Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

11:11 Systems Network as a Service Demo | 30 minute NaaS Walkthrough

As networks grow more complex, 11:11 Network as a Service (NaaS) makes it easy to connect, secure, and manage your entire environment. From SD-WAN and managed firewalls to hybrid and multi-cloud connectivity, our fully managed service improves performance, strengthens security, and reduces operational burden.

The Missing Layer in Network Security: Continuous Assurance

Some of the most serious network security weaknesses develop gradually through routine operational changes. Firewall rules are adjusted to support business needs, exceptions remain in place longer than planned, and controls are modified during troubleshooting. Over time, those decisions can push the live environment away from the security posture the organization believes it has.

You can't govern what you can't see: Detecting shadow AI on your network

AI adoption inside the enterprise didn't ask for permission. It arrived through browser tabs, code editors, and meeting transcription bots, quietly stitching itself into daily workflows long before security teams could write policy around it. The result is a familiar story with a new villain, a sprawling, unmanaged attack surface that lives in your network traffic but nowhere in your asset inventory. We call it shadow AI, and it's the blind spot you didn't plan for or budget for.

Why Reachability Changes Vulnerability Response

When a critical vulnerability is announced, the first response is often urgency—and sometimes panic. But not every vulnerable asset presents the same level of risk. In this video, Daniel dos Santos, VP of Research, explains how reachability helps security teams move beyond broad vulnerability hunting and focus on the assets that are both vulnerable and exposed in ways that matter to the business. By understanding reachability, organizations can prioritize response efforts, reduce noise, and bring structure to vulnerability management.

Security Strategies That Help Minimize Data Breach Risks

Data compromises happen daily, creating massive headaches for companies of all sizes. Cyber criminals constantly find fresh entry points into modern networks. Smart business leaders focus on proactive defense methods to stay ahead of bad actors. Simple systemic upgrades can keep sensitive customer records safe from harm.

Best MLM Software 2026: How to Choose the Right Network Marketing Platform for Your Business

In my project, I've seen too many network marketing companies crash and burn because they picked the wrong software. It's heartbreaking, really. You pour your soul into building a compensation plan, recruiting distributors, and launching products - only to watch everything crumble because your MLM software can't handle the load. That's why I'm writing this. Not as some generic listicle, but as a real, hands-on guide from someone who's been in the trenches.

What the Black Hat NOC taught me about MCP & agentic SOCs (Chapter 4 of 4)

The first time an MCP (Model Context Protocol) server felt real to me, it wasn't because of a clean demo. It was because of the noise. TL;DR: The harness matters more than the protocol, and the evidence matters more than both. MCP earns its keep when it shortens the path from a good security question to trustworthy evidence, and almost everything interesting about making that work happens in the harness wrapped around the model. In this series, I will cover how to build an MCP for an AI SOC.

Bringing Claude Enterprise Activity into Cato AI Security

Claude is now a part of many employees’ everyday work. But even as a sanctioned application, it creates a visibility problem for security teams. Sensitive data can move into prompts, files, projects, and conversations, and teams need a practical way to see what happened and whether it violates policy.

Cato CTRL Insights: How One Threat Actor Turned Frontier AI Into an Offensive Platform

A Russian-speaking threat actor known as “Trim” has spent the better part of 2026 systematically dismantling the guardrails on publicly available frontier AI models and rebuilding them as offensive tools. What started in March as a knowledge-sharing post on a Russian cybercrime forum detailing how to break Claude Opus into writing malware, had evolved by June into a fully productized, commercially marketed AI-powered penetration testing platform.