Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Networks

Running DeepSeek AI privately using open-source software

Zeek is a powerful open-source network analysis tool that allows users to monitor traffic and detect malicious activities. Users can write packages to detect cybersecurity events, like this GitHub repo that detects C2 from AgentTesla (a well-known malware family). Automating summarization and documentation using AI is often helpful when analyzing Zeek packages.

Are Your VM Scans Testing the Entirety of the Network?

Many organizations have a vulnerability management (VM) problem without knowing it. Vulnerability management is a crucial component of any organization’s cybersecurity program and is required by most major compliance standards because of its sink-or-swim impact on network security. One of the biggest issues in VM is that organizations aren’t testing the entirety of their networks. Could yours be among them?

Cato XDR: Finally, A Tool Built by People Who Actually Read the Logs!

Ever feel like some tools are designed by people who’ve never had to use them? Like those public restroom hand dryers that leave your hands wetter than before, or CAPTCHAs that make you question if you even know what a bicycle looks like—it’s like a bad joke at our expense. In the 2022 Devo SOC Performance Report, questions were raised about the biggest challenges faced by security operations center (SOC) teams.

DDI Central 5.1 is here! Supercharge your networks with more power, more control, less hassle

DDI Central has officially launched its latest version, 5.1 (Service Pack 5001), bringing a powerhouse of automation, real-time insights, security, and efficiency to DNS, DHCP, and IPAM (DDI) management. Packed with features and enhancements such as advanced REST APIs, WebSocket-based real-time collaboration, enhanced analytics, and intuitive tools, this update is designed to streamline network operations, enhance visibility, and drive network performance like never before.

Cato CTRL Threat Research: Advanced Behavioral Analysis of IoT and OT Devices for IoC Collection

In today’s hyperconnected industrial landscape, IoT and OT devices have become integral to modern operations, yet their security posture often remains inadequately monitored. Cato CTRL is revealing a new and innovative approach to IoT/OT threat detection by leveraging advanced behavioral analysis of IoT/OT devices to generate high-confidence Indicators of Compromise (IoCs).

A Guide to S3 Pre-Signed URLs: What They Are and How They Work

This guide explores S3 pre-signed URLs, explaining their purpose, benefits, and how they function. It also includes a demonstration of creating and using pre-signed URLs in the AWS Management Console and highlights their integration within the Forward Networks platform for secure and efficient workflows.

Network Traffic Analysis for Data Exfiltration Detection - How Can It Be Done?

“Cybersecurity is much more than a matter of IT; it’s a matter of national security.” – Barack Obama. Data breaches are more than simply an IT concern; they may cause significant financial losses, regulatory fines, and reputational damage. Cybercriminals are always devising new ways to steal sensitive data, making it difficult for security teams to detect and mitigate these threats before they cause serious harm. This is where Network Traffic Analysis (NTA) comes in.

Security Bulletin: PAN-OS Authentication Bypass Vulnerability

CVE-2025-0108 is a high-severity authentication bypass vulnerability affecting Palo Alto’s PAN-OS, the operating system for their next-generation firewalls. This flaw allows an unauthenticated attacker with network access to the PAN-OS management web interface to bypass authentication controls and execute restricted PHP scripts.

Advanced Network Traffic Analysis: Machine Learning and Its Impact on NTA

Machine Learning (ML) has revolutionized industries by empowering systems to learn from data, make predictions, automate decisions, and uncover insights—all without the need for explicit programming. With ML, systems can: In network security and cybersecurity, ML and other emerging technologies are crucial for detecting malicious activities such as unauthorized access, data breaches, and other complex security threats.