Detection scaled faster than accountability.

Your security findings already exceed your governance capacity.

Faultline is the governance layer your scanner does not include: continuous ownership tracking, suppression lifecycle management, and signed audit exports for Go-heavy engineering teams.

sample data: where governance breaks first
27
repos watched
8
orphaned findings
14
undefended exceptions
repositorywhat needs reviewrisk
payments-apinobody remembers why this exception existshigh
identity-gatewayrepo owner left 18 months agohigh
build-orchestratoraccepted risk lost its rationalemedium
audit-exportersigned evidence currentlow

Current state

Your current governance process probably already looks like this.

Your scanner stack is generating governance debt faster than your organization can defend, review, or explain.

01

Findings routed into Jira with temporary ownership.

02

Suppressions approved once and never reviewed again.

03

Repositories inherited without decision history.

04

Audit evidence reconstructed manually under deadline pressure.

05

Accepted risk surviving longer than the teams that approved it.

06

Security teams relying on tribal memory to explain production exposure.

The failure mode is not vulnerability count. It is unverifiability.

Faultline exists because this failure mode compounds silently: nobody can confidently explain why the risk still exists, who owns it now, or whether the original assumptions still apply. Governance entropy compounds faster than most organizations can manually contain.

Static analysis finds issues but not accountable owners. CODEOWNERS names files but not operational reality. Suppressions record exceptions but rarely force review. Ticket systems track activity but not governance lineage.

So when an audit, customer diligence request, incident review, or executive operating meeting asks for proof, platform teams are forced into forensic reconstruction from stale tickets, old screenshots, and memory.

Category

Detection scaled faster than accountability.

Organizations mistake scanner output for governance maturity. Faultline is the control layer for what happens after findings exist: ownership lineage, suppression lifecycle, policy evidence, accountability continuity, and signed audit exports.

Scanner coverage is not governance coverage

Scanners produce observations. They do not prove accountability lineage.

Ticket assignment is not ownership integrity

A Jira assignee can disappear, churn teams, or inherit risk without context.

Accepted risk without review becomes permanent exposure

Suppressions need owner, reason, expiry, review, and proof that the assumption still holds.

Manual compliance evidence is already degraded evidence

Evidence reconstructed after the fact depends on memory, screenshots, and partial system state.

Cost of waiting

Governance debt compounds quietly until scrutiny arrives.

The longer governance lineage decays, the harder it becomes to reconstruct accountability under audit, customer diligence, or incident review. Waiting does not preserve optionality. It destroys evidence.

Suppressions outlive assumptions

Accepted risk routinely survives longer than the conditions that justified it.

Inherited risk loses its story

Every unreviewed exception becomes inherited risk without accountable context.

Ownership becomes temporary attribution

If ownership cannot survive staffing churn, you do not have governance. You have a stale name on a record.

Audits become archaeology

Most teams discover governance gaps only when customers, auditors, or incidents force reconstruction.

Risk acceptance loses its defense

The finding still exists, but the original system, reviewer, rationale, and approval context may not.

Organizational change

Governance fails fastest during organizational change.

Faultline preserves governance continuity after the original decision-makers disappear, so accepted risk keeps owners, rationale, review state, and evidence instead of becoming inherited ambiguity.

01

Repositories outlive the teams that knew why risk was accepted.

02

Owners leave, move teams, or inherit services without the decision history.

03

Suppressions survive reorganizations, layoffs, platform migrations, and ownership changes.

04

Jira history fragments while CODEOWNERS decays into a stale organizational guess.

05

Accepted risk loses accountable context before the underlying finding disappears.

Control layer

One source-free snapshot becomes the governance record your current stack cannot reconstruct later.

Faultline is the evidence path from local Go scanner output to owners, policies, suppressions, accountability records, and signed exports without source upload by default.

Scan locally

Run the OSS scanner in your shell or CI runner, where source code already lives.

Upload metadata only

Send faultline.snapshot.v1 repository facts, package records, findings, suppressions, ownership, and policy signals - not source code.

Expose governance decay

Normalize snapshots into owner gaps, orphaned findings, stale suppressions, policy drift, dependency health, incidents, and repo trends before context disappears.

Preserve accountability continuity

Move PR advisories, owner reviews, Jira/Slack activity, and weekly digests into an evidence trail that survives team churn.

Export evidence

Preserve signed exports and audit trails that make accepted risk continuously explainable.

Proof

See the evidence chain before you start a trial.

A qualified visitor should not have to imagine the product. This is the first-value path Faultline is built to produce: local scan, source-free receipt, governance map, weekly digest, and signed evidence.

local scanner commandsource stays local
faultline scan ./...
  --format snapshot
  --out faultline.snapshot.json
  --enterprise-url https://api.gofaultline.dev
  --enterprise-org-id ce28dedc-be2e-410a-b65d-4b51be891f47

Source-free snapshot receipt

The scanner emits metadata that Enterprise can govern without receiving source code.

accepted
repos
5
packages
148
findings
37
source uploaded
no

Governance map

One view shows the repos that need ownership, suppression, policy, or evidence review before risk is accepted again.

2 high-risk repos
RepoRiskOwner gapsSuppressionsPolicyEvidence
payments-apiHigh32 expiringdriftneeds export
identity-gatewayMedium2currentCODEOWNERS staledigest queued
billing-workerHigh14 stalereview requiredowner review
audit-exporterLow0nonecurrentsigned
weekly governance digestverified recipients
Risk changespayments-api +8.3 points since last scan
Owner gapsidentity-gateway, billing-worker, data-loader
Suppressions14 expire within 30 days
Policy driftplatform/base-go drift in 3 repos
Evidenceaudit-exporter export signed and downloadable

Signed audit export

Exportable records let leadership, customers, and compliance reviewers inspect what changed and verify the bytes they received.

verified
generated
2026-05-05T20:26:45Z
records
26
digest
sha256: verified
signature
current
includes
snapshots, tokens, policy events, exports

This is the conversion point: if the first few repos reveal real gaps, the rollout question changes from "what is Faultline?" to "why is this not watching every production Go repo?"

Identify Orphaned Findings

First value

One real snapshot should expose the debt your current process hides.

01

Run the scanner where code already lives

Install the GitHub Action or CLI in a Go repo. Source stays in your runner.

02

Upload the first source-free snapshot

Create an API token, add the Enterprise flags, and populate the dashboard from metadata only.

03

Review where governance breaks

See orphaned findings, owner gaps, stale suppressions, policy drift, and audit evidence in one operating view.

Activation target

Your trial starts working the moment one real repo sends a snapshot. From there, teams can identify inherited risk debt, review suppressions, enable weekly digests, export evidence, and decide whether Faultline belongs in every production repo.

Product

The operating view for production Go repos whose governance story may not survive scrutiny.

Each view answers the question engineering leaders eventually get asked: what is risky, who owns it now, why was it accepted, what changed, and what proof can we export?

Governance exposure map

Show which repositories carry unresolved owner gaps, undefended suppressions, policy drift, and audit exposure before someone asks for proof.

Ownership integrity

Identify services where CODEOWNERS, recent authorship, and operational accountability cannot survive staffing churn.

Suppression lifecycle control

Keep accepted risk from becoming invisible permanent exposure with owners, reasons, expiry, review state, and evidence history.

Policy enforcement lineage

Turn architecture rules and governance standards into versioned policy that leaves reviewable evidence.

PR advisory risk gates

Surface package risk, policy drift, owner gaps, and suppression context before another repository inherits debt without context.

Dependency health

Persist dependency metadata and enrich GitHub-hosted modules with maintenance, archived, and stale signals.

Incident correlation

Connect high-risk packages to incident history so review work starts where governance failure already hurt.

Accountability routing

Route owner gaps, expiring suppressions, and policy review into Slack and Jira without pretending those tools are governance systems.

Weekly governance digests

Keep accountable recipients current before orphaned findings, expiring suppressions, and policy drift become institutional memory loss.

Signed audit exports

Export signed evidence packages that show what changed, who reviewed it, and which governance decisions can survive scrutiny.

Open-core model

OSS where developers scan. Enterprise where accountability scales.

OSS scanner

Apache 2.0, locally runnable, and useful before you trust any platform rollout.

Enterprise layer

Multi-repo ownership lineage, suppression governance, accountability routing, auth, digests, and signed evidence when accountability needs to scale.

Who it is for

Built for the teams accountable when security debt has to be explained.

Primary buyer

VP Engineering / Head of Platform

Use Faultline when leadership needs proof that risk ownership can survive staffing churn, inherited repositories, and audit scrutiny.

Implementation owner

Platform Engineering

Use Faultline when the alternative is another spreadsheet trying to reconcile stale CODEOWNERS, scanner output, Jira tickets, and old suppressions.

Procurement ally

Security / Compliance

Use Faultline when accepted risk needs owners, reasons, review dates, and exportable evidence before an auditor, customer, or incident asks for it.

Risk context

SRE / Incident Response

Use Faultline when postmortems keep finding ownership and architecture gaps that disappear after the meeting and reappear in the next incident.

Security posture

Designed for metadata-first governance and customer-controlled deployment paths.

Evaluate Faultline without granting source access. The scanner runs where code already lives, and Enterprise ingests governance metadata by default.

Metadata-only ingestion

Faultline is designed to ingest scanner snapshots, repository facts, ownership signals, policy findings, and audit metadata by default.

OIDC and RBAC

Enterprise access maps identity provider groups into scoped roles for owners, reviewers, support, finance, and operators.

PostgreSQL RLS

Tenant boundaries are enforced in PostgreSQL with row-level security for organization-scoped records.

Redis rate limits

API traffic can fail closed under limiter failures, protecting auth, ingest, export, and token paths.

Signed audit exports

Evidence exports can be encrypted at rest and signed so downstream reviewers can detect tampering.

Encrypted integration secrets

Webhook and integration credentials are encrypted and kept out of repositories and deployment artifacts.

Find the continuity gaps your current tooling cannot prove away.

You may have findings, scanners, and tickets. Under scrutiny, that still may not prove governance continuity.

FAQ

Straight answers for engineering leaders and platform teams.

What will we see after the first snapshot?

A real snapshot populates repository risk, package records, owner gaps, findings, suppression status, policy signals, dependency metadata, and a snapshot receipt. The point is to expose where governance breaks first: orphaned findings, stale suppressions, missing owners, or policy drift that current tooling cannot defend later.

How does Faultline help with customer or audit evidence?

Faultline keeps repository governance evidence in one operating view and exports signed audit records. Reviewers can see when snapshots landed, which findings and suppressions existed, why exceptions were still active, who reviewed them, what changed, and whether export bytes match their recorded digest.

Is Faultline a linter?

No. Linters inspect code style or local correctness. Faultline identifies structural governance risk across repositories, ownership, suppressions, policy drift, and evidence lineage.

Is Faultline a code quality or security scanner?

No. Scanners produce observations. Faultline governs what happens after those observations exist: ownership integrity, suppression lifecycle, policy gaps, dependency signals, incident correlation, and audit-ready exports.

Does Faultline upload source code?

No source upload is required by default. The scanner emits a source-free snapshot contract built from repository metadata, package-level signals, findings, suppressions, policy evidence, and audit metadata.

What does the Enterprise product ingest?

Enterprise ingests the metadata-only Faultline snapshot contract plus organization, accountability, audit, and integration metadata. Source code stays in the customer-controlled scanner environment by default.

Is the scanner open source?

Yes. The OSS scanner is Apache 2.0 and locally runnable from the command line or CI.

Does this replace SonarQube?

No. SonarQube is primarily code quality and static analysis. Faultline focuses on what scanner output still cannot prove by itself: ownership integrity, suppression lifecycle, policy evidence, and audit defensibility.

Does this replace Snyk?

No. Snyk focuses on developer security and vulnerability handling. Faultline focuses on the accountability layer those findings still need: owners, exception review, policy state, evidence lineage, and audit defensibility.

Does this replace Datadog?

No. Datadog observes runtime systems. Faultline identifies structural engineering risk signals before and around the delivery process.

Does this replace Vanta or Drata?

No. Compliance platforms manage frameworks, auditor process, and control narratives. Faultline creates the technical repository governance evidence those systems otherwise reconstruct after the fact, when evidence is already degraded.

Can we self-host?

Yes. Enterprise can be deployed in customer-controlled infrastructure for teams with security, compliance, or data residency requirements.

How is Enterprise priced?

Pricing is based on repository and organization scope, not developer seats. Guided pilots start at $5k, with annual Team and Growth plans at $18k and $36k.

Does it support non-Go languages?

Faultline is strongest for Go-heavy organizations today. Non-Go repositories can still participate in governance evidence where metadata and policy signals are available.