---
url: "https://xcademia.com/courses/llm-attacks-prompt-injection-jailbreaking"
title: "LLM Attacks: Prompt Injection & Jailbreaking"
description: "Learn LLM security, prompt injection, jailbreaking and AI defence strategies in this mentor-led practical training programme."
publishedAt: "2026-03-20T12:03:56.601949+00:00"
updatedAt: "2026-03-30T22:50:53.7265+00:00"
type: course
code: "AID-0075"
level: Practitioner
duration_days: "3"
track: AI Security
category: "Cybersecurity & Ethical Hacking"
credential_tier: tier1
price_gbp: "1999"
---

# LLM Attacks: Prompt Injection & Jailbreaking

> Understand LLM attack techniques including prompt injection, jailbreaking and model risks in real-world systems. This mentor-led programme uses practical scenarios to test, analyse and strengthen AI system security.

## Overview

Large Language Models (LLMs) introduce new security risks that organisations must understand and manage. Attack techniques such as prompt injection and jailbreaking can lead to data leakage, policy bypass, and unintended system behaviour.

This programme focuses on understanding common LLM attack patterns including direct and indirect prompt injection, jailbreak techniques, model extraction risks, and model poisoning concepts. Participants learn how these attacks occur and how to design controls to prevent and detect them.

Delivered as a mentor-led programme using practical scenarios, this course provides hands-on experience in analysing attack techniques within authorised testing environments and implementing safeguards to strengthen AI system security.

## Prerequisites

- Basic understanding of AI or LLM concepts.
- Familiarity with cybersecurity fundamentals.
- Interest in AI security and risk management.

## What you will learn

- Analyse LLM attack patterns and risks
- Evaluate prompt injection and jailbreak techniques
- Implement controls to mitigate AI security threats
- Design secure LLM-based systems
- Communicate risks and mitigation strategies
- Evaluate system resilience against attacks

## Skills you will gain

- Prompt injection analysis
- Jailbreak detection techniques
- AI threat modelling basics
- LLM security controls
- Model risk assessment
- Secure AI architecture

## Career progression

- AI Security Analyst
- Application Security Engineer
- AI Risk Specialist
- Cybersecurity Analyst
- Red Team Associate

## Curriculum

1. **Module 1: Getting Ready**
   - Introduction to AI security and LLM risks
   - Programme scope and authorised testing guidelines
2. **Module 2: Foundations of LLM Security**
   - How LLMs work and risk surface
   - Threat landscape for AI systems
   - Security principles for AI applications
3. **Module 3: Prompt Injection Attacks**
   - Direct prompt injection concepts
   - Indirect prompt injection scenarios
   - Attack surfaces and entry points
4. **Module 4: Jailbreaking Techniques**
   - Understanding jailbreak patterns
   - Policy bypass methods
   - Risks and real-world implications
5. **Module 5: Model Extraction and Poisoning**
   - Model extraction risks and methods
   - Data poisoning concepts
   - Impact on model integrity
6. **Module 6: Detection and Defence Strategies**
   - Input validation and filtering
   - Guardrails and policy enforcement
   - Monitoring and anomaly detection
7. **Module 7: Secure Design and Architecture**
   - Designing resilient AI systems
   - Defence-in-depth for LLM applications
   - Secure integration with external tools
8. **Module 8: Practical LLM Security Labs**
   - Authorised attack simulations
   - Identifying vulnerabilities
   - Implementing mitigation strategies

## 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

**Who should attend this course?**

Security professionals, AI engineers, and anyone responsible for AI system risk and protection.



**Does this course include hands-on labs?**

Yes, all labs are conducted in authorised and controlled environments.



**Will I learn how to defend against attacks?**

Yes, the course focuses on both understanding attacks and implementing defences.



**Is prior cybersecurity experience required?**

Basic understanding is recommended but key concepts are explained.



**What certificate will I receive?**

Participants receive an Xcademia Practitioner Certificate upon completion.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | AID-0075 |
| Duration | 3 days |
| Level | Practitioner |
| Track | AI Security |
| Category | Cybersecurity & Ethical Hacking |
| Credential tier | tier1 |
| Price (GBP) | £1999 |

---

## About this content

This Markdown course profile is the citation-grade twin of [LLM Attacks: Prompt Injection & Jailbreaking](https://xcademia.com/courses/llm-attacks-prompt-injection-jailbreaking). 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/llm-attacks-prompt-injection-jailbreaking
- Publisher: Xcademia — https://xcademia.com
- Catalogue index: https://xcademia.com/llms-full.txt