Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

With hybrid work as the new standard, consistently enforcing security across every edge is a challenge for teams. Working from any location or device creates a persistent challenge: how to enforce consistent, risk-based access controls across users, devices, and applications without introducing policy gaps or operational complexity. To understand the impact, let’s consider the user experience within a single global organization operating across three continents.

Somewhere in the first nine months of 2026, AI stopped being a talking point in ransomware and became part of how the work actually gets done. Tracking new ransomware-as-a-service (RaaS) launches, darknet recruitment ads and public incident reporting through this period shows a three-step progression: AI as advertising, AI as an assistant, and AI built directly into ransomware.

Imagine a developer asks a coding agent to investigate a failed deployment. The agent can read the project directory, inspect source code and configuration files, search the web for troubleshooting guidance, and use the developer’s approved tools.

For MSPs and service providers, a managed SASE offering needs to be repeatable across a small and midsize business (SMB) customer base, from selling and licensing, through provisioning and support. But traditional per-customer licensing can introduce friction every time a partner adds or expands a customer. That process can slow onboarding, add administrative work, and limit how partners allocate capacity.

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.