Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Splunk Threat Research team recently developed a new analytic story to help security operations center (SOC) analysts detect adversaries executing password spraying attacks against Active Directory environments. In this blog, we’ll walk you through this analytic story, demonstrate how we can simulate these attacks using PurpleSharp, collect and analyze the Windows event logs, and highlight a few detections from the May 2021 releases.

As our digital world turns toward advances in automated technology to increase efficiency and productivity, cybercriminals are also learning how to execute mass automated cyber-attacks. According to the 2021 AT&T Cybersecurity Insights Report, most people are concerned about the security of various applications and 52% believe that these threats challenge the integrity of networks.

A data breach is defined as the unauthorized access to sensitive information about a person – whether it's their personal, financial information, passwords, credit card numbers, social security number, and other sensitive information. It is one of the most costly and damaging issues that can plague any person and company. Unfortunately, it has become a far too common occurrence these days as hackers constantly find ways to break even the most complicated security measures.

While both data warehouses and lakes are big data storage solutions, they are useful in distinctly different situations. Data warehouses store structured data that can be accessed and interpreted by anyone with permission to do so, whereas a data lake is an unstructured storage space for large quantities of raw data. Data lakes store big data in its raw form, with minimal structure and few controls over what data is included or excluded from the storage space.

Today, if you’re running Kubernetes, you know that security is not “built-in.” To secure your clusters, you have to configure, add or build in additional controls. Some are part of Kubernetes, like role-based access control (RBAC), but other best practices include specifying trusted repositories for known-good containers and then layering in runtime scanning tools as well.

DockerCon 2021 brought containerization experts together to discuss all things Docker, from building containerized applications and running container images to improving container security. In this post, we’ll recap a live panel discussing how container security fits into the new cloud native era, how Red Ventures scaled container security scanning with Snyk, and ways to make vulnerability remediation easier.

Cybersecurity can seem intimidating, especially when you’re not already familiar with security and IT. There are so many threats and a lot of terms you need to know in order to understand the countermeasures that can help keep your data safe from attackers. What is an attack surface, after all? And what’s a rootkit? Non-technical employees and decision-makers might find their eyes glazing over when cybersecurity terms start getting thrown around.

In summer 2020, as it became abundantly clear that remote working in response to the COVID-19 pandemic was here to stay, Netskope surveyed more than 400 end-users in the US from across many industries, including telecommunications, IT, government healthcare, finance, nonprofit, and education, about their thoughts related to remote working.

In a world that is constantly evaluating costs, it is little wonder that there is an increasing demand for cost-effective solutions to business problems. In the real world, this means ‘free,’ and in the digital marketplace, it means ‘open source.’

Cloud-native applications that are based on new types of infrastructure such as containers and serverless platforms are being rapidly adopted by organizations worldwide. While cloud-native applications deliver compelling benefits such as elastic scalability, unmatched resilience and rapid development velocity, they also raise challenges.