LOTL-Underwriting-Playbook: Risikoselektion bei KI-Agenten

The LOTL 2.0 Underwriting Playbook: Risk Selection Criteria When the Attacker Is an Algorithm

Zusammenfassung

Practical underwriting framework for assessing cyber risk in the era of autonomous LOTL attacks. Includes revised risk scoring matrices, control weight adjustments, and application question updates for underwriters.

In our first analysis of LOTL 2.0, we established that the convergence of autonomous AI agents with living-off-the-land tradecraft is collapsing the cost, skill, and detectability constraints that historically limited sophisticated attacks. Now we turn to the practical question: **how should underwriters adjust their risk selection?**This isn’t about rewriting your entire underwriting manual. It’s about rebalancing the weight you assign to existing controls and adding a few new dimensions to your assessment.

Kernpunkte

• Die Cyber-Bedrohungslandschaft entwickelt sich rasant weiter
• KI-verstärkte Angriffe verändern das Risiko-Profil
• Underwriter und Makler müssen ihre Ansätze anpassen
• NIS2-Compliance wird zum Standard-Kriterium

Praktische Schritte

1. Aktuelle Bedrohungsage verstehen
2. Risikomodelle aktualisieren
3. Deckungskonzepte überprüfen
4. Kunden proaktiv beraten

Weitere Tools: Cyber-Risikorechner | FAIR-Report | NIS2-Checker | Security Scan