LSET’s Generative AI for Cybersecurity Defence & Simulation Course offers a deep dive into the integration of artificial intelligence within cyber defence strategies. This course is expertly structured to combine foundational theory with practical application, helping you simulate cyber attacks, plan defences, and automate security protocols using cutting-edge generative AI technologies. You will explore AI-powered threat modelling, scenario-based simulations, and strategic defence planning, equipping you with the skills needed to confront complex cyber challenges in a fast-evolving digital world.
Technologies Covered in This Course
Large Language Models (LLMs)
LLMs like GPT are used to generate complex threat scenarios, simulate adversary behaviour, and support natural language-based security automation. They assist in crafting realistic cyber drill narratives and auto-generating security documentation.
MITRE ATT&CK Framework with AI Integration
This widely adopted framework helps structure AI-generated attack simulations aligned with real-world adversarial tactics, techniques, and procedures (TTPs), enhancing the realism and relevance of simulations.
Cyber Range Simulators
Virtualised environments that emulate real networks and systems for conducting AI-powered attack and defence drills. Ideal for tabletop exercises, these simulators allow customisable threat scenarios using generative models.
AI-Powered Policy Writers
Tools and frameworks that automate the drafting of security policies and audit reports using natural language generation, saving time and improving consistency in documentation.
Adversarial AI Emulation Tools
These tools enable the controlled generation of AI-based threats, such as phishing content, malware code, or social engineering prompts, for red-teaming and simulation purposes.
GenAI Dashboard Builders
Customisable dashboards using AI to visualise threat patterns, response times, and attack vectors during simulations. Enables clear reporting and strategic review.
Responsible AI Toolkits for Cybersecurity
A collection of frameworks and best practices to ensure that generative AI is used ethically, securely, and within regulatory boundaries in cyber defence operations.
Synthetic Data Generators
Used to create artificial datasets for training AI systems or simulating data breaches without risking real data exposure. Crucial for creating safe and repeatable testing environments.
Automated Audit & Compliance Engines
AI-enhanced systems that help in monitoring and reporting on compliance with industry standards such as ISO 27001, NIST, or GDPR through natural language-based input/output interfaces.
Career Accelerator Program
Premium Career-Ready Track
Note: Please note that all prices listed are exclusive of VAT. VAT will be charged separately and added to the total amount payable.
