Operations | Monitoring | ITSM | DevOps | Cloud

When China built an entire emergency hospital in a matter of days in Wuhan – a city about the size of NYC that most of us had never heard of – the world was watching with concern, but somehow still expected and hoped that the crisis would somehow remain contained to China, or at least Asia. People in Europe and the U.S.

The evolution of Security Information and Event Management (SIEM) is deeply intertwined with cloud computing, both in terms of technological breakthroughs the cloud provided and from its inherent security challenges. With the rise of cloud computing, we no longer rely on long-lived resources. An ephemeral infrastructure obscures the identity of the components and, even if you do have the visibility it doesn’t necessarily mean you can comprehend the meaning behind the components.

With the release of Elastic Security 7.6, we've announced our creation of a modern detection engine that provides SOC teams with a unified SIEM rule experience through Elastic SIEM detections. The detection engine draws from a purpose-built set of Elasticsearch analytics engines and runs on a new distributed execution platform in Kibana.

Today’s businesses spend more money on SaaS tools than on laptops. On average, today’s employees use a minimum of eight different SaaS tools. The security implications of this robust cloud landscape cannot be neglected and we trust you are fully aware of it already. As an IT leader, you are responsible for keeping your company’s cloud infrastructure secure, but with the multitude of cloud apps businesses use on a daily basis, you have less and less control of that security landscape.

The cybersecurity market is ever-changing and primarily driven by sophisticated cyberattacks, disruptive technological growth, and stringent data protection regulations like the GDPR and CCPA. We are constantly evolving our solutions to meet these dynamic market needs. We believe our recognition in the Gartner Magic Quadrant for security information and event management (SIEM) for the fourth consecutive time proves that our efforts have been channeled in the right direction.

Hello, security enthusiasts! This is part seven (can you believe it?) of the Elastic SIEM for home and small business blog series. If you haven’t read the first six blogs in the series, you may want to before going any further. In the prerequisite blogs we created our Elasticsearch Service deployment (part 1), secured access to our cluster by restricting privileges for users and Beats (part 2), then we created an ingest pipeline for GeoIP data and reviewed our Beats configurations (part 3).

Threat intelligence feeds are a critical part of modern cybersecurity. Widely available online, these feeds record and track IP addresses and URLs that are associated with phishing scams, malware, bots, trojans, adware, spyware, ransomware and more. Open source threat intelligence feeds can be extremely valuable—if you use the right ones. While these collections are plentiful, there are some that are better than others.

First things first, why would you want to collect logs from Palo Alto and send them to a Cloud SIEM? There are many reasons. At its core, having a centralized location with a consistent user experience for managing alerts, notifications, and information coming from the technologies securing your environment can provide value in a lot of ways. In this blog, we’ll discuss how to collect, parse, and analyze Palo Alto logs in Logz.io Cloud SIEM, and how it can help secure your cloud workloads.

As the cloud continues to expand with no end in sight, it’s only wise to invest in it. Infrastructure-as-a-Service, Platform-as-a-Service and Software-as-a-Service bring significant cost savings (personnel and ownership), improved performance, better reliability, freedom to scale and - above all - significant security benefits. It’s no wonder that so many businesses have already adopted all three of these models.