Cyber Security

AI Security Practitioner (AISEC-P)

The AISEC-P Certification provides the knowledge to sift through information, separating facts from the noise and understanding what’s behind the excitement of AI. It gives you an understanding of what hype is and what isn’t and, more importantly, where AI is going.

Duration 3 Days
Fee - Virtual Instructor-Led $2,950 + GST
Exam Online Exam Voucher
Fee - Face-to-face Training $3,250 + GST
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Upcoming Course Dates

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Location	Date	Time
Virtual Instructor-led Training \| AEST	6 - 8 May 2026	09:00 am - 05:00 pm	Individual/Self-Funding Business or Government
Virtual Instructor-led Training \| AEST	12 - 14 August 2026	09:00 am - 05:00 pm	Individual/Self-Funding Business or Government
Virtual Instructor-led Training \| AEDT	9 - 11 November 2026	09:00 am - 05:00 pm	Individual/Self-Funding Business or Government

Overview

It explains the problems that can occur when AI isn’t properly managed and the approaches adversaries take to attack AI. It also lets you understand and set up the guardrails to ensure your business can use AI safely and responsibly. The course provides real hands-on experience for applying AI security.

Our Trainers Make the Difference

Dr Malcolm Shore

Malcolm is the Chief Technology Officer at Outpace and an adjunct PhD supervisor at Deakin University.
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Learning Outcomes

On completing the AISEC-P Certification Course exam, you will gain competence in managing AI systems securely, safely, and responsibly. This includes understanding the underlying technology on which Generative-AI models and proactively identifying risk and security requirements for AI model deployments.

AI Security Knowledge

You will know the underlying technologies used to build AI models and understand the AI development lifecycle. You will know about the threats affecting AI and the controls you need to mitigate the risks.

AI Security Skills

You will be skilled in applying controls to AI systems and assessing the effectiveness of controls built into AI systems. You will be able to assess the risk, test and audit an AI system.

Who Should Attend

The AISEC Certification Course is suitable for anyone with an IT background who wants to gain a comprehensive understanding of the secure, safe, and responsible use of AI. It would particularly suit risk and security leaders and professionals who want to extend their skills into the AI field.

Typical roles would include:

IT professionals
Security risk analysts
SOC analysts
Penetration testers

Prerequisites

The AISEC course is designed for IT professionals. A working knowledge of AI systems and an understanding of basic Python coding will be an advantage.

Course Contents

Domain 1: AI Introduction

Understand AI ethics – ethics plays a big part in AI.
Understand the principles of AI.

Domain 2: AI Technology

Understand the history and basic concepts of AI.
Be familiar with the structure of AI models.
Learn how to run tokenization and embedding for an AI model.
Understand the way in which data is used to train and enhance AI models.
Learn how to run AI models locally, from the marketplace repository, and via online services.
Learn how to run AI models programmatically.

Domain 3: AI Risk Management

Understand the threats to AI.
Learn how to use various prompt injection techniques to extract sensitive data from a model.
Learn how to inject a backdoor into an AI Model and “pop a shell”.
Learn how to manipulate an image to defeat image classification.
Apply AI risk management based on the NIST AI Risk Management Framework.

Domain 4: AI Governance

Understand AI governance. This covers the overall approach to the governance of AI
Understand the conceptual AI architecture and how to develop an AI information architecture
Understand and review an AI policy document.

Domain 5: AI Controls

Introduce AI controls. This introduces the set of key controls used to protect AI systems.
Learn how to apply Guardrails. This section describes typical design patterns.
Red Teaming for AI. This describes using scanners to test AI models
Learn how to use a variety of AI model scanners
Logging and Monitoring for AI.

Domain 6: AI Agents

Understand the principles of agentic AI
Understand Agentic AI mesh
Use the smolagent framework to develop an AI agent
Assess the security implications of AI agents

Domain 7: AI Labs

Hands-on with AI technology
Hands-on with Prompt and thought injections
Hands-on with Guardrails and scanners
Hands-on with Agentic AI

Trainer was outstanding! Speaking a previous trainer and assessor I could not recommend him enough. Outstanding in charisma and material presentation.
Was able to talk to all points with relevant expansion when required, answering any questions and provided relevant applications and examples.

Live Virtual Training | 2024

Testimonial

CSF+P Cyber Security Foundation+Practitioner

Inclusions

Course fee includes:

Course workbook (Digital copy)
Supplementary materials (Digital copy)
LAB Access
Certification exam

Exam Format

The AISEC-P exam is a two-part online exam.

This includes a multiple-choice theory exam covering the required topics, plus four hands-on assessments designed to simulate the process of designing secure AI and assessing threats.

The multiple-choice exam consists of:

30 questions
Multiple choice and single answer
1 hour
Pass mark 75%

Examination Resit Options

Should a candidate fail either the multiple-choice exam or the assessments, they will be entitled to one free resit. However, as the course material will be updated to take into account developments in AI, resits should be taken as quickly as practicable.

Certification Levels

Candidates passing the multiple choice exam will be awarded the AI Security Level 1 Practitioner Certificate (AISEC-P). Candidates who pass both the multiple-choice exam and at least three of the four assessments will be awarded the AI Security Level 2 Certificate (AISECP+).

ALC is an official Training Provider for the AI Security Practitioner (AISEC-P) by Outpace.