Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Cato CTRL Insights: When Trust Becomes the Payload in a Fake Codex ClickFix Campaign

Attackers are using a fake Codex download experience to trick macOS users into pasting a malicious command into Terminal. This technique, known as ClickFix, relies on social engineering rather than a conventional malware download: the victim is persuaded to perform the execution step themselves. We analyzed sponsored search results leading to convincing Google Sites pages, a no-code website-building and hosting service provided by Google.

The GitHub Outage: How AI-Native SASE Visibility Turns Disruption into Decision

On August 17, 2026 at 13:40 UTC, GitHub first publicly logged that it was investigating elevated errors and latency issues, later reporting broad impact across web and API traffic, Git operations, Actions, Pull Requests, Issues, Pages, Webhooks, and identity-related services. The outage had significant implications for development teams. When GitHub degrades, developer workflows can stop quickly.

Three Years as a Leader. Built for Where the Market Is Going.

Being recognized as a Leader in the Gartner Magic Quadrant for SASE Platforms for the third consecutive year is an important milestone for Cato Networks. We believe it reflects more than consistent execution. It comes at a time when enterprise networking and security are entering another architectural transition, one driven by AI.

The Agentic AI Security Adoption Matrix: Autonomy Scales Where Control Exists

Agentic AI is crossing a threshold. It is no longer just generating content or answering questions. It is beginning to plan, decide, and execute actions across tools, systems, and workflows. That shift unlocks real efficiency, but it also changes the security equation. When an AI system can act, it becomes part of your operational attack surface. It can be influenced, misdirected, or exploited. It can make mistakes at machine speed. And if it has permissions, it can create real impact.

How Cato AI Security Keeps Up With Claude

Claude is moving quickly. Cato is innovating alongside it. With inference hooks, skills posture, and seamless deployment, teams can adopt new AI capabilities with security controls that are ready from day one. Claude’s rapid innovation is reshaping what everyday employees can do with AI. It is no longer just helping people write faster or summarize information; it is becoming a hands-on work companion that can research, reason, build, and take action across business workflows.

Agentic Attacks Require Agentic Threat Prevention

AI-powered attacks are moving faster, adapting in seconds, and overwhelming traditional defenses with machine-speed activity. In this video, Jason Wright explains why security teams need Agentic Threat Defense built on customized predictions, automatic adaptation, and cloud-native scale. Watch how Cato Agentic Threat Prevention helps reduce the risk of AI-powered threats, stop adaptive attacks earlier, and scale prevention to stop agentic attacks.

Defending at machine speed: Predict, Adapt, Stop Agentic Attacks

AI-powered adversaries are accelerating vulnerability discovery and automating attacks. For security teams, the challenge is adaptive attack chains, machine-speed execution, and attack volumes beyond manual workflows. Cato is redefining prevention in the AI era—predicting enterprise-specific attack paths, adapting protections at machine speed, and scaling defense with cloud-native scale. This means enterprises can do more than just react to attacks, they can prevent them.