Cato Networks Tech Stack

Single-vendor SASE platform replacing legacy network security infrastructure

Computer and Network Security Tel-Aviv 1,001–5,000 employees Founded 2015 Privately Held

Cato Networks operates a SASE (Secure Access Service Edge) platform built on SD-WAN, cloud networking, and embedded security. The tech stack reveals a modern, distributed architecture: Kafka for event streaming, ClickHouse for analytics, Kubernetes for orchestration, and a full observability layer (Datadog, Elasticsearch, Grafana). The company is actively replacing Palo Alto Networks, Check Point, and Imperva customers while scaling a sales-heavy org (54 open sales roles against 28 engineering) — suggesting aggressive land-and-expand motion and a focus on customer adoption and renewal velocity as core pain points.

Tech Stack 197 technologies

Core StackJava AWS Go ClickHouse Kafka Kubernetes GraphQL Docker Grafana Datadog React JavaScript TypeScript Elasticsearch MySQL Redis Terraform Ansible Python Intune Wireshark ESX Azure Spring Boot Kibana GCP Apollo Client Sentinel Bash PowerShell+162 more

AdoptingSASE

ReplacingPalo Alto Networks Check Point Imperva Exabeam

What Cato Networks Is Building

◆Challenges

Expanding customer adoption
Reducing customer churn
Detecting emerging threats
Renewals and upsells
Monitoring complex data network infrastructure
Complex integration challenges
Improving business processes
Automation of internal processes
Automation stability
Complex customer deployments

▲Active Projects

Lab environment setup
Lead generation and sales incentive programs
Llm-powered tools
Rag pipelines
Qbrs
Creating cyber kill-chain indicators
New security feature launch
Digital demand generation programs
1:1 abm campaigns
Ai security solutions

Hiring Activity

Accelerating140 roles · 85 in 30d

Department

Sales

Engineering

Support

Product

Security

Marketing

Data

Seniority

Senior

Mid

Director

Manager

Lead

Junior

C-Level

Notable leadership hires: Sales Director, Software Team Lead, Account Director, Product Marketing Director, Engineering Team Lead

Company intelligence

Find more companies like Cato Networks by tech stack, pain points and active projects

Get started free

About Cato Networks

Cato Networks builds a cloud-native SASE platform that consolidates SD-WAN, firewall, threat detection, and data protection into a single vendor offering. The product targets enterprises modernizing hybrid and multi-cloud networks, replacing rigid legacy infrastructure (MPLS, traditional firewalls, separate security appliances) with a modular, cloud-native alternative. Deployed globally across 1,001–5,000-person organization, Cato operates data infrastructure in AWS, Azure, and GCP, with hiring active across 19 countries spanning North America, Europe, Asia, and South America. Core operational challenges center on expanding customer adoption, reducing churn, and automating complex deployments.

HeadquartersTel-Aviv

Company Size1,001–5,000 employees

Founded2015

Hiring MarketsIsrael, Canada, United States, Czechia, Colombia, Japan, France, United Kingdom

Frequently Asked Questions

What tech stack does Cato Networks use?

Cato uses Java, Go, Spring Boot, and React in application layers; Kafka for streaming; ClickHouse for analytics; Kubernetes and Docker for container orchestration; Datadog, Elasticsearch, Grafana for observability; AWS, Azure, GCP for cloud infrastructure; and Terraform/Ansible for infrastructure automation.

What companies is Cato Networks replacing in customer deployments?

Cato is replacing Check Point, Palo Alto Networks, Imperva, and Exabeam — indicating competitive displacement in firewall, data protection, and threat detection categories.

How this profile is built

Cato Networks's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.