Today’s cloud agents don’t just respond to binary triggers they interpret signals, evaluate risk, and act in grey areas. In this podcast, will review how Azure’s background services (like Monitor, Arc, and Entra ID sync) apply fuzzy logic to make context-aware decisions, often using confidence scores and signal-based thresholds rather than absolutes.
While traditional risk rankings are often compliance-driven used to satisfy audits or drive policy workflows, true risk rankings are deeper. We will examine how that next layer is forming through techniques like Fault Tree Analysis, graph neural networks (GNNs), and adversarial modeling, where fuzzy logic evaluates intent, context, and system behavior in a dynamic cloud world.
