Panther’s new search experience enables practitioners to leverage disparate data sources in an approachable way, driving fast and effective malware investigations.
In the complex landscape of cybersecurity, staying a step ahead of emerging threats such as crypto mining malware is vital. The introduction of modern, powerful tools and practices such as Cloud-Native Security Information and Event Management (SIEM) systems with Detections as Code (DaC) are transforming the way security professionals combat these threats. In this context, Panther’s new data lake search is setting a new standard for investigating malware incidents.
In this blog, we delve into how Panther, with its blend of software development principles and user-friendly search experiences, aids security practitioners in detecting, investigating, and remediating crypto-mining malware threats. We will discuss the inherent advantages and the incredible value these features bring to the table, especially when combined with a cost-effective, high-scale security data lake.
Detection as Code (DaC) represents a significant shift in malware detection, applying software engineering principles to cybersecurity. It allows security teams to define, manage, and evolve their malware detection rules and logic in code, fostering collaboration, version control, and automation.
Here are some key functional benefits that DaC enables:
Crypto-mining malware attacks are rapidly rising among the broader malware threat landscape, demanding a nuanced investigative approach. After being alerted to a potential crypto mining malware incident, it is critical to quickly investigate what is happening and understand the broader context to contain the damage. When investigating crypto mining malware you need to identify high resource utilization, search for connections to known crypto mining pools, and trace the activity back to possible compromised credentials or an internal threat actor. This rarely involves searching a single log type. It typically requires in-depth cross-log analysis. Panther’s Security Data Lake Search combined with Panther’s enriched fields enhance practitioners’ abilities to search across log types effectively. Our intuitive search experience empowers security teams with:
These capabilities are made possible by using the highly scalable architecture provided by Snowflake’s Data Lake. Sourcing data across network, application, system, and IAM logs (to name a few) is vital for modern security teams. Panther’s new data lake Search with the flexibility of Snowflake makes this data accessible and easy to use.
In the constantly evolving world of cybersecurity, Panther is redefining the fight against malware threats like crypto mining with the help of Detection as Code and interactive search experiences. While enabling the agile development and deployment of detection rules, Panther also democratizes data analysis across the organization.
As you strategize your security measures, consider the potential benefits of these solutions. In a world where new cyber threats can emerge rapidly, having the right tools and an accessible search experience can make a world of difference. Embrace the future of malware detection with Panther’s Cloud-Native, Detection as Code SIEM and unlock new possibilities in cybersecurity.
Learn more about Panther’s enhanced data lake search features and watch a crypto mining investigation in action with Panther’s Webinar: Detecting & Investigating Cloud Crypto Mining.