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Logz.io Achieves AWS Security Competency Status

Logz.io achieved Amazon Web Services (AWS) Security Competency status in the Logging, Monitoring, SIEM, Threat Detection, and Analytics category.

This designation reflects Logz.io’s deep technical expertise and proven success helping customers elevate and enhance their security in the cloud.

The competency designation differentiates Logz.io as an AWS Partner Network (APN) member that provides specialized software designed to help enterprises adopt, develop, and deploy state-of-the-art security practices with AWS. To receive this designation, AWS Partners must show that multiple customers have validated their technology for the specific competency, possess deep AWS expertise with a well-architected infrastructure, and deliver solutions seamlessly on AWS.

“Earning the AWS Security Competency status is a testament to our commitment to enterprise security: large organizations need a SIEM platform that is designed to scale as more and more teams turn to the cloud to run their critical workloads,” said Tomer Levy, CEO at Logz.io. “By working with AWS, we’re making it easier for our customers to aggregate security events from AWS services, combining AWS event data with integrated security intelligence and contextual analysis, ultimately enabling security teams to take critical response actions sooner.”

As today’s cloud environments built on microservice architectures scale and grow more complex, so do their attack surfaces. This translates to growing volumes and varieties of security events that need to be collected with Security Incident & Event Management (SIEM). According to a recent study by 451 Research, SIEM is the most cited technology when security managers are asked to rate what’s important in the security operations center (SOC). SIEM is also the most commonly used service offered by managed security service providers, contends the study.

Logz.io Cloud SIEM centralizes critical security event data from distributed cloud environments, quickly correlating and analyzing that information to surface threats, vulnerabilities, and attacks. In addition to consolidating telemetry across the cloud environment and adjacent security infrastructure, Logz.io offers numerous prebuilt security rules to help flag critical events and prioritize investigation. Logz.io Cloud SIEM is built on the OpenSearch stack — event management software — that enables easy integration and data ingestion from modern cloud environments.

“Advanced threat detection is essential when operating a modern cloud-native environment that support today’s digital business. Logz.io’s Cloud SIEM platform enables customers to correlate data at scale and identify emerging threats in real-time to enable informed responses.” said Dudi Madot, Security Segment Lead at AWS.

A significant element of Logz.io's go to market strategy is oriented toward enabling leading Managed Security Services Providers (MSSPs) to deliver advanced cloud-native security monitoring to their clients. Attaining AWS Security Competency status will also empower those strategic partner organizations to meet the needs of their AWS-focused accounts.

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Logz.io Achieves AWS Security Competency Status

Logz.io achieved Amazon Web Services (AWS) Security Competency status in the Logging, Monitoring, SIEM, Threat Detection, and Analytics category.

This designation reflects Logz.io’s deep technical expertise and proven success helping customers elevate and enhance their security in the cloud.

The competency designation differentiates Logz.io as an AWS Partner Network (APN) member that provides specialized software designed to help enterprises adopt, develop, and deploy state-of-the-art security practices with AWS. To receive this designation, AWS Partners must show that multiple customers have validated their technology for the specific competency, possess deep AWS expertise with a well-architected infrastructure, and deliver solutions seamlessly on AWS.

“Earning the AWS Security Competency status is a testament to our commitment to enterprise security: large organizations need a SIEM platform that is designed to scale as more and more teams turn to the cloud to run their critical workloads,” said Tomer Levy, CEO at Logz.io. “By working with AWS, we’re making it easier for our customers to aggregate security events from AWS services, combining AWS event data with integrated security intelligence and contextual analysis, ultimately enabling security teams to take critical response actions sooner.”

As today’s cloud environments built on microservice architectures scale and grow more complex, so do their attack surfaces. This translates to growing volumes and varieties of security events that need to be collected with Security Incident & Event Management (SIEM). According to a recent study by 451 Research, SIEM is the most cited technology when security managers are asked to rate what’s important in the security operations center (SOC). SIEM is also the most commonly used service offered by managed security service providers, contends the study.

Logz.io Cloud SIEM centralizes critical security event data from distributed cloud environments, quickly correlating and analyzing that information to surface threats, vulnerabilities, and attacks. In addition to consolidating telemetry across the cloud environment and adjacent security infrastructure, Logz.io offers numerous prebuilt security rules to help flag critical events and prioritize investigation. Logz.io Cloud SIEM is built on the OpenSearch stack — event management software — that enables easy integration and data ingestion from modern cloud environments.

“Advanced threat detection is essential when operating a modern cloud-native environment that support today’s digital business. Logz.io’s Cloud SIEM platform enables customers to correlate data at scale and identify emerging threats in real-time to enable informed responses.” said Dudi Madot, Security Segment Lead at AWS.

A significant element of Logz.io's go to market strategy is oriented toward enabling leading Managed Security Services Providers (MSSPs) to deliver advanced cloud-native security monitoring to their clients. Attaining AWS Security Competency status will also empower those strategic partner organizations to meet the needs of their AWS-focused accounts.

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...