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Verification Engine

Test the right parts of your product
automatically.

Zof generates, runs, and maintains tests across user flows, APIs, and integrations as your product changes.

SOC 2 Type II & ISO 27001Human approval where policy requires itWorks with your existing CI/CD

19

verification domains

Targeted

evidence selected per change, not every test every time

CI

native execution and gates

100%

of runs produce evidence

Verification sources

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.

GOVERNED · LIVE/agent-catalog
Zof Console screen for configuring what Zof verifies, showing testing checks like Assertion Optimizer, Code Path Analyzer, Coverage Gap Detector, and Mocking Strategy, each with origin, domain, trust level, and scope metadata, plus remediation and orchestration views.
Zof Console · configuring what Zof verifies · testing view shown · live from the product.
  1. 01

    Resolve the change

    The System Graph resolves affected systems, criticality, applicable controls, and incident history.

  2. 02

    Select required evidence

    Policy and risk determine which verification domains must produce evidence for this change.

  3. 03

    Run and collect

    Deterministic tools, specialized verification systems, customer validators, existing CI results, and approved models produce the evidence.

  4. 04

    Seal and decide

    Results are sealed into the evidence bundle and handed to the Control Plane for an enforceable decision.

What verification delivers

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.

Use cases

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 domains
  • Verify this release

    Every meaningful change produces the evidence policy requires before the deploy gate opens.

    100%

    evidence per run
  • Stress test this service

    Load, stress, endurance, and resilience verification exercise the failure modes that normal tests never reach.

    CI

    native execution
  • Validate before production

    Compliance and policy checks run alongside functional verification, so regulated changes carry their own proof.

    Policy

    selects what runs
Works with your stack

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.

Platform

CI/CD pipelines

GitHub Actions, GitLab CI, Jenkins, CircleCI, and Azure DevOps trigger verification and enforce control decisions.

Platform

Existing suites

Playwright, Cypress, Selenium, and unit frameworks keep running. Their results become evidence.

Platform

System Graph

Every run is grounded in live architecture context, so Zof knows what to verify and why.

Governance

Governed validation with human approval at every critical step.

Controls
  • Continuous verification under your control layer
  • System Graph maps dependencies before changes ship
  • Audit-grade evidence for compliance reviews
SOC 2 Type II · Human approval · Audit trails
Next step

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
  • Works with Playwright, Cypress, Selenium
  • Enterprise RBAC
Live demo · sample data

Run tests and understand why they failed

Every run returns telemetry, artifacts, and root-cause analysis, not just a green check.

Go beyond pass/fail with reliability analysis.

01Zof Console

One surface for posture, operations, and what needs attention next.

The authenticated home that engineering, QA, and SRE teams open every day: quality posture, in-flight runs, coverage by module, and what needs attention next.

OPERATIONAL KPIs

  • Runs
  • Coverage
  • Risk

Live across every environment you ship to.

WORK SPINE

  • Specs
  • Tests
  • Schedules

From specification to scheduled regression.

GUARDRAILS

  • RBAC
  • SSO
  • audit

Every action attributable to a named human.

LIVE/console
Zof AI home command center showing 12 runs at 94% pass, 3 open critical issues, 84% coverage, four module traceability bars, the specification pipeline, upcoming schedules, and recommended next actions with an active-runs sidebar.
Console home · Checkout Service · Staging · captured live from the product.
Continuous Verification | Zof AI