AI for Cybersecurity: Gain hands-on experience applying AI and Large Language Models (LLMs) to cybersecurity problems, including information extraction, correlation, summarisation, reasoning, and workflow automation.
OSINT & Red-Team Reconnaissance: Learn how authorised red teams conduct systematic reconnaissance using publicly available and approved intelligence sources, including techniques for digital-footprint analysis, infrastructure discovery, and identity correlation.
Data Engineering & Identity Correlation: Develop practical experience integrating heterogeneous data sources, building entity relationships, resolving identities, and designing effective ways for analysts to pivot between related pieces of intelligence.
Adversary Simulation & Responsible Security Research: Understand how realistic adversary behaviours, including controlled social-engineering scenarios, can be safely simulated within authorised engagements.
