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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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Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ...