Security teams must protect attack surfaces that are becoming bigger and more distributed due to the growth of remote work, cloud infrastructure, and other dynamics. These teams understand that meeting this challenge at scale requires the successful incorporation of the appropriate technology into their security operations program.
Security information and event management, or SIEM, has become part of the vocabulary of every organization. SIEM solutions gather events from multiple systems and analyze them—both in real time and through historical data. SIEM costs—as cyber security costs in general—can be high, but there is a tradeoff if you opt for the FOSS route (free and open source solutions).
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.
SIEMs are powerful tools for monitoring your system for threats, but many simply track pre-selected data, leaving blind spots in your monitoring. Due to the ways SIEMs add indexes to your data, increasing file sizes and processing times, they often make it prohibitively expensive to ingest and store all logs.
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.
