A new category for production engineering

The Change Safety Control Plane

Every production decision deserves engineering judgment backed by evidence — the judgment your best staff engineer would bring. Today it lives in Slack threads, dashboards, runbooks, and a few people’s heads. ChangeGuard brings it into one place, behind every change. The rest of this page is us proving that claim.

Before. During. After. Every change.

Runs on your Kubernetes today · no credit card · installs in minutes · advisory by default — it never blocks a deploy.

Preserve institutional knowledge

Engineering judgment stays when the people who built it move on.

Reduce deployment risk

Every change checked before it ships. Advisory, never blocking.

Shorten incident response

Cause first, not dashboards first — the change is already found.

Consistent production decisions

The same evidence-backed judgment on every change, every team, every time.

Judgment beyond the experts

Your best engineers’ read, available to everyone on call.

app.changeguard.ai — the control plane
ChangeGuard dashboard showing a CSC score of 85/100, pod and node counts, CIS benchmark, CVE findings, and a pre-flight check panel.
Real product. Change intelligence, risk posture, and a safe-to-ship verdict — one place for the whole fleet.
The lifecycle

One system across the whole life of a change

Not an incident tool. ChangeGuard participates before the change ships, while it rolls out, when something breaks, through recovery — and it learns from the outcome.

Before change

Pre-flight

SHIP / HOLD / BLOCK with the CSC Score GA — plus the Advisor’s read where enabled EA

During rollout

Change Intelligence

Every deploy, config, and GitOps change recorded with its diff GA

Incident

Understanding

The failure correlated to its change; the shared understanding of what’s happening right now GA

Recovery

Verified remediation

Fixes within your policy, verified against real health, one audited rollback GA · opt-in

Learning

Experience

Outcomes become institutional memory, recalled when they change a decision EA

The problem

Engineering judgment disappears every day.

People leave. Runbooks go stale. Slack scrolls away. And when the next incident hits, the same scene plays out:

Someone searches Slack.

Someone remembers an old outage.

Someone asks the staff engineer.

Everyone debates the safest path.

The same mistake happens anyway.

ChangeGuard preserves institutional engineering judgment — and brings it back exactly when the team needs it.

The difference, in ten seconds

From “did anyone deploy?” to an answer

Today
Engineer, in the incident channel“Did anyone deploy?”
Fourteen minutes later“Checking… who owns payments?”
With ChangeGuard
ChangeGuard“Yes. Payments rolled out 37 seconds before the errors began. A previous rollback fixed this same signature. I’d investigate there first.”

Illustrative conversation. Change-to-impact correlation is generally available today; recalling similar past incidents is Early Access.

Before ChangeGuard

  • Three engineers rebuilding context in a Slack thread
  • “What changed?” answered by scrolling deploy logs and Git
  • Rollbacks based on intuition and whoever’s awake
  • The person who’s seen this before is on PTO

With ChangeGuard

  • Immediate change correlation — cause identified, with the diff
  • One shared, current understanding of what’s happening
  • Evidence-backed remediation, within the autonomy you set
  • Recovery that’s verified — not assumed

Qualitative, deliberately: we publish customer metrics when customers give us numbers to publish — not before.

The differentiator

It thinks like an engineer.

Not because it has AI. Because it behaves the way your best engineers do.

It forms an opinion.

An owned position on what’s happening — belief, confidence, tradeoffs — with every claim tied to evidence.

Engineering Opinion · Early Access

It remembers what happened before.

Similar changes, real outcomes, real counts — recalled only when they change the decision.

Engineering Experience · Early Access

It explains its reasoning.

Honest ✓/⚠ factors and why-not-the-obvious-move — shown, not hidden.

Reason · Early Access

It changes its mind when evidence changes.

It maintains the shared understanding of what’s happening right now — and tells you what would change its assessment.

Current Understanding · GA where enabled

It knows when to stay silent.

If nothing is material, it says nothing. No noise to look smart.

Engineering Advisor · Early Access
Product in action

One workflow, end to end

How the pieces fit — from the moment before a deploy to verified recovery. Every frame is the real product.

1

Safe to ship?

A deterministic SHIP / HOLD / BLOCK verdict with the CSC Score GA — and the Engineering Advisor — the teammate that remembers every production change Early Access

Safe to Ship? — pre-flight check
A pre-flight check returning SHIP at CSC 80/100, with an Engineering Advisor note flagging that the cluster has an active incident right now and would reconsider if it were resolved.
2

The deployment ships

Recorded with the exact commit and diff — what actually changed, not just “a deploy happened” GA

The change that shipped
An incident showing 'change that shipped it': acme/payments-api at a commit, with the code diff that altered a scheduled cron expression.
3

Something breaks — the cause is already found

The failure is correlated to the change that shipped it, automatically GA

Incidents — change linked
ChangeGuard Incidents view: failing services labeled 'change linked', with an autonomy control set to Advise.
4

The team shares one understanding

Current Understanding — the shared, maintained read of what’s happening right now, with the root cause, citations, a proposed fix, and how to verify it GA — plus the Engineering Opinion: an owned position with confidence and tradeoffs Early Access

Incident — understanding, evidence & fix
Incident investigation: root cause with high confidence, cited evidence bullets, a proposed code-patch fix, verify criteria, and an activity timeline.
5

Fixed means verified — incident resolved

Within the autonomy you set, the fix is applied and verified against real production health — one audited rollback if verification fails. Only then is the incident resolved, and the fleet returns to green GA · opt-in

Back to green
ChangeGuard dashboard showing a recovered fleet: CSC score back at 85/100 with green connection, scanning, and workload indicators.
Built on engineering principles

Every recommendation follows the same rules

Evidence-backed. Claims cite the records behind them; an uncited claim is dropped.
Honest about uncertainty. Confidence is stated, never invented.
Challengeable. It tells you what would change its mind.
Verified before success. No fix is “done” until real production health says so.
Silent when it can’t improve your decision. No noise to look smart.
Human-controlled. Four autonomy levels, default Advise. You hold the dial.
Why you can trust it

Built like infrastructure, not a demo

Authority over production change is earned. Every claim ChangeGuard makes is tied to evidence, and you decide how much it’s allowed to do.

It cites evidence

The backend owns the facts and the numbers; the model only writes language. An uncited claim is dropped rather than shown — and it tells you what would change its mind.

You control autonomy

Four levels — Observe, Advise, Approve, Auto — default Advise. Nothing executes without a policy you set and, below Auto, a human approval.

Verify before “fixed”

ChangeGuard never claims a fix worked until it’s verified against real production health. If verification fails, it performs one audited rollback and hands the incident to a human.

Least privilege

No cluster-admin, no wildcard permissions. Read-only by default; write access to your workloads only if you opt in, scoped by RBAC you grant.

Tenant isolation

Every tenant’s data is isolated at the database with row-level security. Your cluster data is yours.

It speaks only when it helps

When evidence is missing or the point isn’t material, ChangeGuard says less — not more. It tells you what it can’t see, and it would rather stay silent than invent certainty.

Read the full security & trust model →

How we get there

Earning the category, capability by capability

Today

Understand production

Know what changed, why it broke, and whether it’s safe to ship — with evidence. Generally available.

Tomorrow

Participate in engineering decisions

Opinion, Experience, Reasoning, the Advisor, and shared understanding — in Early Access with design partners now.

Eventually

The full Control Plane

One system your team trusts in every meaningful production decision — the operating system for production engineering.

We label what’s generally available and what’s still emerging. Always.

Give your team’s judgment a memory

Install in minutes, connect a repo, and watch ChangeGuard correlate your next deployment to whatever it touches — and explain it with evidence. Advisory by default; it can’t break anything.