Using Ai to Thwart Cloud Ransomware Prt075

Title

AWS re:Invent 2022 - Using AI to thwart cloud ransomware (PRT075)

Summary

  • Holly Bittinger from SentinelOne discusses the use of AI in combating cloud ransomware.
  • Side scanning for vulnerabilities is not effective against real-time ransomware attacks due to its non-real-time nature.
  • Ransomware attacks are rapid, often taking minutes or seconds, making recovery strategies insufficient.
  • Cloud Workload Protection Platforms (CWPP) are essential as the last line of defense in a multi-layered cloud defense strategy.
  • CWPPs detect and respond to threats like ransomware and crypto miners in real-time, providing forensic analysis and persistent telemetry.
  • SentinelOne uses two types of AI for threat detection: static AI for file inspection and behavioral AI for real-time process monitoring.
  • SentinelOne's platform, Singularity Cloud, offers runtime security for various workloads and simplifies the security process with a single console.
  • The platform provides coverage for multiple operating systems, including Amazon Linux 2022, and is available through the AWS marketplace with support for FedRAMP moderate workloads in AWS GovCloud.
  • Key takeaways include CWPP's ability to stop ransomware and other threats, AI-driven EDR for cloud services, persistent forensic detail collection, and improved security team productivity and stress reduction.

Insights

  • The traditional method of side scanning for cloud security is inadequate for the speed and stealth of modern ransomware attacks, which necessitates a shift towards real-time detection and response mechanisms.
  • The analogy of Batman's Batmobile versus a Tesla highlights the importance of having advanced, purpose-built tools (like behavioral AI) for specific tasks such as cybersecurity, rather than relying on general-purpose solutions.
  • The increase in Linux ransomware code variants and the emergence of ransomware as a service indicate a growing threat landscape that requires sophisticated detection tools capable of identifying and mitigating new and evolving threats.
  • SentinelOne's approach to cloud security emphasizes the importance of a high signal-to-noise ratio in incident detection, which is crucial for security teams to effectively prioritize and respond to genuine threats.
  • The integration of CWPP into a broader cloud defense strategy underscores the need for a layered approach to security, where different tools and methods work in concert to provide comprehensive protection.
  • SentinelOne's partnership with AWS and the availability of their solutions on the AWS marketplace demonstrate the trend towards cloud-native security solutions that are designed to work seamlessly with cloud infrastructure and services.