What must be proven before
this action can be trusted?
The Verification Engine selects the evidence each change requires, from unit, integration, and end-to-end tests to security, performance, stress, resilience, compliance, and policy checks, and runs it continuously.
19
verification domains
Targeted
evidence selected per change, not every test every time
CI
native execution and gates
100%
of runs produce evidence
How the Verification Engine works
Zof determines which verification is appropriate from the change, the System Graph, the risk, and enterprise policy. It does not run every possible test on every change.
- 01
Resolve the change
The System Graph resolves affected systems, criticality, applicable controls, and incident history.
- 02
Select required evidence
Policy and risk determine which verification domains must produce evidence for this change.
- 03
Run and collect
Deterministic tools, specialized verification systems, customer validators, existing CI results, and approved models produce the evidence.
- 04
Seal and decide
Results are sealed into the evidence bundle and handed to the Control Plane for an enforceable decision.
Testing as evidence-producing verification
Testing remains the entry point. Inside Zof, every test becomes evidence that a control decision can rely on.
- 01
Change-aware selection
Verification focuses on what the change can affect, so the right evidence is produced without running everything every time.
- 02
Nineteen verification domains
Unit, integration, end-to-end, API, security, performance, load, stress, endurance, scalability, resilience, compliance, regression, accessibility, and more, under one architecture.
- 03
Deterministic first, AI where approved
Deterministic tools and specialized verification systems carry the evidence. Approved AI models reason over results and gaps only where policy allows.
- 04
Evidence, not just a green check
Structured results, artifacts, traces, and logs are sealed into the evidence bundle and attached to the decision.
Outcomes teams measure
Test this application
Point Zof at an application and it generates, runs, and maintains verification across user flows, APIs, and integrations.
19
verification domainsVerify this release
Every meaningful change produces the evidence policy requires before the deploy gate opens.
100%
evidence per runStress test this service
Load, stress, endurance, and resilience verification exercise the failure modes that normal tests never reach.
CI
native executionValidate before production
Compliance and policy checks run alongside functional verification, so regulated changes carry their own proof.
Policy
selects what runs
Runs where your teams already work
The Verification Engine connects to repositories, CI/CD pipelines, and collaboration tools. Existing test suites and CI results count as evidence.
خطوط أنابيب CI/CD
GitHub Actions, GitLab CI, Jenkins, CircleCI, and Azure DevOps trigger verification and enforce control decisions.
Existing suites
Playwright, Cypress, Selenium, and unit frameworks keep running. Their results become evidence.
System Graph
Every run is grounded in live architecture context, so Zof knows what to verify and why.
- Continuous verification under your control layer
- System Graph maps dependencies before changes ship
- Audit-grade evidence for compliance reviews
See the Verification Engine on your stack
Book a Reliability Sprint: one system, evidence of where it breaks and where it holds.
- Human approval where policy requires it
- يعمل مع Playwright وCypress وSelenium
- التحكم في الوصول المستند إلى الأدوار للمؤسسات
شغّل الاختبارات وافهم سبب إخفاقها
تُنتج كل عملية تشغيل قياسًا عن بُعد وأدلّة وتحليلًا للسبب الجذري، لا مجرّد علامة خضراء.
تجاوز نجاح/إخفاق إلى تحليل الموثوقية.
