See engineering risk before it becomes an executive surprise.

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.

Single
risk view across engineering and security
Zero
manual spreadsheet rollups
24/7
scorecards updated from live delivery signals
THE PROBLEM

Security, engineering, and risk are scoring different realities.

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

Continuous Risk Signals

Scores update from the live engineering graph as vulnerabilities, dependencies, ownership, and delivery signals change.

Composite Risk Scores

Combine vulnerability counts, dependency staleness, test coverage, and ownership data into a weighted risk score for every service.

Drill-Down Analysis

Decompose any score to see exactly which factors are contributing and what remediations will have the greatest impact on your risk posture.

Trend Tracking + Threshold Alerts

Monitor service risk trends over time and automatically flag thresholds that need immediate attention.

WHO GETS WHAT

Four roles. One risk truth.

Each role works from the same live risk graph and gets the exact context needed to act.

Technology Executive

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.

Technology Manager

Sees: Service-level risk scores, dependency bottlenecks, and ownership gaps across teams.

Decides: Which initiatives need immediate remediation and staffing support.

Risk Manager

Sees: Control drift, vulnerability concentration, and policy threshold breaches in real time.

Decides: Where to escalate, enforce controls, and prepare audit-ready evidence.

Engineer

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.