Security Information and Event Management (SIEM) tools play a vital role in helping your organization in discovering threats and analyzing security incidents. Logsign’s internal team continuously makes correlation rules and alerts so that your team’s workload is minimized. In our previous posts, we discussed generating important reports and deriving maximum possible benefits from use cases. In this article, we will be discussing SIEM alerts best practices.

Security and development teams are increasingly adopting DevOps methodologies. However, traditional security tools bolted onto the development process often cause friction, decrease velocity, and require time-consuming manual processes. Manual tools and legacy AppSec approaches limit security teams’ ability to deliver the timely and actionable security feedback needed to drive improvements at the pace of modern development.

While working with customers over the years, I've noticed a pattern with questions they have around operationalizing machine learning: “How can I use Machine Learning (ML) for threat detection with my data?”, “What are the best practices around model re-training and updates?”, and “Am I going to need to hire a data scientist to support this workflow in my security operations center (SOC)?” Well, we are excited to announce that the SplunkWorks team launched a new add-

As companies responded to the COVID-19 pandemic with remote work, cybercriminals increased their social engineering and ransomware attack methodologies. Ransomware, malicious code that automatically downloads to a user’s device and locks it from further use, has been rampant since the beginning of March 2020. According to a 2020 report by Bitdefender, ransomware attacks increased by seven times when compared year-over-year to 2019.

“Doubt is an unpleasant condition, but certainty is an absurd one.” Whilst I claim no particular knowledge of the eighteenth-century philosopher Voltaire, the quote above (which I admit to randomly stumbling upon in a completely unrelated book) stuck in my mind as a fitting way to consider the shift from traditional, perimeter-focused ’network security’ thinking to that of ‘ZTA’ (Zero Trust Architecture.)

Deep packet inspection (DPI) refers to the method of examining the full content of data packets as they traverse a monitored network checkpoint. Whereas conventional forms of stateful packet inspection only evaluate packet header information, such as source IP address, destination IP address, and port number, deep packet inspection looks at fuller range of data and metadata associated with individual packets.

If you boil it down to the most basic difference between GitHub and Bitbucket, it is that GitHub is focused around public code and Bitbucket is for private. GitHub has a huge open-source community and Bitbucket tends to have mostly enterprise and business users. Bitbucket vs Github: Two of the largest source code management services for development projects, offering a variety of deployment models from fully cloud-based to on-premise. Historically, they have taken different approaches to private vs.