Use the atlas to orient yourself. What question are you asking? Find the row. When can you afford to learn the answer? Find the column. Empty cells are questions nobody instrumented at that stage yet.

← What question are you asking? (sensor families)
← earlier / cheaper   |   later / closer to reality →
Lifecycle stages

Eleven families at a glance

How the families lean on each other

Sensor families are not a stack — evidence from one family routinely depends on another family having done its job. Arrows point from the family that leans to the family it leans on, labelled with a sensor that carries the connection. Hover a node to isolate its neighborhood. Drawn from the cross-references inside the catalog entries themselves; only the strongest links are shown.

behavioral leans on change invariants leans on runtime invariants leans on behavioral adversarial leans on invariants ai-sensors leans on test-effectiveness structural leans on behavioral change leans on adversarial runtime leans on change test-effectiveness leans on behavioral adversarial leans on test-effectiveness invariants leans on structural ai-sensors leans on structural ai-sensors leans on runtime ai-sensors leans on change Contract Tests, Smoke Tests, Synthetic MonitoringSmoke Tests Business Invariants, Database Invariants, Runtime InvariantsRuntime Invariants Pre-Promotion Invariant Gates, Runtime Invariants, Statically Checked InvariantsRuntime Invariants Fault Injection, Live Chaos Experiments, Metamorphic TestingFault Injection Agent Sensor Stack, Producer-Evaluator SeparationAgent Sensor Stack Build Provenance & SBOM, Schema ValidatorSchema Validator Canary Analysis, Shadow TrafficShadow Traffic Distributed Traces, Observability EventsDistributed Traces Escaped Defect Rate, Mutation TestingMutation Testing Fuzzing, Metamorphic TestingFuzzing Runtime Invariants, Statically Checked InvariantsRuntime Invariants Agent Sensor StackAgent Sensor Stack Agent Sensor StackAgent Sensor Stack Agent Sensor StackAgent Sensor Stack Structural Behavioral Test Effectiveness Invariants Adversarial Runtime Change Architecture Evolution Human Comprehension AI-Generated Code