and complete your registration by clicking on the "Register Now" button above
  • You may refer your HR/L&D POC to the User Guide for Company

Key Takeaways

By the end of the course, you will be able to:

  • Design guardrails for AI agents
  • Evaluation and monitoring agent behaviour
  • Apply secure agent architecture patterns
  • Understand governance and compliance practices for secure deployment


Who Should Attend

  • Software Engineers and Developers
  • DevOps and Platform Engineers
  • Technical Leads, Architects, and Engineering Managers


Pre-requisites

  • Familiarity with Python and Bash scripting
  • Basic understanding of common application attacks and vulnerabilities
  • Basic understanding of Large Language Models (LLMs)


What to Bring

No printed copies of course materials are issued.
Participants must bring their laptops (participants will not be able to complete the workshop with their tablets) with power charger to access and download course materials.

If you are bringing a laptop, please see below for the tech specs:

Minimum

Recommended

Computer and processor

1.6 GHz or faster, 2-core Intel Core i3 or equivalent

1.8 GHz, 2-core Intel Core i3 or equivalent

Memory

4 GB RAM

8 GB RAM

Hard Disk

256 GB disk size

Display

1280 x 768 screen resolution (32-bit requires hardware acceleration for 4K and higher)

Graphics

Graphics hardware acceleration requires DirectX 9 or later, with WDDM 2.0 or higher for Windows 10 (or WDDM 1.3 or higher for Windows 10 Fall Creators Update).

DirectX 10 graphics card for graphics hardware acceleration

Others

An internet connection – broadband wired or wireless

Speakers and a microphone – built-in or USB plug-in or wireless Bluetooth

A webcam or HD webcam - built-in or USB plug-in



What Will Be Covered

  • Analyse AI agent architecture and attack surfaces
  • Identify key attack techniques targeting AI agents
  • Recognise trust-related weaknesses in multi-agent architectures
  • Apply guardrail frameworks and validation techniques
  • Implement security controls for agentic systems


Fees & Subsidies

Fees for 2026

 Full FeeSingaporeans & PRs
(Self-Sponsored)
  Full course feeS$1,800.00S$1,800.00
  ISS Subsidy -S$180.00
  Nett Course FeeS$1,800.00S$1,620.00
  9% GST on Nett Course FeeS$162.00S$145.80

   Total Nett Course Fee Payable,       Including GST

S$1,962.00S$1,765.80

 

Note:

  1. All fees and subsidies are valid from January 2024, unless otherwise advised.
  2. From 1st January 2024, the GST will be increased to 9%.
  3. For corporate run, please contact us directly for further details.


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Certificate

The ISS Certificate of Completion will be issued to participants who have attended at least 75% of the course and pass the required assessments.


Preparing for Your Course

NUS-ISS Course Registration Terms and Conditions

Find out more.

NUS-ISS and Learner’s Commitment and Responsibilities

Find out more.

WIFI Access

WIFI access will be made available to participants.

Venue

NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615

Click HERE for directions to NUS-ISS

In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

Course Confirmation

All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

General Enquiry

Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.



Course Resources

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