01 / FRAGMENTATION
No shared release truth
Engineering, product, cybersecurity and management operate from different datasets and different definitions of ready.
Evidence-driven software release governance
Know whether software is ready to ship. And prove why.
EvidenceGraph connects requirements, code, builds, vulnerabilities, approvals and regulatory controls into one defensible executive release decision.
One release truthNamed accountabilityAudit-ready evidence
100%control mapping coverage
Conditional GoNamed owners. Due dates. Accepted residual risk.
6connected evidence domains
3clear release outcomes
100%traceable decision evidence
1executive release truth
The board-level problem
Software delivery risk is visible everywhere, but owned nowhere.
Requirements sit in DOORS. Delivery work lives in Jira and GitHub. Builds run in Jenkins. Vulnerabilities come from Qualys and Black Duck. Approvals are often fragmented across tickets, spreadsheets and email. EvidenceGraph correlates these signals before management accepts the release.
02 / ACCOUNTABILITY
Risk without a named owner
Exceptions are accepted informally, while ownership, approval timestamps, mitigation dates and residual risk remain unclear.
03 / AUDITABILITY
Evidence assembled too late
Teams reconstruct the decision after the fact instead of producing decision-grade evidence at the moment of release.
Interactive release model
Four projects. Four different risk profiles. One consistent decision logic.
The web demo models realistic automotive software programs and converts their engineering and security evidence into a management recommendation.
Automotive OEM Project 1
Sports Car Instrument Cluster
A new digital instrument cluster for a high-performance sports car. Delivery is conditionally possible with formal approval for residual HMI and cybersecurity risk.
CONDITIONAL GO: Management approval required
63%readiness
Development readiness80%
Vulnerability risk43/100
Missing approvals3
Delivery blockers0
NIS2 statusYELLOW
Release only with named owners, due dates and accepted residual risk.
One cockpit. One decision.
Development readiness, vulnerability risk, approvals, blockers and NIS2 evidence in a common governance model.
Get the walkthroughDevelopment readiness, vulnerability risk, approvals, blockers and NIS2 evidence in a common governance model.
No-GoCritical vulnerability, failed build, mandatory approval gap or policy blocker
Conditional GoNon-critical risk with formal exception, owner and due date
ReadyTraceability, approvals, builds and security gates are green
Decision EvidenceA defensible management record is created at release time
How EvidenceGraph works
From tool data to decision evidence.
EvidenceGraph does not replace engineering systems. It connects their evidence, evaluates release criteria and exposes what management must approve.
- Connect Jira, GitHub, Jenkins, DOORS Next, Qualys VMDR, Black Duck SCA and additional engineering systems.
- Normalize requirements, PRs, builds, vulnerabilities, approvals, owners, due dates and regulatory controls.
- Distinguish hard delivery blockers from manageable, time-bound exceptions.
- Create a release readiness report and individual evidence documents for every decision object.
1
Connect
Use evidence from the systems teams already trust.
2
Correlate
Link requirements, code, builds, vulnerabilities, approvals and NIS2 controls.
3
Decide
Deliver a transparent release recommendation and a defensible management record.
Connected evidence architecture
Evidence flows from source systems into one governed object model.
RequirementsDOORS NextRequirement, owner, approval, trace links
DeliveryJiraIssues, risks, exceptions, accountable tasks
CodeGitHubCommits, pull requests, merge state, reviewers
BuildJenkinsBuild status, release gates, failed pipelines
ExposureQualys VMDRAssets, severity, CVSS, exploitability, SLA
Software Supply ChainBlack Duck SCAComponents, SBOM, vulnerabilities, licence policy
Source evidence→Linked evidence objects→Release gate logic→Executive decision record
Built for high-consequence delivery
Where a missed signal becomes a commercial, safety or regulatory event.
Automotive software
Vehicle platforms, ADAS, cockpit, infotainment, body electronics and software-defined vehicle programs.
- Release readiness by vehicle program
- Cross-domain dependency evidence
- Supplier and OEM accountability
Industrial and critical systems
Connected products, industrial automation, energy systems and regulated digital infrastructure.
- Operational and cyber risk correlation
- Formal exception workflows
- Decision evidence for critical releases
Cybersecurity governance
NIS2-oriented evidence, vulnerability remediation, exception approval and executive accountability.
- Control mapping and coverage
- Named owners and remediation dates
- Audit-ready approval history
Inside the evidence layer
Every status opens into the evidence behind it.
No black-box score. Users can inspect the release gate, trace linked objects and open the decision evidence document behind every green, yellow or red signal.
Business outcome
EvidenceGraph changes the release conversation.
“We believe the release is ready.”
Evidence is fragmented, decisions are subjective and accountability is difficult to reconstruct.
“Here is the evidence, the residual risk and the accountable decision.”
Management sees what is green, what requires approval, who owns the risk and when mitigation is due.
See the decision before the risk
Make software release readiness explainable.
Book a focused executive demo using an automotive OEM scenario or your own delivery governance challenge.