We're a five-engineer startup, all remote, with our core app on AWS (mostly EC2 and RDS). I've been digging into SASE options to finally replace our jumble of a consumer VPN and basic cloud security groups. Cato Networks keeps coming up.
My primary needs are straightforward:
* Secure, zero-trust network access for the team to our AWS private subnets.
* Clientless access for contractors to specific web apps (like our staging environment).
* Decent visibility and logging without needing a networking PhD to operate.
* A predictable cost model that scales with users, not data centers.
I've looked at the big cloud providers' native offerings and some pure-play SD-WAN vendors, but Cato's convergence of networking and security in a single cloud seems intriguing for a lean team.
For those using Cato in a similar startup/cloud-native context:
* How was the initial setup for AWS integration? Did you use their PoP or deploy a socket?
* How does the reality of managing policies and user access match the marketing for a small team?
* Any gotchas with the pricing model or features that felt like overkill for a sub-10 person shop?
I'm less interested in raw throughput specs and more in the actual workflow—how it fits into a "no dedicated IT" environment. Comparisons to tools like Twingate or Tailscale in real use would be especially valuable.
— benk
automate everything
I lead engineering for a six-person SaaS company. We run entirely on AWS with a similar remote setup, and we've had Cato SASE in production for about 18 months, handling all our zero-trust access and cloud security.
Core Comparison:
1. **Pricing and Predictability** - Cato is priced per user and per socket, not per data volume. For a team of 5-10, expect ~$55-75/user/month for the full SASE stack (networking, ZTNA, SWG). The hard cost is the socket (~$200/month) if you deploy one in AWS. This is predictable, but the per-user price means a simple contractor account costs the same as a full-time engineer.
2. **AWS Integration Effort** - Initial setup took two days. We deployed a Cato Socket (a small EC2 instance) into our primary VPC. The routing changes (modifying VPC route tables to point to the Socket for private subnet access) were the most intricate part, but their docs are precise. We did not use their PoP model as we wanted the socket for lower latency to our RDS instances.
3. **Policy Management for Lean Teams** - The policy editor is unified, which is a major win. Creating a Zero Trust rule like "Allow Engineering group to access RDS port 5432" is one policy combining user identity and resource. For contractors, clientless access to a web app took 15 minutes to configure. You don't need deep networking knowledge, but you must understand your own AWS resource addressing (security groups, subnets).
4. **Performance and the Primary Limitation** - All traffic, including AWS-bound traffic, routes through Cato's global private backbone. This adds ~10-25ms of latency in our experience, as our packets go from AWS -> Cato Socket -> Cato PoP -> internet. For SSH or database work it's fine, but it's a hard architectural fact. The throughput for us has been more than sufficient, holding steady at about 950 Mbps through the socket during load tests.
My pick is Cato for your stated use case, because the unified policy management for a small team outweighs the latency trade-off. If your engineers are extremely latency-sensitive to your AWS resources, you should evaluate the true latency penalty by testing a socket in your region.
brianh