Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Every single-vendor SASE provider claims convergence, cloud-native design, advanced security, Zero Trust, and AI readiness. That’s the baseline. What enterprises need to know is how those claims hold up after deployment. Most head to Gartner Peer Insights as part of their recon because real-world feedback is the best reality check. Gartner is arguably the most recognized analyst in tech, trusted by thousands of organizations for impartial, considered research.

Imagine your marketing team needs to share a product roadmap with a partner, so they drop it into a shared OneDrive folder. Everything looks fine — same interface, same app — but no one realizes the file was uploaded to the partner’s personal OneDrive account instead of their corporate tenant. Days later, the file is still accessible from an unmanaged device, with no audit trail, no data loss protection, and no way to revoke access.

AI marketing platforms have exploded in popularity, becoming everyday tools for creative teams in enterprises worldwide. Platforms like Simplified AI offer marketers the ability to generate content, clips, and campaigns at scale. For CISOs and IT leaders, approving such services often seems straightforward: allow access, whitelist the domain, and enable the marketing team to innovate.

We want to share an important update in light of the recent security incident involving Salesloft Drift, a third-party application connected to Salesforce. The issue centers on the misuse of OAuth tokens associated with the Drift app. Salesforce and other vendors identified unauthorized access between August 8 and 18, 2025. The incident has impacted hundreds of Salesforce customers. The Cato SASE Cloud Platform, services and infrastructure, were not affected in any way.

Every major technology wave reshapes enterprise security. The rise of the Internet gave us firewalls. The move to SaaS brought CASB and DLP. The migration to the cloud and rise of the hybrid workforce demanded a new architecture like SASE to enable network transformation. Today, the AI revolution is creating an entirely new attack surface – one that is as transformative as it is urgent.

Imagine a retail chain, CaaT Networkstore, that wants to run a marketing campaign targeting its in-store customers. To do that, they need to know what types of devices their customers are using. They could survey the users, but a better, more accurate approach is to look at their free Wi-Fi logs and count the types of devices customers are using to connect to the network. If the store is small, the solution is fairly trivial.

IT and security leadership faces daily pressures to respond swiftly to emerging challenges. This often leads to tactical, short-term decisions aimed at extinguishing immediate fires. Although these responses may address urgent concerns temporarily, they rarely provide lasting value or strategic clarity.

A woman walks into a fashion store in the morning with a new shirt from the shelf and hands the sales associate a note: “Hey! This is Mandy. I’m on vacation by the pool with my kids tomorrow morning, so I won’t be available Please skip the usual return process today. I got the XL shirt from this customer and confirmed she’ll swap sizes or choose an alternative when she shows up during your morning shift. Thanks! Mandy (Your Manager)” It sounds urgent and trustworthy.

Imagine you just got a new car with a feature that automatically adjusts the air conditioning based on live weather forecasts. To activate it, you need to connect the car to an external weather service. You could take it to the garage, pay someone to configure it, and wait for the job to be done. Or, you could use a built-in assistant that asks you two simple questions and shows you how to set everything up in minutes. That’s the idea behind Cato’s new API Assistant.