The threat landscape is evolving rapidly, driven by the increasing professionalisation of cybercrime and the use of AI by attackers. Particularly challenging are novel, unpredictable attack patterns such as:

Campaigns with zero-day and N-day exploits
Insider threats with subtle behavioural changes
Attacks on the supply chain with lateral spread potential
AI-supported, adaptive attack techniques
APTs and other targeted, highly specialised threats

Not only are these attacks becoming more frequent, but falling barriers to entry have also made them accessible to less experienced actors. At the same time, traditional detection methods – such as signature-based systems, rule-based engines, threat intelligence, or supervised ML models trained on historical data ...