One of the biggest buzzwords (or really, buzz acronyms) to pop up in the cybersecurity space in recent years is XDR, or, extended detection and response. The term was coined in 2018 by Nir Zuk, CTO and co-founder of Palo Alto Networks. It was posited as a new way to think about security, where data is taken from several platforms and it gets correlated and analyzed.
When SecurityDAM (acquired by Radware), a DDoS protection service provider, needed to upgrade their NOC operations, they tested out multiple solutions before choosing MoovingON.ai. From increasing efficiency and visibility to improving ticket resolution times and runbook automation, MoovingON.ai provided the NOC manager and team with everything they needed to run operations more smoothly and effectively.
A recent ESG/ISSA survey highlighted that security professionals are overwhelmed with competing proprietary data standards and integration challenges. Today’s security landscape often comprises dozens of tools, each with its own unique format. Even if the format is defined and widely adopted, like Syslog, implementations vary widely from tool to tool, or even from release to release for the same tool. How big of a problem are these differing data formats?
Automation is like running a marathon. It sounds like a great and noble pursuit until you actually go out and start pursuing it. At that point, it's easy to fail if you don't prepare yourself ahead of time for the challenges that are inherent to the process. Indeed, although automation can provide a number of awesome benefits, whether you actually reap those benefits depends on how easy it is to implement and manage automation tools. And, as many teams discover, doing these things may be harder than it often seems.
According to Accenture’s “State of Cybersecurity Resilience 2021” report, security attacks have increased 31% from 2021 to 2022. This statistic shows that organizations are not ready with a robust security plan and lack continuous network monitoring, resulting in security loopholes. Efficient network infrastructure is crucial for the success of your enterprise.
You wouldn’t let just anyone enter your home, and your network should be no different. Here’s how Firewall as a Service (FWaaS) acts as your cloud infrastructure’s own security guard for better data protection.
Machine learning has infiltrated the world of security tooling over the last five years. That’s part of a broader shift in the overall software market, where seemingly every product is claiming to have some level of machine learning. You almost have to if you want your product to be considered a modern software solution. This is particularly true in the security industry, where snake oil salesmen are very pervasive and vendors typically aren’t asked to vigorously defend their claims.
