---
url: "https://xcademia.com/courses/ai-security-fundamentals"
title: AI Security Fundamentals
description: "Learn AI security risks, model vulnerabilities, and governance in a mentor-led course with practical scenarios for enterprise protection."
publishedAt: "2026-03-23T09:21:10.034319+00:00"
updatedAt: "2026-04-07T11:16:23.695326+00:00"
type: course
code: "CYB-0106"
level: Foundation
duration_days: "2"
track: AI Security
category: "Cybersecurity & Ethical Hacking"
credential_tier: tier1
price_gbp: "1799"
---

# AI Security Fundamentals

> Understand the AI threat landscape, model vulnerabilities, and data security risks. Learn through mentor-led sessions and practical scenarios to secure AI systems responsibly.

## Overview

As artificial intelligence becomes embedded across enterprise systems, understanding its security risks is critical for IT and security professionals. This course introduces the key threats facing AI systems, including adversarial attacks, data poisoning, and model vulnerabilities, providing a structured foundation in AI security.

Through mentor-led sessions and practical scenarios, learners explore how attackers target AI pipelines and how organisations can mitigate these risks. The course also introduces governance frameworks, ethical considerations, and secure development practices aligned with responsible AI adoption.

By the end of the programme, participants will have a clear understanding of how to identify, assess, and manage risks in AI systems. This prepares learners to support secure AI implementations and contribute to organisational AI governance strategies.

## Prerequisites

- Basic IT or cybersecurity knowledge
- Familiarity with AI concepts
- Interest in risk and governance

## What you will learn

- Analyse AI threat landscapes
- Evaluate model vulnerabilities and risks
- Implement basic AI security controls
- Analyse data-related AI risks
- Communicate AI governance principles
- Evaluate secure AI deployment strategies

## Skills you will gain

- AI security fundamentals
- Threat analysis basics
- Model vulnerability awareness
- Data security risks
- AI governance basics
- Risk assessment techniques

## Career progression

- Security Analyst
- AI Risk Analyst
- IT Auditor
- SOC Analyst
- AI Governance Associate

## Curriculum

1. **Module 1: AI Fundamentals for Security**
   - AI/ML concepts overview
   - AI lifecycle and data pipelines
   - Where security risks arise
2. **Module 2: AI Threat Landscape**
   - Types of AI attacks
   - Threat actors and motivations
   - Real-world AI security incidents
3. **Module 3: Model Vulnerabilities**
   - Adversarial examples overview
   - Model inversion risks
   - Membership inference attacks
4. **Module 4: Data Security in AI**
   - Data poisoning concepts
   - Training data risks
   - Data integrity and privacy
5. **Module 5: Securing AI Systems**
   - Secure AI development practices
   - Risk mitigation strategies
   - Monitoring AI systems
6. **Module 6: AI Governance & Compliance**
   - Responsible AI principles
   - Governance frameworks
   - Risk and compliance basics
7. **Module 7: Practical Scenarios & Case Studies**
   - AI attack simulations (safe analysis)
   - Risk assessment exercises
   - Enterprise security scenarios

## Exam & certification

You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**Do I need prior AI experience?**

Basic familiarity with AI concepts is helpful but not mandatory.



**Is this course technical or governance-focused?**

It balances both technical risks and governance considerations.



**Will I learn how to hack AI systems?**

No, the course focuses on authorised security analysis and defence strategies.



**What roles can I move into after this course?**

Security analyst, AI risk analyst, and governance roles are common paths.



**Are practical exercises included?**

Yes, the course includes safe, mentor-led practical scenarios and case studies.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | CYB-0106 |
| Duration | 2 days |
| Level | Foundation |
| Track | AI Security |
| Category | Cybersecurity & Ethical Hacking |
| Credential tier | tier1 |
| Price (GBP) | £1799 |

---

## About this content

This Markdown course profile is the citation-grade twin of [AI Security Fundamentals](https://xcademia.com/courses/ai-security-fundamentals). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

When citing or quoting, please attribute *Xcademia* and link back to the source URL above.

- Source: https://xcademia.com/courses/ai-security-fundamentals
- Publisher: Xcademia — https://xcademia.com
- Catalogue index: https://xcademia.com/llms-full.txt