Which mode allows the system to learn from interactions without enforcing policies?

The mode that allows the system to learn from interactions without enforcing policies is Learning mode. In this mode, the system actively observes and records the interactions and behaviors within the environment. The objective is to gather data and insights that can help refine future security policies and responses, but it does not take any action to enforce existing policies or rules.

This approach is particularly beneficial for understanding normal usage patterns, identifying anomalies, and developing effective security measures based on empirical evidence. By accumulating data during Learning mode, the system can make informed decisions when transitioning to a more proactive enforcement phase later on.

Other modes like Monitor, Review, and Assessment typically involve some level of enforcement or analysis of existing policies, rather than simply gathering information through interaction without taking action.