Join a panel discussion to learn why AI is the key for unlocking accurate Cyber Risk Quantification (CRQ), especially in complex scenarios involving specific assets or attack vectors. We’ll examine how other real-world approaches work, why they lead to wildly inaccurate loss projections, and their business implications.
In this session, we’ll cover:
- How AI uses your existing security and IT data to estimate cyber risk, incorporating threat intelligence, asset values, and controls.
- How large language models eliminate human error and simplify the risk estimation process.
- How a data-backed CRQ strategy helps justify security budgets and demonstrate ROI, even with limited resources.
- How data-driven insights can help you confidently assess and improve your security program’s effectiveness.