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SIEM on AWS: What are the Options?

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What Is SIEM?

Security information and event management (SIEM) is a comprehensive technology solution that collects, correlates, and analyzes security-related data from various sources within an organization's IT infrastructure.

SIEM tools facilitate real-time monitoring, threat detection, incident response, and compliance management by aggregating and analyzing log and event data from disparate systems, applications, and devices. These systems provide a centralized view of an organization's security posture, enabling security teams to identify, investigate, and remediate potential security incidents more effectively.

How Has Cloud Infrastructure Redefined Threat Detection?

Cloud infrastructure has significantly redefined threat detection due to its inherent characteristics, such as scalability, elasticity, and distributed nature. While the cloud offers numerous benefits, it also presents unique challenges for traditional SIEM systems to effectively detect and manage threats. Some of these challenges include:

Dynamic environment

Cloud environments are highly dynamic, with resources being created, modified, and deleted frequently. This makes it difficult for traditional SIEM systems to keep up with the ever-changing infrastructure and maintain an accurate inventory of assets for monitoring.

Multi-cloud and hybrid environments

Many organizations use a combination of public, private, and hybrid clouds from multiple providers. This diversity complicates the monitoring process, as SIEM systems must integrate with different APIs, data formats, and platforms, which can be resource-intensive and complex to manage.

Data volume and variety

Cloud environments generate vast amounts of log and event data from various sources, such as virtual machines, containers, storage, and networking components. Traditional SIEM systems may struggle to perform log analytics on this massive volume and variety of data in real-time, leading to delayed threat detection and response.

Data privacy and compliance

Cloud providers have shared responsibility models where they are responsible for the security of the underlying infrastructure, while the customers are responsible for securing their data and applications. This division of responsibilities makes it difficult to ensure that all data collected and analyzed by the SIEM is compliant with various data privacy and protection regulations.

Decentralized architecture

Traditional SIEM systems are typically designed for on-premises environments and may not be well-suited to handle the decentralized nature of cloud infrastructure. As a result, they may lack visibility into certain cloud-native services or struggle to correlate data from disparate sources effectively.

To address these challenges, organizations are increasingly turning to cloud-native SIEM solutions and security tools that are specifically designed to work with cloud infrastructure. These solutions can provide improved visibility, scalability, and adaptability, helping organizations better detect and respond to threats in their cloud environments.

Cloud-Native SIEM Features and Capabilities

Cloud-native SIEM solutions are specifically designed to work with cloud infrastructure, providing improved visibility, scalability, and adaptability to address the unique challenges posed by cloud environments. Key capabilities of cloud-native SIEM include:

  • Scalability: Cloud-native SIEM solutions can scale seamlessly with the growth of an organization's cloud infrastructure, allowing for the efficient processing of large volumes of log and event data without performance degradation.
  • Integration with cloud services: These SIEM solutions are built to natively integrate with various cloud services and platforms, such as AWS, Azure, and Google Cloud Platform. This enables them to collect, analyze, and correlate data from a wide range of cloud-native services and applications.
  • Real-time monitoring and analysis: Cloud-native SIEMs are designed to handle the dynamic nature of cloud environments, providing real-time monitoring and analysis of security events, which enables faster detection and response to potential threats.
  • AI and machine learning: Many cloud-native SIEM solutions leverage artificial intelligence (AI) and machine learning algorithms to identify patterns and anomalies in the vast amounts of data generated by cloud environments. This helps to reduce false positives, improve threat detection accuracy, and enhance the overall efficiency of security operations.
  • Automation and orchestration: Cloud-native SIEMs often include built-in automation and orchestration capabilities, which enable security teams to automate incident response tasks and streamline security operations. This can improve efficiency and reduce the time required to respond to security incidents.
  • Support for multi-cloud and hybrid environments: Cloud-native SIEMs are designed to work with multiple cloud providers and platforms, as well as on-premises environments. This allows organizations to maintain a unified view of their security posture across diverse infrastructure types.
  • Compliance management: Cloud-native SIEM solutions often include features to help organizations maintain compliance with various data privacy and security regulations. They can generate reports, track compliance-related activities, and provide insights into potential compliance risks.

By leveraging these capabilities, cloud-native SIEM solutions can help organizations better detect, analyze, and respond to threats in their cloud environments, overcoming many of the challenges posed by traditional SIEM systems.

SIEM Tools on AWS: What Are the Options?

There are several SIEM tools available on AWS that cater to different organizational needs and requirements. Some popular options include Cribl LogStream, Splunk Cloud, Sumo Logic, and Each of these solutions offers distinct features and capabilities, making them suitable for a variety of use cases:


Exabeam Fusion SIEM is a cloud-native security analytics platform compatible with AWS. It offers advanced features such as behavioral analytics, user and entity behavior analytics (UEBA), and automated threat detection and response. Fusion SIEM simplifies log management and analysis, supporting AWS CloudTrail, VPC Flow Logs, and GuardDuty log sources. With built-in compliance reporting and seamless integration, Exabeam Fusion SIEM provides a comprehensive and scalable SIEM solution for organizations using AWS.

Cribl LogStream

Cribl LogStream is an observability pipeline that allows you to collect, process, and route log and event data from various sources to multiple destinations. It helps optimize the flow of data in and out of your SIEM by filtering, transforming, and enriching events before they reach your SIEM tool. While not a standalone SIEM solution, it can enhance the performance of an existing SIEM deployment and help reduce costs.

Splunk Cloud

Splunk Cloud is the cloud-based version of Splunk Enterprise, a leading SIEM and log management platform. It offers data ingestion, indexing, search, and visualization capabilities, along with advanced analytics powered by machine learning. Splunk Cloud provides real-time monitoring, alerting, and incident response features, enabling security teams to detect and remediate threats in their AWS environments effectively.

Sumo Logic

Sumo Logic is a cloud-native, machine data analytics platform that provides log management and security analytics capabilities. Its SIEM solution, the Sumo Logic Cloud SIEM, is designed to handle the scale and complexity of modern cloud and hybrid environments. It offers real-time threat detection, automated incident response, and compliance management features, helping organizations maintain their security posture across AWS and other platforms. is a cloud-native observability platform that combines log management, infrastructure monitoring, and application performance monitoring (APM) capabilities. Its security analytics module, Security Analytics, leverages machine learning algorithms to provide real-time threat detection, alerting, and incident response. is built on top of open-source technologies like the ELK Stack and is fully compatible with AWS services and infrastructure.


In conclusion, AWS offers a variety of powerful SIEM tools, including Cribl LogStream, Splunk Cloud, Sumo Logic, and, to address diverse security needs in cloud environments. When choosing a SIEM solution on AWS, consider factors such as features, scalability, integration, analytics capabilities, and cost-effectiveness. By aligning your choice with your organization's specific requirements, you can successfully implement a robust SIEM solution to secure your cloud infrastructure.

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