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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.

Delivering value to customers quickly and efficiently is critical to the success of modern businesses. Understanding the process and timeframe during which an organization generates new ideas and then designs, develops and deploys them is vital to success.

We are living in a data world. Data describes and controls almost every aspect of our life, from the president's elections to everyday grocery shopping. Data grows exponentially and so does the complexity of applications that manage that data.

突発的な脅威の発覚に大切な時間が奪われてしまう。「うわぁLog4J脆弱性！？また週末も出勤かぁ。」

Over the past decade, the software development landscape has shifted dramatically. Long development cycles resulting in big releases are now a thing of the past. Instead, the focus is on delivering value to the customer quickly and efficiently through small releases delivered at a high frequency.

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?

Log4Shell CVE-2021-44228の脆弱性とエクスプロイトに関するSumo Logic SpecOps シチュエーション概説。

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.