Your code has Git history. Your production settings do not. ConfigTrace tracks configuration drift, security posture, and related activity across cloud, SaaS, and developer infrastructure — 20 providers including AWS, GitHub, GitLab, Datadog, Clerk, Jira, Terraform Cloud, and more.
Metadata-only monitoring. No customer data, source code, secret values, payment details, or database rows.
See how ConfigTrace tracks configuration drift, surfaces security posture findings, and connects risk to related activity across cloud, SaaS, and developer infrastructure.
Production-critical settings need a history of changes, a view of risky current states, and a way to connect risk to related activity evidence. ConfigTrace gives you all three, from the same connected providers.
Track production-critical setting changes across cloud, SaaS, and developer infrastructure. See what changed, when, and why it matters.
Find risky current states from provider configuration metadata before they become operational or security review problems.
ConfigTrace evaluates provider configuration metadata and activity event records. It does not inspect payloads, secret values, variable values, state files, or customer data, and it does not confirm breach, compromise, or data exposure. Activity signals and correlations are risk indicators that may require review — not proof of unauthorized access.
Production does not only break because code changes. It breaks because someone changed a setting outside Git — in a cloud console, a vendor dashboard, a CLI, or a misconfigured Terraform run. Code reviews don't see it. CI/CD doesn't catch it. Logs only show the symptom.
ConfigTrace gives those changes a timeline, a risk engine, a review workflow, and a remediation path — the same discipline Git gives source code.
ConfigTrace is a closed loop across the lifecycle of a risky configuration change — from the moment it happens, to the moment it's reviewed, fixed, and explained back to your team and customers.
Without a security timeline, a production incident starts with a question nobody can answer. With one, the answer is already there.
"Prod is degraded. Did code ship? Did DNS change? Did someone touch Cloudflare or Stripe? Was a webhook moved? Who has access? When did it happen?"
Every sync is diffed field-by-field against the last known state — so you see exactly what changed, not just that something did. ConfigTrace reads configuration metadata only. No secret values, no variable values, no state files, no database rows.
A synthetic timeline showing risky drift across cloud, SaaS, and developer infrastructure providers — exactly as it appears inside ConfigTrace. Field-level diffs, risk classification, and a clear next step.
ConfigTrace routes risky drift to the channels your team already uses — Slack, email, webhooks, and browser push — with the context needed to triage and review. Buttons trigger review actions, not provider mutations.
Slack buttons drive review actions inside ConfigTrace — open change, acknowledge, snooze, view remediation. They do not mutate provider resources or apply infrastructure changes.
Every risky change comes with a remediation path — guidance, a fix plan, a dry-run preview, and where Terraform mappings exist, a draft GitHub pull request. Every mutation is review-first and admin-gated.
Each high or critical change ships with plain-English guidance on how to bring it back to a safe state — written for the on-call engineer, not just the cloud expert.
A structured plan of the exact steps that would restore the previous configuration — shown before anything runs, so a reviewer can sanity-check the intent.
A read-only preview of what the fix would change, formatted as a diff against the current live state — no API mutations, no writes against provider resources.
Where ConfigTrace can map a drifted resource to your IaC repo, you'll see the proposed HCL diff inline — surfaced as a suggestion, not an applied change.
An admin can open a GitHub draft PR with the fix proposal as a patch file — explicit confirmation required, admin-gated, low- confidence mappings blocked, review-first by design.
Drift detection alone isn't a workflow. ConfigTrace adds the structure around it — policies, windows, scoring, digests, and change rooms — so security work doesn't drown in alert fatigue.
Define rules for what counts as risky in your workspace — by provider, resource type, or field. Treat the same change differently in staging versus production.
Mark planned maintenance windows so expected drift during a deploy or migration is suppressed from the alert path while still being recorded in the timeline.
A single workspace-level score that tracks how much risky drift goes unreviewed and how fast critical changes get triaged. A signal you can show leadership and customers.
A per-workspace weekly summary of drift, reviewed changes, outstanding critical items, and Drift Control Score trend — for the whole team and for security stakeholders.
For high-impact drift, ConfigTrace opens a change room — a dedicated page with the diff, blast radius, remediation path, notes, and full activity log for the whole team.
High and critical changes land in a single Needs Review queue with acknowledge, snooze, and escalate actions — and an audit trail of who reviewed what, when.
ConfigTrace weighs each detected change by its potential blast radius so your team can triage at a glance — not after the incident is already in progress.
ConfigTrace is designed to support security review — both internal and with your customers. Configuration metadata in. No customer data, secret values, source code, payment details, or database rows out.
Provider credentials are encrypted before storage and never shown again after creation. Read-only or least-privilege scopes are recommended for every integration.
Disconnect a provider from inside ConfigTrace in one click, or rotate / revoke the credential from the provider side. ConfigTrace stops reading immediately.
A per-workspace Trust Center page lists every connected provider, the exact scopes used, what ConfigTrace reads, and what it never reads — built to show to a reviewer.
Export a security packet describing data access boundaries, encryption posture, and audit history. Use it for internal review or customer trust conversations.
Every team action — invites, role changes, integrations, acknowledgements, draft PR creation — is recorded with actor, timestamp, and target.
Production drift sits in a gap between existing tools. ConfigTrace fills that gap — without trying to replace the systems your team already uses.
It is not when everything is working. It is when production breaks and your team needs the answer to one question: what changed?
On-call digs through AWS, Cloudflare, Stripe, GitHub, Vercel, and Slack — trying to reconstruct whether it was a security group, a DNS reroute, a deleted webhook, or a weakened Firestore rule. The clock keeps running.
The exact change — record, old value, new value, risk label — arrives in Slack and email within minutes of the next sync.
Faster root cause. A clear record for the next incident review. A trail your customers and security reviewers can see.
A note from the founder.
"I'm building ConfigTrace because production systems now depend
on dozens of dashboards, not just code. GitHub tells you what
changed in the repo. It does not tell you who changed a DNS record,
webhook URL, branch protection rule, OAuth callback, RLS policy, or
cloud permission.
Your code has Git history. Your production settings do not.
ConfigTrace is my attempt to give those settings the same discipline
code gets from Git — a security timeline with diffs, risk
classification, a review workflow, and a remediation path that stays
review-first."
View the public demo to see ConfigTrace in action with synthetic data, or connect your first provider and capture a baseline before the next risky change happens.
20 providers · metadata-only monitoring · admin-gated remediation