Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

We told everyone to adopt AI, and they did. Almost anyone can now produce polished, professional work in seconds. The newest shortcut behind that speed is skills: small files that hand an AI agent a new ability. Skills are also where the risk now sits. One file can hold dozens of instructions and actions, so anything buried inside travels with it, and the agent follows all of it without asking. Most of those agents run unwatched, so the speed you gained is now exposure nobody in the business is measuring.

Network edge vulnerabilities are accelerating. Cato’s cloud-native architecture reduces customers’ attack surface and shortens exposure to emerging vulnerabilities. The Cato CVE Exposure Calculator shows what that difference could mean for your organization. Another Known Exploited Vulnerability (KEV). Another emergency CAB. Another weekend spent upgrading firmware. You have to respond. The question is how much each response costs the business.

On Monday, August 17, 2026, Cato recorded record-breaking post-Obon traffic across its Japan Points of Presence (PoPs) as employees returned to work together. At one of Cato’s Tokyo PoPs, traffic rose to more than 15 times its typical level for the same morning period on normal business days.

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.

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.

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.

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.

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 are changing the speed and scale of the defensive challenge. This post explains the challenge, Cato’s new purpose-built capability for addressing it, and what we observed in an end-to-end demonstration.

Defensive asymmetry. The visibility gap. The defender’s dilemma. These terms describe a significant challenge: attackers often succeed because they uncover information defenders either don’t know about or can’t act on quickly enough.