on demand

Detecting & Investigating Cloud Crypto Mining

In this Webinar

  • Learn about the importance of DaC and Code Driven SecOps 
  • Understand how to stay ahead of emerging threats like cloud crypto mining 
  • Zero in on efficient and rapid investigation processes 

Detections-as-Code: A Revolution in Threat Detection 

DaC transforms threat detection by applying software engineering principles to cybersecurity. This paradigm shift empowers security teams to articulate, manage, and evolve detection rules in code, promoting collaboration, version control, and automation. DaC's customization enables organizations to tailor detection rules precisely to their unique requirements, ensuring an optimal match for their threat landscape.

DaC facilitates swift adaptation to evolving threats like cloud crypto mining. Security teams can efficiently customize and enhance detection rules specific to crypto mining, maintaining a vigilant defense against sophisticated tactics. Seamless integration with DevOps and infrastructure-as-code pipelines embeds security throughout the technology stack, from code development in GitHub logs to deployment in AWS logs, strengthening defenses against emerging threats like crypto mining. 

The Importance of Swift and Intuitive Security Investigations 

Swift and intuitive security investigations are paramount in effectively addressing emerging threats like crypto mining. As the cybersecurity landscape continually evolves, the ability to rapidly and seamlessly investigate potential threats becomes a linchpin for maintaining the integrity of digital environments. Every second matters during an investigation and your tools should support a rapid search experience with intuitive, easy-to-interpret results.

Emerging threats like cloud crypto mining often employ sophisticated and ever-changing tactics, strengthening the need for agility and adaptation in both threat detection and response. Swift investigations enable security teams to stay ahead of the curve, identifying and mitigating potential risks before they escalate. Leveraging a cost effective security data lake delivers both budget savings and increased performance for even more efficient investigations. Furthermore, intuitive search results ensure that security analysts can quickly comprehend and react accurately to threats, reducing the window of vulnerability and fortifying overall cybersecurity resilience. 

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