Cloud relationship engine

See how your cloud actually connects.

Meshlyr continuously maps every resource across your accounts — how they depend on each other, which business services they power, and where the risk really is. Infrastructure, identity and security, on one live canvas.

Sign up in seconds · explores a full synthetic estate · no cloud access required.
Meshlyr relationship graph — cloud resources and how they connect

One canvas for the whole estate

Not another console. A relationship engine — you ask a question, it prunes the graph to what matters.

Account-wide discovery

Every region, every service — networking, compute, storage, identity, secrets and IaC — mapped with the dependencies that connect them.

Security & drift, in context

Findings from Security Hub, GuardDuty and Access Analyzer land on the exact resource — and drift shows what changed since the last scan.

Business services

Group resources into the services they power — Payments, Checkout, Data Lake — and roll up risk by what the business actually cares about.

Blast radius

Auto-include everything a service depends on. One boundary discovers its whole stack, so impact is a query, not an investigation.

Multi-account, multi-cloud by design

A thin per-cloud adapter over a cloud-neutral model. Onboard accounts read-only; the graph stays provably accurate.

Canvas → IaC

Know which stack owns each resource today; edits become reviewed infrastructure pull requests tomorrow — never blind cloud mutations.

See it in three steps

The demo runs on a full synthetic estate — so you can explore everything without connecting a thing.

Sign up

Create a demo login with your email — a quick verification code and you’re in.

Explore the graph

Drill through VPCs, services and security findings; filter by focus area, region or business service.

Follow the risk

Open a business service, roll up its findings and drift, and trace blast radius across the estate.

Explore the live demo

A full, interactive estate — dashboards, business services, security and drift — on synthetic data.

Start exploring →