Network Cognition Scoring for Executive Reporting
A single weighted score — the Network Cognition Score (NCS) — that captures performance, confidence, risk, impact, and intent alignment across your entire network, with executive summaries your CTO can read.
CogniNetNeo4jBatfishThe problem today
Network health is invisible to leadership. The team knows things are fragile, but translating 'we have 47 OSPF timer mismatches and 12 single points of failure' into business language requires hours of manual report writing. Executive reviews get stale slide decks that were accurate two sprints ago. When leadership asks 'how healthy is our network?', the answer depends on who you ask and when.
How AI agents solve it
CogniNet computes a Network Cognition Score (NCS) — a weighted aggregate of five dimensions: performance (20%), configuration confidence (20%), risk exposure (25%), blast radius impact (15%), and intent alignment (20%). Each dimension has a per-device breakdown and a network-wide aggregate. The executive summary module produces C-level reports with health labels (Excellent, Good, Fair, Poor), critical findings ranked by business impact, top risks with estimated remediation effort, and trend data showing how the score changes over time. No manual report writing.
Who this is for: CTOs, VPs of Infrastructure, network directors, and compliance teams needing regular health assessments
Manual workflow vs. CogniNet Agent
Manual workflow
- Network health is a feeling, not a number
- Executive reports require hours of manual compilation
- Reports are stale by the time they reach leadership
- Different engineers give different health assessments
- No trend data — each report is a snapshot
With the CogniNet Agent
- Single NCS score quantifies network health across 5 dimensions
- Executive summaries generated automatically after every analysis
- Reports are always current — computed on demand
- Consistent scoring methodology eliminates subjective bias
- Trend tracking shows health trajectory over time
How the CogniNet Agent runs this
- 01
CogniNet Agent parses all network configs and builds the heterogeneous graph
- 02
GNN model scores each device across 8 prediction heads: confidence, issues, performance, impact, intent, outage, security, service health
- 03
Rule engine validates 108+ checks across management, control plane, and data plane categories
- 04
NCS aggregator weights the dimensions and produces per-device and network-wide scores
- 05
Executive summary generator produces a report: health label, critical findings, top risks, remediation priorities
- 06
Report is available via API or rendered in the STRUCTURA.IO dashboard
Measurable impact
Leadership gets a single health score they can act on
Manual report writing eliminated — summaries generated in seconds
Risk conversations backed by quantified impact, not anecdotes
Trend data enables proactive investment in network reliability
Agents involved
Part of our Network Visibility solution
This use case is one piece of a larger pipeline
NCS scoring is part of the Network Visibility solution — see the full pipeline from discovery to executive reporting.
Explore the Network Visibility solutionGoverned by the AI Gateway
Every agent action in this use case is audited, policy-checked, and cost-tracked
Structura's AI Gateway sits between every agent and the underlying LLM providers. Every decision made during this use case. Every plan review, every policy check, every fix PR, is routed through guardrails, logged to an immutable audit trail, and evaluated against NIST AI RMF and AIUC-1 controls.
Learn about the AI GatewayRelated use cases
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See this use case in a live demo
We'll walk you through exactly how the CogniNet Agent handles this in a real environment with your stack, your policies, and your constraints.