- Security data is scattered across scanners, spreadsheets, APIs, CSV/JSON/SARIF exports, or DefectDojo.
- Reporting and prioritization require repetitive manual work that does not justify a heavyweight ASPM or SIEM.
- The team needs to combine technical severity with ownership, criticality, aging, effort, budget, or capacity context.
Product Security Automation & Decision Dashboards
Turn exports from security tools and engineering systems into lightweight prioritization, metrics, budget/effort models, and executive-ready dashboards — without buying a heavyweight security platform first.
Indicative USD baseline for a clearly bounded scope.
Calendar timing depends on access, evidence, target size, and stakeholder availability.
Scope, assumptions, deliverables, timeline, and price are confirmed before delivery begins.
No surprise hourly overages on agreed packaged work. If the scope changes materially, additional work is agreed in writing before it starts.
Recognize the decision before choosing the scope.
How should data from different security and engineering sources be normalized and deduplicated?
Which prioritization logic reflects product context instead of scanner severity alone?
Lightweight automation around the data you already have.
The engagement starts from accessible exports, APIs, spreadsheets, or scanner output. The goal is a useful decision workflow — not another platform to operate.
- DefectDojo and vulnerability-management exports
- SAST, DAST, SCA, secrets, IaC, container, and cloud findings
- CSV, JSON, SARIF, spreadsheet, or API-accessible data
- Normalization, deduplication, severity and asset-context mapping
- Risk prioritization, aging, SLA, trend, and remediation-effort models
- Budget, capacity, roadmap, and executive Product Security views
A small decision system your team can actually use.
Delivery can be an enhanced Excel workbook, a lightweight local/static web dashboard, or a documented reporting workflow — depending on the client environment and data sensitivity.
A clear model of where findings, assets, owners, effort, and business context come from.
Rules for severity, criticality, aging, SLA, duplicates, exceptions, and business context.
A practical management view for risk debt, coverage, remediation velocity, release confidence, and trends.
Translate remediation work and program initiatives into effort, capacity, and cost scenarios.
Condense technical data into a small set of business-ready metrics and decision prompts.
Documented import/update steps so the team can refresh the model without rebuilding it each month.
Export. Normalize. Prioritize. Visualize. Decide.
Collect agreed scanner, platform, spreadsheet, or API data.
Map fields, remove noise, enrich with ownership and product context.
Apply risk, effort, trend, budget, or capacity logic.
Dashboard, workbook, update workflow, and leadership-ready outputs.
Best fit: startups and smaller software teams that need visibility and repeatability but are not ready for a large AppSec/ASPM analytics platform. This service is not a replacement for a SOC, SIEM, or production monitoring stack.
Know what changes, what is needed, and what can follow.
What changes after
- Manual reporting becomes a repeatable decision workflow with consistent fields and ownership context.
- Prioritization can incorporate product criticality, age, SLA, effort, and capacity rather than severity alone.
What we need from you
- Representative exports, API samples, spreadsheets, or source-system field definitions.
- Ownership/product context needed to enrich technical findings and explain prioritization.
Natural next steps
Build a broader engagement.
Product Security Metrics & Executive Reporting
Define the metrics and business narrative behind the dashboard.
08AppSec Toolchain Optimization
Improve scanner signal, workflow, and ownership before automating the reporting layer.
01Product Security Program Assessment
Use the assessment to define what should be measured and prioritized first.
Bring the architecture, problem, or current security backlog.
We can define the smallest useful scope and a clear output before work begins.