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Score Pillars

The QR Score is composed of four pillars with configurable weights (defaulting to 25% each). Each pillar evaluates a distinct dimension of infrastructure resilience.

Default weight: 25% | Question: How robust is the network architecture?

Evaluates the structural properties of the infrastructure graph to identify architectural weaknesses.

Metric What it measures
Single points of failure Nodes whose removal would disconnect parts of the network
Critical connections Connections whose loss would isolate network segments
Interconnection depth How deeply layered the network’s core connectivity is
Connectivity ratio Overall connectivity relative to the number of devices

High score = redundant paths, few single points of failure, well-connected topology.


Default weight: 25% | Question: How well does the infrastructure survive attacks?

Simulates two failure scenarios against the infrastructure graph:

Scenario Method
Random failure Simulates hardware failures and outages across the network
Targeted attack Simulates adversarial targeting of the most critical network hubs

The score measures what percentage of the network remains functional after progressive failures.

High score = network degrades gracefully, no catastrophic collapse when key nodes fail.


Default weight: 25% | Question: What is the current health state of all devices?

Assesses the real-time operational status of every device in the infrastructure graph.

Metric What it measures
Healthy device ratio Percentage of devices reporting healthy status
Critical/high-risk devices Percentage of devices flagged as critical or high risk

High score = most devices are healthy, very few are in critical or high-risk state.


Default weight: 25% | Question: How quickly and fully can the infrastructure recover?

Runs probabilistic simulations to model expected loss under various failure scenarios.

Metric What it measures
Expected loss Average infrastructure impact across simulated failure scenarios
Outcome predictability How consistent recovery outcomes are — narrower spread means more predictable
Scenario impact How different failure types affect the network

High score = low expected loss, predictable recovery, limited blast radius from failures.


Each pillar score (0–100) is returned in the pillarScores object of the Get Pillars response:

{
"clientId": "osc_x7k2q9_9f8b7c6d5e4f3a2b1c0d9e8f7a6b5c4d",
"scoreDate": "2026-03-18",
"pillarScores": {
"structuralIntegrity": 72,
"failureResistance": 65,
"deviceHealth": 58,
"recoveryCapability": 75
}
}