Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What Consistent Leadership Across SSE, SD-WAN, and SASE Signals

GigaOm’s latest analysis highlights a clear shift in the market. As they note, “The standalone Secure Service Edge (SSE) market has largely disappeared, with leading vendors now offering complete SASE solutions that converge software-defined wide-area network (SD-WAN) and SSE into single-vendor platforms. Organizations increasingly favor this consolidated approach to reduce operational complexity and improve visibility.”

Access the App, Not the Network - with Cato Private Access

See how Cato Private Access helps organizations access the app, not the network. In this demo, we show how IT teams can deliver secure access to private applications without routing or firewall changes, while maintaining application-level access control, centralized policy enforcement, and visibility through the Cato Management Application. We also highlight how Cato manages private application access through the Cato SASE platform, enabling a more unified, operationally efficient approach than traditional connector-based architectures.

Three ways intelligent workflows enhance network security

Network security is operationally complex. It involves constant triage, approvals, and monitoring, spread across a range of tools, teams, and environments. Traditionally, this requires teams to do a significant amount of time-consuming, repetitive, and draining manual work, resulting in a longer MTTR and leaving many practitioners overwhelmed and burnt out. The problem isn’t in the tools they use – it’s in the work that happens between tools.

Cato CTRL Threat Brief: AI, Zero-Days, and the US-China Cyber Arms Race

Underlying the US–China AI race, there’s arguably a more sinister arms race—the race to identify zero-day threats. Frontier AI algorithms, such as Anthropic Mythos (here) and China’s Qihoo 360 (here), are compressing the zero-day discovery cycle. But how those discoveries are gathered and shared among cooperating entities is giving China significant defensive and offensive advantages.

BlackToad: Network Manipulation in an AutoIt Payload

Recently, JUMPSEC’s DART (Detection and Response Team) detected a phishing email targeting a client environment. The email, written in Thai and containing a MediaFire download link, was identified as suspicious by an incident responder and we kicked off an investigation. Since then, we have established infrastructure to track the threat actor, analysed the novel payload in detail, and identified several IoCs below.

Invisible Cross-Tracking: How Mobile Apps Share Your Data and How to Stop It

Tracking user activity across apps on mobile devices is crucial, as data no longer flows from a single source on phones. For example, in the span of an hour, a user might open Instagram, Gmail, a shopping app, a weather app, and a free game, while various advertising tools quietly analyze network signals, device behavior, location data, and app usage patterns. A VPN won't remove every unique identifier in these apps, but it does make it harder to connect one link in this tracking chain: the digital network footprint.

Stop Treating AI Like Another SaaS App

Employees are leveraging AI to boost productivity and adopt skills that would take years to learn. This ranges from drafting content, writing code, and building automated workflows. Some of this use is approved. Much of it is not. For many security teams, the first instinct is to treat this risk like they would any other SaaS risk: discover the app, allow or block access, apply DLP rules, and report on usage. That model works for traditional SaaS, but AI is different.