Which type of analysis allows you to see how likely an exploit could affect your network?

Descriptive analysis summarizes what has already occurred in historical or current data and does not calculate the likelihood of future exploit success.

Causal analysis identifies cause-and-effect relationships between events rather than computing a probability that an exploit will impact a specific network.

Probabilistic analysis uses probability calculations and statistical methods to assign a likelihood score to potential exploit outcomes, enabling risk prioritization based on calculated exposure rather than binary worst-case assumptions - it directly answers how likely an exploit is to affect a network.

Inferential analysis draws broader conclusions from a representative data sample but is not specifically designed to quantify exploit likelihood against a network.