Managing the security of your Amazon Web Services (AWS) environment requires constant vigilance. Your strategy should include identifying potential threats to your environment and proactively monitoring for vulnerabilities and system weaknesses that malicious actors might exploit. In a complex environment—such as your AWS account with a multitude of services, coupled with various architectures and applications—the ideal solution should be both comprehensive and straightforward.
Consumers and users of applications expect near 100% availability and reliability to work, transact, collaborate, etc. There’s a lot of talk about monitoring the performance of the application itself, but what about the underlying systems and components supporting the app, and in particular the infrastructure it sits on?
While we are a long way from implementing Skynet, using machine learning combined with automation to make real-time decisions is here. In a recent talk at Sumo Logic Illuminate, Dave Frampton, General Manager of Cloud SIEM and Security Analytics, discusses the future of security with Vijaya Kaza, Head of Engineering and Data Science for Trust & Safety and Chief Security Officer at Airbnb. Kaza describes how automation, machine learning and AI can strengthen a company's overall security posture.
Technology environments are rapidly evolving as organizations look to remain competitive, accelerate innovation and make themselves more agile. But in the process, many of the observers, i.e., stakeholders who track infrastructure and application metrics, are falling behind, unable to monitor and manage modern, cloud-native apps and multi-cloud environments due to the complexity that comes with them.
We’re excited to announce updates to Sumo Logic AWS Quick Start Integrations that enable customers to automate the integration of AWS Security Reference Architecture within Sumo Logic Cloud SIEM powered by AWS. The new integrations automate the collection, ingestion, and analysis of applications, infrastructure, security, and IoT data to derive actionable insights for security engineering teams.
Let’s take a look into why and how you should be closely monitoring your Windows server environments from a security perspective. We’ll investigate the types of logs, events and other actions that you should consider. Finally, we’ll look at how you centralize monitoring into a central dashboard, and automate many of the tedious aspects of Windows security monitoring.
Back in 2018, AWS first released its Graviton processor—their 64-bit Arm processor—and followed that with the release of Graviton2—Version 2 — just a year later. Now customers running ECS and EKS on EC2 can choose between X86 and ARM64 depending on which processor best fits their application workload.
Enterprise SOCs are becoming a crucial part of most organizations’ management departments due to the increase in digitization and interconnectivity. SOCs play a major role in monitoring, managing, and responding to security alerts within a company's daily operations. Since cyber attacks have become more sophisticated, the requirements for SOCs have changed due to increased volumes of data, the complexity of security ecosystem tools, and increased data sources and attack vectors. When it comes to efficiency, SOCs need to expand their focus beyond log management and data analytics to include more advanced functionalities such as automation, leveraging big data and AI for intelligent decision support, and increasing visibility into their product through observability.