---
url: "https://xcademia.com/courses/ai-red-team-operations"
title: AI Red Team Operations
description: "Three-day advanced AI red team training covering authorised attack simulation, deepfakes, prompt injection, threat modelling & offensive-to-defensive skills."
publishedAt: "2026-04-14T05:26:43.660736+00:00"
updatedAt: "2026-04-28T10:45:37.394089+00:00"
type: course
code: "CYB-0180"
level: Professional
duration_days: "3"
track: "Cyber Warfare & Advanced Threat Defence"
category: "Cybersecurity & Ethical Hacking"
credential_tier: tier1
price_gbp: "4295"
---

# AI Red Team Operations

> An advanced programme for experienced red team and security professionals covering the use of AI-powered offensive tooling in authorised red team exercises, deepfake attack simulation, AI threat modelling, and translating AI red team findings into defensive improvements. Build the capability to conduct AI-augmented red team engagements, generate controlled deepfake attacks in authorised exercises, and produce AI threat models covering all synthetic attack vectors.

## Overview

Experimental malware families are now capable of modifying their behaviour during attacks using language-model-based components. AI-assisted code analysis has identified hundreds of severe vulnerabilities in short timeframes. Autonomous reconnaissance operates faster than any human red team. Senior red team professionals who do not understand and work with these capabilities are testing defences against a threat model that is already obsolete. This three-day advanced programme addresses that gap directly.

Over three mentor-led days, participants examine how attackers deploy AI-powered offensive tooling across the full attack lifecycle, conduct authorised AI-assisted red team exercises across spearphishing, vishing, synthetic identity bypass, and automated vulnerability discovery, produce AI threat models covering all synthetic attack surfaces, and develop the skills to translate AI red team findings into concrete defensive capability improvements.

The programme concludes with a complete AI red team engagement report capstone: participants conduct, document, and present a full AI-augmented engagement covering multiple attack vectors in a controlled lab environment. This course is aligned with MITRE ATLAS, UK Computer Misuse Act requirements for authorised testing, GDPR constraints on synthetic media generation in testing, and AI red team industry standards.

## Prerequisites

- Minimum three years of professional penetration testing or red team experience.
- Solid understanding of social engineering, phishing, vulnerability assessment, and offensive security methodology.
- Familiarity with AI and machine learning concepts, preferably with some exposure to AI offensive tooling.

## What you will learn

- Use AI-powered offensive tools to test organisational defences against synthetic threats in authorised engagements.
- Generate controlled deepfake attacks in authorised red team exercises against simulated targets.
- Design AI red team scenarios covering all synthetic attack vectors for board-level wargaming.
- Identify AI-exploitable weaknesses in authentication, verification, and communication workflows.
- Produce a complete AI threat model covering synthetic attack vectors for your target environment.
- Brief leadership on the offensive AI threat landscape from a hands-on practitioner perspective.
- Translate AI red team findings into specific defensive capability improvements with measurable impact.

## Skills you will gain

- AI-augmented spearphishing campaign design
- Authorised voice clone vishing execution
- Synthetic identity bypass testing
- Prompt injection red teaming
- AI threat model production
- Computer Misuse Act boundary management
- AI engagement report production
- Automated vulnerability discovery integration
- AI defensive improvement translation
- MITRE ATLAS application to red teaming

## Curriculum

1. **Module 1: Getting Ready**
   - Pre-reading: MITRE ATLAS framework overview and UK Computer Misuse Act authorisation requirements
   - •	Introduction to the AI red team methodology and engagement structure used throughout
   - •	Lab environment setup: authorised AI offensive tooling access and simulated target environment configuration
   - •	Course objectives, red team experience baseline assessment, and individual focus areas
2. **Module 2: AI as an Offensive Weapon: Practitioner View**
   - How attackers use LLMs to generate spearphishing content at scale with personalisation impossible for human operators
   - Experimental malware modifying attack behaviour using language-model-based adaptive components
   - AI-assisted code analysis: identifying hundreds of severe vulnerabilities in application codebases within hours
   - Autonomous reconnaissance: what AI-enabled discovery looks like compared to traditional red team methodology
   - Authorised AI offensive tooling categories: what red teamers can legally access and deploy in engagements
3. **Module 3: Legal Boundaries of AI-Assisted Red Teaming**
   - Computer Misuse Act: how authorisation must be structured for AI-assisted offensive testing
   - GDPR constraints on synthetic media generation during red team exercises involving personnel data
   - Data protection requirements for voice clone creation in authorised vishing exercises
   - Scope of authorisation for AI-generated content in red team engagements: what must be defined contractually
   - Documentation requirements: maintaining an audit trail that demonstrates authorisation boundaries were observed
4. **Module 4: AI-Generated Spearphishing Lab**
   - Using authorised AI tooling to generate targeted spearphishing campaigns against simulated targets
   - Personalisation methodology: scraping open-source information to craft contextually appropriate lures
   - Campaign design: timing, volume, payload selection, and tracking for authorised simulated phishing
   - Measuring spearphishing campaign effectiveness in controlled testing environments
   - Translating spearphishing findings into awareness programme improvements and technical control recommendations
5. **Module 5: Voice Clone Vishing Exercise**
   - Voice clone production for authorised red team vishing exercises: tooling and legal constraints
   - Vishing scenario design: selecting targets, objectives, and social engineering pretext within scope
   - Exercise against a simulated helpdesk: attempting credential extraction using a cloned senior voice
   - Detection indicators: what the target did or did not notice, and what training or protocol changes result
   - Producing vishing engagement findings in a format that drives actionable staff awareness improvements
6. **Module 6: Synthetic Identity Bypass Attempt**
   - Attempting to bypass a simulated onboarding verification system using synthetic identity attack techniques
   - Deepfake injection: substituting AI-generated video for a live camera feed in a controlled test environment
   - Document forgery combined with biometric bypass: testing multi-factor verification resilience
   - Documenting verification checkpoints bypassed and those that detected the synthetic attack
   - Translating bypass findings into specific verification architecture improvements and tooling recommendations
7. **Module 7: Automated Vulnerability Discovery Demonstration**
   - AI-assisted code analysis tools: demonstrating automated vulnerability discovery in a sample application
   - Comparing AI-assisted discovery speed and coverage with traditional manual code review methodology
   - Integrating AI vulnerability discovery into red team engagement workflow without losing human judgement
   - False positive management: assessing AI-discovered vulnerabilities before including in engagement reports
   - Legal and scoping considerations: ensuring AI-assisted discovery remains within defined engagement scope
8. **Module 8: AI Threat Modelling: Covering All Synthetic Attack Vectors**
   - What an AI threat model is and how it differs from a traditional application or network threat model
   - Mapping all synthetic attack vectors: spearphishing, vishing, video impersonation, synthetic identity, and autonomous exploitation
   - Adversary capability assessment: current AI offensive tool availability and capability thresholds for threat actors
   - Organisation-specific AI attack surface analysis: where synthetic attacks can most plausibly succeed against your target
   - Producing a complete AI threat model document as a deliverable for CISO and board audiences
9. **Module 9: Prompt Injection Red Teaming**
   - Prompt injection as an offensive technique: how red teamers test LLM-integrated applications
   - Direct prompt injection: crafting inputs that override system prompts in enterprise AI deployments
   - Indirect prompt injection: embedding malicious instructions in content processed by AI systems
   - Testing AI-powered SOC tools, chatbots, and document processing systems for prompt injection vulnerability
   - Documenting prompt injection findings and producing remediation guidance for development and security teams
10. **Module 10: Findings to Defensive Improvements: Methodology**
   - The red team reporting gap: why AI red team findings are frequently ignored or poorly actioned
   - Translating each AI attack vector into a specific, actionable defensive control recommendation
   - Prioritising defensive recommendations by exploitability, impact, and implementation feasibility
   - Working with blue teams, awareness trainers, and architects to implement AI red team recommendations
   - Tracking remediation: measuring whether implemented controls actually reduce AI attack surface
11. **Module 11: Capstone: Full AI Red Team Engagement Report**
   - Participants conduct a complete AI-augmented red team engagement across all exercise vectors in the lab
   - Document all attack attempts, outcomes, bypasses, and detection failures in a professional engagement report
   - Produce an AI threat model for the simulated target organisation based on engagement findings
   - Present the engagement to a simulated CISO audience with defensive improvement recommendations
   - Full instructor debrief: engagement quality, report standard, threat model completeness, and recommendation actionability

## 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 is this course designed for?**

Senior red teamers, penetration testers, threat intelligence leads, security architects, and CISO advisory teams with significant offensive security experience who need to understand and apply AI-powered offensive techniques in authorised contexts.

**Are all exercises conducted in a controlled environment?**

Yes. All AI-assisted attack exercises are conducted exclusively against simulated targets and controlled lab environments. No techniques are executed against real systems, real individuals, or any target outside the defined course lab environment.

**What authorised AI offensive tooling is used?**

The programme uses commercially available and open-source AI tooling that is legally accessible for authorised security testing. Specific tools are disclosed during programme orientation and participants are provided with the legal framework for their use in professional engagements.

**What do I leave with?**

A Certificate of Achievement, a complete AI red team engagement report from the capstone, an AI threat model for the simulated target, a prompt injection findings report, and a personal action plan.

**Does this course need an exam?**

No. Assessment is through lab exercises and the Day 3 engagement report capstone. Completion requires full attendance and delivery of the capstone engagement report and threat model.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | CYB-0180 |
| Duration | 3 days |
| Level | Professional |
| Track | Cyber Warfare & Advanced Threat Defence |
| Category | Cybersecurity & Ethical Hacking |
| Credential tier | tier1 |
| Price (GBP) | £4295 |

---

## About this content

This Markdown course profile is the citation-grade twin of [AI Red Team Operations](https://xcademia.com/courses/ai-red-team-operations). 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-red-team-operations
- Publisher: Xcademia — https://xcademia.com
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