A. Telemetry data collected by sensors is analyzed by AI and machine learning to detect threats across cloud workloads.
B. Each module operates independently, focusing on a specific area of security with no need for integration.
C. Threat data is stored locally on endpoints and shared manually with other components for analysis.
D. The platform uses endpoint agents to monitor network traffic and configure firewalls for cloud workloads.
Explanation:
Option A: Falcon Cloud Security’s components work together by using sensors to collect telemetry data, which is analyzed by AI-powered detection engines to identify threats. This integration ensures swift and efficient threat response.
Option B: Falcon Cloud Security components are designed to work together seamlessly within a unified platform, sharing data and insights to provide comprehensive protection.
Option C: Falcon Cloud Security is a cloud-native platform. Threat data collected by sensors is sent to the Falcon cloud for centralized analysis, not stored locally or shared manually.
Option D: Falcon Cloud Security relies on sensors (endpoint agents) to gather telemetry data from workloads, but it does not configure firewalls or directly monitor network traffic.