Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.