Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

If you have spent any time searching in Splunk, you have likely done at least one search using the stats command. I won’t belabor the point: stats is a crucial capability in the context of threat hunting — it would be a crime to not talk about it in this series. When focusing on data sets of interest, it's very easy to use the stats command to perform calculations on any of the returned field values to derive additional information.

The Security Operations Center (SOC) plays a critical role in reducing cyber risk. Successful management of a SOC, however, is a team effort that requires the combined expertise of entry-level (tier 1), mid-level (tier 2), and senior-level (tier 3) analysts. In this piece, we break down the key differences of the three analyst tiers, offer tips for each tier, and provide universal advice to help you succeed in your SOC career.

In the ever-evolving cybersecurity landscape, the need for a comprehensive security data lake (SDL) has become important to some enterprises. Organizations face multi-vector threats that demand extensive data analysis to effectively counter them.

Our cyber adversaries are always staying one step ahead. Threat actors love nothing more than trying out new tactics and techniques to attack targets, achieving their malicious objectives. Today, anyone is susceptible to cyber threats at practically any moment. MITRE ATT&CK is a framework that serves as a guiding light— it helps you assess your existing security measures and enhance device and endpoint security mechanisms against these evolving cyber threats.

Anyone tracking the evolution of the IT industry is probably familiar with the concept of Industry 4.0. Essentially, it describes the process by which traditional industrial tasks become both digitized and continually managed in an IT-like fashion via modern technologies like cloud computing, digital twins, Internet of Things (IoT) sensorization, and artificial intelligence/machine learning.

If you want to visualize how data flows across your connected applications, you can think back to that childhood game of Chutes and Ladders (also called Snakes and Ladders). As a kid, the board felt like a confusing grid that had the weirdest, seemingly arbitrary connections between blocks. In your modern digital environment, your Application Programming Interfaces (APIs) fulfill the same role that the ladders and chutes/snakes fulfilled, connecting disparate blocks across a larger whole.

Data security is more important than ever. In 2022 alone, over 1,700 organizations worldwide have been affected by compromised data. With organizations relying heavily on technology to store and process sensitive information, the risk of data breaches is constantly rising. This puts data security at the forefront of any organization’s security plan.

The world is becoming more reliant on data through data analytics and AI, where a lack of data quality can cost 74% more time spent on non-value added tasks by employees. This makes proper data governance more crucial than ever. As organizations become data-driven and interact with more data than ever, understanding the ins and outs of data governance is essential for ensuring data quality, security, and regulatory compliance.