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Cato Networks Bolsters AI Security with AIM Security Acquisition, Advancing SASE Technology Adoption

by Sophie Lin - Technology Editor

Cato Networks Bolsters SASE Platform with AIM Security Acquisition to Secure AI Interactions

Paris, France – october 19, 2025 – Cato Networks, a leading innovator in Secure Access Service edge (SASE) technology, is strengthening its security offerings with the acquisition of AIM Security, an Israeli cybersecurity company. The move, unveiled during the 25th Cybersecurity Conference, addresses rapidly evolving risks connected to the widespread adoption of generative Artificial Intelligence.

The acquisition will integrate AIM Security’s technology into Cato’s existing SASE platform, enhancing its ability to unify networking and security functions for organizations. this is a crucial step as businesses increasingly leverage AI tools like ChatGPT, Copilot, and Gemini, which, while boosting productivity, inadvertently introduce new vulnerabilities.

The Rising Threat Landscape of AI Integration

According to a recent report by Gartner, worldwide information security and privacy spending is projected to reach $185 billion in 2024, with a notable portion dedicated to mitigating AI-related risks.Employees may inadvertently expose sensitive data when interacting with thes tools through prompts, uploaded documents, or copied data fragments.

“Employees sometimes share sensitive data in a prompt manner, without realizing that it is leaving the perimeter of the company or organization,” stated Adrien Porcheron, Country Manager France at Cato Networks. “For Chief Information Security officers, or CISOs, the challenge is no longer simply filtering network traffic, but understanding data flow within these new AI environments.”

How AIM Security Enhances Cato’s SASE Platform

AIM Security specializes in inspecting and securing interactions with generative AI engines. Its technology will enable Cato’s SASE platform to analyze prompts in real time, identify sensitive content, and block its transfer to unauthorized locations. Cato plans to incorporate machine learning algorithms into its existing security engines – including Cloud access Security Broker (CASB), Data Loss Prevention (DLP), and secure web gateway capabilities – to proactively identify and mitigate risky AI usage.

“Our ambition is to enrich our existing security engines with machine learning algorithms capable of recognizing and blocking risky uses,” explained Porcheron. This strategic acquisition reinforces Cato’s commitment to a Zero-Trust security model, emphasizing continuous identity verification, device compliance, and user behavior analysis.

Did You Know? A recent study by Proofpoint found that 84% of organizations have experienced security incidents related to generative AI tools.

Key Features of the Combined Solution

Feature Cato Networks AIM Security Combined Benefit
Core Functionality SASE Platform (Networking & Security) AI Interaction Security Extensive SASE with AI Protection
Threat Detection CASB, DLP, Secure Web Gateway real-time Prompt Analysis Enhanced Threat Intelligence & Response
Access control Zero-Trust Network Access AI Usage Policies Granular Control Over AI Access

Pro Tip: regularly review and update your organization’s AI usage policies to reflect the evolving threat landscape and best practices.

“The challenge is not to ban AI, but to regain control of it,” Porcheron emphasized.With AIM Security, Cato Networks aims to provide organizations with the tools they need to harness the power of AI while maintaining robust security and flexibility.

the Future of SASE and AI Security

The convergence of SASE and AI security represents a critical step in modern cybersecurity. As AI continues to permeate business operations, organizations must adopt proactive measures to protect their sensitive data and maintain regulatory compliance. The acquisition of AIM Security by Cato Networks sets a precedent for how security vendors will adapt to this evolving landscape, prioritizing the seamless integration of security controls within the broader SASE framework.

Looking ahead, expect to see more AI-powered security solutions that leverage machine learning to detect and respond to emerging threats in real-time. The ability to analyze user behavior, identify anomalous activity, and automatically enforce security policies will be essential for organizations navigating the complexities of the modern threat landscape.

Frequently Asked Questions about AI Security and SASE


What are your biggest concerns regarding AI security within your organization? Share your thoughts in the comments below!

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