Continuous Risk Signals
Scores update from the live engineering graph as vulnerabilities, dependencies, ownership, and delivery signals change.
Your teams track risk in disconnected tools and reconcile it in meetings. DevGrid turns live security, delivery, and ownership signals into one decision-ready risk view.
Security teams track vulnerabilities in scanner tools. Engineering managers track delivery in sprint tooling. Leadership sees periodic status decks. Without one live model, teams spend meetings reconciling numbers instead of reducing risk.
Here's how DevGrid fixes that
Scores update from the live engineering graph as vulnerabilities, dependencies, ownership, and delivery signals change.
Combine vulnerability counts, dependency staleness, test coverage, and ownership data into a weighted risk score for every service.
Decompose any score to see exactly which factors are contributing and what remediations will have the greatest impact on your risk posture.
Monitor service risk trends over time and automatically flag thresholds that need immediate attention.
Each role works from the same live risk graph and gets the exact context needed to act.
Sees: Portfolio-wide risk exposure, trending hotspots, and investment impact across critical services.
Decides: Where to direct budget and executive attention to reduce systemic risk.
Sees: Service-level risk scores, dependency bottlenecks, and ownership gaps across teams.
Decides: Which initiatives need immediate remediation and staffing support.
Sees: Control drift, vulnerability concentration, and policy threshold breaches in real time.
Decides: Where to escalate, enforce controls, and prepare audit-ready evidence.
Sees: Service-specific risk drivers, exploitable vulnerabilities, and dependency blast radius in workflow context.
Decides: What to remediate next for the highest risk reduction per effort.