Humio is a CrowdStrike Company. Data logging is the process of capturing, storing and displaying one or more datasets to analyze activity, identify trends and help predict future events. Data logging can be completed manually, though most processes are automated through intelligent applications like artificial intelligence (AI), machine learning (ML) or robotic process automation (RPA).
For more information on how to respond to the Log4j vulnerabilities using Splunk products, please see our Log4Shell response overview page. Like most cybersecurity teams, the Splunk Threat Research Team (STRT) has been heads-down attempting to understand, simulate, and detect the Log4j attack vector. This post shares detection opportunities STRT found in different stages of successful Log4Shell exploitation.
There’s only one thing that’s certain in cybersecurity: The cyberthreat landscape is constantly changing, and the tools and solutions we have at our disposal to combat cybercrime must continue evolving if we are to stay ahead of — or at least keep up with — them. As 2021 winds down, the Devo security team is already looking ahead to the most pressing cybersecurity trends likely to appear in 2022. Here are my top three predictions for the new year.
Audit logging involves recording transactions and system events, making it an invaluable tool for regulatory compliance, digital forensics, and information security. In a typical Kubernetes ecosystem, auditing involves providing chronological, activity-relevant records documenting events and actions in a cluster. Modern logging tools come with aggregation and analytical functionalities so that teams can use log data to mitigate security threats.