Network Change Management (NCM) is the process of planning, testing, and approving changes to a network infrastructure. The goal is to minimize network disruptions by following standardized procedures for controlled network changes. NCM, or network configuration and change management (NCCM), is all about staying connected and keeping things in check. When done the right way, it lets IT teams seamlessly roll out and track change requests, and boost the network’s overall performance and safety.

Generative AI (à la OpenAI’s GPT and the likes) is a powerful tool for summarizing information, transformations of text, transformation of code, all while doing so using its highly specialized ability to “speak” in a natural human language. While working with GPT APIs on several engineering projects an interesting idea came up in brainstorming, how well would it work when asked to describe information provided in raw JSON into natural language?

As more organizations collectively progress toward adopting a SASE architecture, it has become clear that the traditional SASE market definition (SSE + SD-WAN) is not enough. It forces some teams to work with multiple vendors to address their specific needs, introducing performance and security tradeoffs. More worrisome, it draws focus more to a checklist of services than a vendor’s underlying architecture.

At Cato our number one goal has always been to simplify networking and security, we even wrote it on a cake once so it must be true: Figure 1 – A birthday cake Applying this principle to our XDR offering, we aimed at reducing the complexity of analyzing security and network incidents, using a data-driven approach that is based on the vast amounts of data we see across our global network and collect into our data lake.

Protecting cloud-based applications and workloads requires robust security solutions such as CSPM, CIEM and CWPP. CNAPP tries to answer all 3 but how do you know which solution is right for your specific organization? Ava Chawla, AlgoSec’s Global Head of Cloud Security unravels the differences between them and shares her expert opinion on the solution that offers the most value for organizations.

Legacy VPNs have become a significant security liability for businesses and governments. VPNs require inbound access to corporate networks, significantly broadening the attack surface for malware. This makes them prime targets for threat actors, increasing the risk of disruption to your business.

A web application firewall is a security software that observes and filters HTTP/HTTPS traffic between a web application and the internet. While this has been available for decades, with the evolution of the threat landscape, WAFs have also added additional capabilities to protect not only web apps but also APIs against a range of attacks, including DDoS and bot attacks. So, the category has evolved and is currently called Web Application and API Protection (WAAP).

Network security monitoring is the process of inspecting network traffic and IT infrastructure for signs of security issues. These signs can provide IT teams with valuable information about the organization’s cybersecurity posture. For example, security teams may notice unusual changes being made to access control policies. This may lead to unexpected traffic flows between on-premises systems and unrecognized web applications.

The digital transformation of industrial landscapes has brought unprecedented advancements in efficiency and productivity for Operational Technology (OT) companies. But this surge in connectivity exposes critical infrastructure to heightened cybersecurity risks, such as: To address these risks, OT companies should adhere to the guidelines in the European Union’s Directive on Security of Network and Information Systems (NIS2).

Many security vendors offer automated detection of cloud applications and services, classifying them into categories and exposing attributes such as security risk, compliance, company status etc. Users can then apply different security measures, including setting firewall, CASB and DLP policies, based on the apps categories and attributes. It makes sense to conclude that the more apps are classified, the merrier. However, such a conclusion must be taken with a grain of salt.