Your Mumbai branch reached a Mumbai service via Singapore — Cato SD-WAN puts your branches on a backbone Cato owns and runs — with PoPs in Chennai and Mumbai, so Indian traffic breaks out locally instead of routing through Singapore.
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This page covers SD-WAN — the network edge. The rest of the platform:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
A zero-touch edge onto Cato's own private backbone — 85+ PoPs including Chennai and Mumbai, with a stated 99.999% uptime SLA.
What consolidation actually replaces, dimension by dimension.
| Dimension | MPLS, or the public internet | SD-WAN (Cato) |
|---|---|---|
| The path | Public internet or MPLS | Cato's own private backbone |
| Branch bring-up | An engineer visits | Zero-touch, shipped and plugged in |
| India traffic | Backhauled to Singapore | Local breakout at Chennai or Mumbai |
| The far end | Another appliance | A managed PoP with the stack inside |
| Uptime | Best effort | A stated 99.999% SLA — read the terms |
| What it is NOT | — | Not your choice of path; it is their architecture |
This is one of the few claims you can TEST before signing: measure latency from your own branches during a trial. And note the SLA usually stops at your carrier's last mile — read what it covers.
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
A zero-touch appliance that connects the site to the nearest PoP. The point of zero-touch is operational: a branch can be brought up without sending an engineer, which is what makes a large rollout tractable.
Traffic rides Cato's own network between PoPs rather than the public internet. This is what the latency and uptime claims rest on, and it is the main architectural difference from competitors running on public cloud.
Internet-bound traffic leaves at the nearest PoP instead of being backhauled. With PoPs in Chennai and Mumbai, an Indian branch stops routing through Singapore to reach a service hosted nearby.
Steering traffic by application and link quality, with failover between transports. Standard SD-WAN capability; the difference is that the far end is a backbone rather than another appliance.
One telemetry fabric across endpoint, cloud, and network — threats correlated once, not chased console to console.
Cato SD-WAN connects the branch to a backbone they own — zero-touch, local breakout and the portfolio, and paired with the human firewall.
The edge device connects and pulls its configuration. On a rollout of any size this is the difference between a scheduled project and a travel budget.
Traffic rides their own network between PoPs, in top-tier datacentres interconnected by multiple carriers. This is what the SLA and latency claims are built on.
Internet traffic exits locally rather than backhauling to a central hub. With Chennai and Mumbai PoPs, Indian branches stop routing via Singapore to reach nearby services.
Application-aware routing with failover between transports. Standard SD-WAN work, with the difference that the far end is a managed backbone rather than another box.
The vendor states five-nines uptime. Ask what it covers, how it is measured and what the remedy is — a published SLA is only as useful as its definitions.
SD-WAN is managed from the console that also runs SSE, ZTNA and AI Security. Starting here and adding modules later does not mean a second management plane.
The modular platform, and a customer whose network never stays still.
Starting with one module and expanding.
A network for a team that never stays put.
Running connectivity under real deadlines.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Here’s what genuinely sets it apart — and exactly where it stops.
Most SASE vendors run their security stack on public cloud infrastructure and rely on the internet between points. Cato built and operates the network itself: more than 85 points of presence in regional top-tier datacentres, interconnected by multiple carriers, sharing datacentre footprint with major cloud providers so latency to those clouds is minimal. Everything else on this page follows from that decision — the five-nines SLA is claimable because they control the path, and local breakout is meaningful because there is a PoP near your branch to break out at. It is also the honest limit: your traffic path becomes their architecture decision, and if their backbone is not where you need it, no amount of feature parity compensates.
This is one of very few enterprise purchases where the vendor's central claim can be tested directly rather than taken on trust. Cato operates PoPs in Chennai and Mumbai, so traffic from an Indian branch enters the network in-country instead of being backhauled to Singapore or Europe before breaking out. Whether that helps you specifically depends entirely on where your sites are: a Mumbai head office and a Chennai plant are well served, while a site far from either sees a different picture. Plot your actual locations against the PoP map before anything else in the evaluation, and then measure latency from those sites during a trial. Most software claims cannot be verified this cheaply; this one can.
The interesting question about zero-touch deployment is not whether the box configures itself but what that does to a rollout plan. A hundred-site programme where each site needs a visiting engineer is a scheduling and travel exercise measured in quarters; one where a device is shipped, plugged in and pulls its configuration is measured differently and can proceed in parallel. For distributed Indian enterprises with branches in places where sending a network engineer is genuinely expensive, this changes the project shape more than any throughput number does. It is worth asking what proportion of sites in a comparable rollout actually completed without an on-site visit, because that figure is the real measure.
A stated 99.999% uptime figure is a real commitment and more than many competitors publish. It is also a number whose value lives entirely in its definitions, and those are worth reading before they matter. What is being measured — the backbone, the PoP, the last mile to your site? Whose outage counts, given that the local circuit into a branch is usually a carrier's rather than Cato's? What is the remedy when it is missed, and is it proportionate to the loss or a service credit? None of these questions suggests the figure is unsound; they are the ordinary diligence a network SLA deserves, and a vendor confident in theirs will answer them precisely. TechBag asks them during scoping rather than leaving them to a dispute.
For a network purchase this is the first question, not a detail. Chennai and Mumbai are covered; sites far from a PoP get a different answer.
What is measured, whose outage counts, what the remedy is. A five-nines figure is only as good as the terms behind it.
Measure latency from the sites that matter, not from a lab. This is one of the few claims you can test directly before signing.
Work out how many sites genuinely come up without a visit. That figure, not throughput, is what decides your timeline.
SD-WAN alone is a valid start. Confirm what adding SSE or ZTNA later costs, since that determines whether staging is real.
Backbone performance is the thing you bought. Monitor it from your own sites rather than trusting a dashboard that grades its own homework.
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“We measured latency from our own branches during the trial. That is unusual — most vendor claims cannot be tested that directly before you sign.”
“Zero-touch changed the rollout plan more than the throughput did. Sites came up without sending anyone, which is what made the timeline credible.”
“Read the SLA definitions carefully. The backbone number is strong; the last mile into a branch is still your carrier's problem and should be understood as such.”
“Plot your sites against the PoP map first. Ours mapped well to Mumbai, but a colleague's plant did not, and that decided the outcome for them.”
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the SD-WAN and SASE market — tap any vendor to see why it sits where it does.
Execution strength vs product vision — the classic market map, minus the paywall.
Own backbone, zero-touch, India PoPs.
The grid nobody publishes — depth of the network itself vs how much control you keep over the traffic path.
The backbone is the product.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Against MPLS, a DIY build on the public internet, and other SASE vendors — on the transport, India presence and lock-in.
| Dimension | Cato SD-WAN | MPLS | DIY SD-WAN + internet | Another SASE vendor |
|---|---|---|---|---|
| The transport | Private backbone | Private circuits | Public internet | Usually public cloud |
| India in-country presence | Chennai + Mumbai | Wherever you buy | Your ISPs | Varies |
| Branch deployment | Zero-touch | Weeks to months | Your engineers | Usually zero-touch |
| Uptime commitment | 99.999% stated | Carrier SLA | None | Varies |
| Lock-in profile | One backbone | Contract term | Low | Similar |
| Published pricing | Quote-only | Quote-only | Hardware + circuits | Quote-only |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
SD-WAN is one of 20 sase & sse products TechBag carries. The SASE & SSE guide narrows them to a shortlist and shows the reasoning. →
Drag the sliders (branch sites; monthly circuit cost per site). Estimates model MPLS spend against a backbone service, plus the engineer visits a non-zero-touch rollout requires. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
Quote-only — no published price. Network pricing scales with sites, bandwidth and modules. TechBag maps your estate against the PoPs, then quotes in INR with GST.
Best when MPLS cost is the driver
Best for a broader rollout
Best when security follows
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Tell us your requirements and current tools — we’ll model it against what you spend today.
Take this into your next vendor call — including ours.
Where are your sites relative to Chennai, Mumbai and the nearest international PoPs? Plot this before anything else.
What does the 99.999% figure actually cover, how is it measured, and what is the remedy when missed?
Who owns the circuit into each branch? The backbone SLA typically does not extend to a carrier's local loop.
Can you measure latency from your real branches during a trial? This claim is unusually testable — use that.
What share of sites in a comparable rollout came up without an on-site visit? That number drives the timeline.
If you start with SD-WAN, what does adding SSE or ZTNA later cost? That decides whether staging is genuine.
Are you comfortable that the traffic path becomes their architecture decision rather than yours?
How does the quote scale — per site, per bandwidth tier, per user? There is no published price to anchor against.
Plot your sites against the Chennai and Mumbai PoPs first — that map decides more than any feature comparison — or let a TechBag advisor scope the rollout and read the SLA terms with you.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.