Cyber Security 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.
| Location | Date | Time | |
| Virtual Instructor-led Training | AEST | 4 - 6 June 2025 | 09:00 am - 05:00 pm | |
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.
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.
Malcolm is the Chief Technology Officer at Outpace and an adjunct PhD supervisor at Deakin University.
Read full bioOn 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.
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:
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.
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
AI Security Practitioner (AISEC-P) Course (3 Days)
Course fee includes:
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:
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.