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System Graph · Verification · Evidence · Control

Make every AI change
prove itself.

Zof is the independent verification and control layer between AI and production. Nothing reaches production unverified.

Production track record

Reliability teams at Series B-D SaaS, fintech, and healthcare run on Zof.

SOC 2 Type IIRBAC approvalsGDPR & HIPAA-aligned100% audit coverage

94%

fewer production incidents within 90 days

VP Engineering · Series C fintech

Works with the stack you already runBrowse all integrations

Native across the CI/CD, cloud, and observability tools your teams already trust. Zof plugs into your existing pipeline rather than replacing it.

The stakes

The cost of finding out in production.

01

A regression reaches your customers

An undetected change breaks a revenue-critical path. You hear about it from the support queue, not from a test.

02

The 2am page that will not resolve

Mean-time-to-detect drags while engineers chase symptoms across systems and the incident clock keeps running.

03

The audit you cannot evidence

A reviewer asks what changed, who approved it, and what it touched. The trail is scattered across six tools.

See the loop run

Watch one change earn the right to reach production.

A sample change moves through Zof: detected, understood, verified, blocked for missing evidence, re-verified, approved, authorized, deployed, and recorded.

Sample data · illustrative sequenceStep 1 of 8
Change detected

payments/auth.ts changed in PR #4831. Proposed by a coding agent.

Change detected
payments/auth.ts
Use the arrow keys to step through
Illustrative sequence on sample data. The numbers are not a customer result.
The control loop

Seven stages, one closed loop.

Pick a stage. Zof observes consequential actions, understands their context, verifies the evidence, applies policy, controls execution, and records what happened.

Change intakeSample change
Change
Received · not yet trusted
PR #4831 · payments/auth.ts
Proposed by
Coding agent
Scope
3 files · 142 lines · touches token validation
The same loop for a developer, a coding agent, or an autonomous system.Any proposer

A change is proposed.

A developer, a coding agent, or an automation proposes a change: a pull request, a configuration edit, a migration, a deployment.

System Graph

Understand the consequence of every change.

The System Graph continuously models services, APIs, dependencies, infrastructure, agents, models, policies, evidence, ownership, and history, so Zof knows what a proposed action could affect before it is allowed to happen.

CONSEQUENCE

Blast radius

Affected systems, criticality, and controls resolved per change.

TEMPORAL

What changed, when, by whom

History, evidence, and decisions stay queryable.

SUBSTRATE

One graph, whole loop

Verification, evidence, and control read the same model.

SCHEMATIC/system-graph
CHANGE · PR #4831payments/auth.tsproposed by a coding agentauth-servicePayment APICheckoutLedgerAuthenticationFraudCustomer APIDatabaseSearchNotificationsAnalyticsCRITICALITYTier 0AFFECTED SYSTEMS7APPLICABLE CONTROLS4HISTORICAL INCIDENTS2REQUIRED VERIFICATION6RESOLVED FROM THE GRAPH
Verification Engine

What must be proven before this action can be trusted?

Zof combines deterministic tools, specialized verification systems, customer-defined checks, and approved AI models under one verification architecture, and selects the evidence each change requires.

DOMAINS

19 verification domains

From unit tests to stress, security, and compliance.

SELECTION

  • Change
  • graph
  • risk
  • policy

The right evidence, not every test every time.

SOURCES

Tools, systems, models

Deterministic first; AI reasoning where approved.

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.
Evidence and control

Evidence leaders, auditors, and the board can actually use.

Every verification run, policy evaluation, approval, and outcome is recorded as durable evidence, exportable for release reviews, compliance packs, and executive readouts.

PROVENANCE

Who, what, why

Every decision attributable to policy and a named approver.

AUDIT-READY

Compliance pack

  • SOC 2
  • ISO
  • evidence trail.

CADENCE

Scheduled

Generated automatically on your schedule.

AUDIT-READY/reports
Zof AI reports page with four template cards, Weekly Release Summary, Coverage Trends, Risk Assessment Report, and Compliance Evidence Pack, each with Generate and Schedule actions, plus tabs for Generated Reports, Saved Views, and Scheduled.
Reports · /reports · four enterprise templates · live from the product.
Trust & governance

Built for the systems regulated industries depend on.

Zof was designed for enterprise reliability work, with explicit identity, explicit approval, and explicit audit by default.

Your code never leaves your environment. Zof deploys inside your VPC, private cloud, or on-prem, with a zero-data-retention option and air-gapped support, so evidence stays within your trust boundary.

01

Identity-first.

Every action is tied to a named identity through RBAC and SSO. There are no shared credentials.

02

Audit by default.

Every detection, approval, and remediation is recorded as typed, exportable evidence.

03

Inside your perimeter.

Zof operates within your VPC or air-gapped environment, and verification data never leaves your trust boundary.

04

Policy decides.

Approval rules, change windows, and rollback paths are first-class in the Control Plane, not hidden behind workflow scripts.

Compliance posture

Certified

SOC 2 Type IIISO 27001GDPRHIPAA-aligned

Security & compliance documents

Outcomes

What teams ship with Zof.

01

Higher release confidence

Critical paths are validated continuously, not just on green CI.

02

Lower incident exposure

Risk is surfaced and remediated under human governance.

03

Less brittle test work

Zof authors, runs, and maintains coverage continuously, with evidence for every run.

Works with your stack

Zof meets your stack where it already runs.

GitHub Actions, GitLab CI, Jenkins, Azure DevOps, AWS, GCP, Azure, Datadog, Slack, Jira, Zof connects into the systems your teams already use, not the ones they wish they didn't.

ECOSYSTEM

20 connectors

Spanning CI/CD, cloud, ops, and chat.

TIME TO CONNECT

Under an hour

From token to first signal.

OPEN ACCESS

API + webhooks

Build the integrations we don't ship.

CONNECTED/integrations
Zof AI integrations directory with CI/CD section showing GitHub Actions, GitLab CI, Jenkins, CircleCI, and Azure DevOps; Cloud Infrastructure section with AWS, Google Cloud, and Azure; plus a health summary showing zero degraded, zero errors, and 20 total integrations.
Integrations · /integrations · 20 connectors · live from the product.
In their words

“Zof made the reliability story we tell our customers something we can actually defend with evidence, not slides.”

VP of EngineeringPlatform reliabilitySeries C fintech

Your next release. Under control.

See Zof work with your stack, your team, and your rules.

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