Cato Networks Reviews, Ratings & Features 2026 | Gartner Peer Insights

AI security testing (AI‑ST) uncovers vulnerabilities and exposures in AI‑enabled systems and applications by applying specialized assessments tailored to the unique risks of machine learning and generative AI. It includes offensive techniques such as automated generation and execution of adversarial prompts, as well as AI component scanning across model repositories, libraries, frameworks, and notebooks. AI‑ST also evaluates model behavior under manipulation, edge cases, and failure modes to identify issues like data leakage, bias, or unsafe outputs. By proactively detecting weaknesses before deployment, AI‑ST helps organizations strengthen resilience, reduce security incidents, and maintain trust in AI‑driven products. Typical users include security teams, AI/ML engineers, red‑teamers, DevSecOps practitioners, and risk or compliance groups responsible for safeguarding AI applications.

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AI Security Testing

Cato SASE Cloud

Cato Networks

Manager Of It Services

Cato SASE Cloud has been a game-changer for our organization’s network security strategy. The convergence of networking and security into a single, cloud-native solution significantly simplified our infrastructure and reduced the overhead of managing multiple point solutions.

50M - 250M USD

<50M USD

10B - 30B USD

Manager, It Security And Risk Management

Does a decent job of keeping users from pasting our source code into open source AI, but managing the actual AI security policies is a bit of a headache. Since its built directly into the broader Cato SASE platform, deployment was easy for us, but AI-specific guarddrails sometimes felt like an evolving Add-on rather than a fully mature tool. Stops basic shadow AI leaks and prompt injection, but reporting and fine-tuning needs work.

Palo Alto Networks

SentinelOne

Zscaler

Adversa AI

Mend.io

HiddenLayer

Pillar Security

Cato Networks provides a single-vendor SASE (Secure Access Service Edge) platform that enables threat prevention, data protection, and incident detection and response. The Cato SASE Cloud Platform allows businesses to replace legacy infrastructure with a modular SASE architecture based on SD-WAN, a purpose-built global cloud network, and an embedded security stack.

Cato’s cloud-native and global service architecture helps businesses secure and optimize their global hybrid workforces, applications, and data both on-premises and in the cloud, supporting their digital transformation efforts.

SASE is a firm that focuses on providing network security and wide area networking in a single cloud-based service. It addresses the challenge businesses face with managing network and data security services in multiple locations by integrating these solutions into a seamless service. The primary issue SASE solves is to streamline the operation and management of network and data security systems which are fundamental for businesses to function and succeed. SASE centralizes the control of these systems, thus reducing complexity and enhancing overall operational efficiency for businesses.

Reviews

Ratings Overview

Overall experience with

Favorable Review

Impact on Infrastructure and Cost Considerations with Cato SASE Cloud Adoption

Critical Review

Shadow AI activity revealed easily, but policy management remains complex

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