This whitepaper introduces a new method for quantifying human risk using a Bayesian Network model that evaluates hundreds of criteria derived from an organization’s data integrations. This statistical approach forms the basis of Living Security’s Human Risk Index, a patent‑pending system that categorizes users and groups into five levels of risk. By continuously incorporating new behavioral signals, the model provides security teams with a consistent, data‑driven way to assess and prioritize human risk, offering deeper insight into how user actions influence organizational security posture.

Join for free to read