Sysdig vs. Aqua

Correlates assets, activity, and risks across domains. Prioritizes the most critical security risks with runtime insights, using context from real-time detections, vulnerable packages, and permissions.

Provides static vulnerability management but lacks runtime context for vulnerability prioritization. Offers limited posture management and no permissions management, and cannot correlate findings to provide meaningful risk prioritization.

Detects and responds to threats in real time anywhere in the cloud with 360-degree visibility and correlation across workloads, identities, cloud services, and third-party applications.

Limited detection coverage and no threat detection for cloud logs, resulting in blind spots. Lacks robust forensic capabilities for investigation and response.

Consolidates security with an end-to-end detection approach combining drift control, machine learning, and Falco detections curated by the Sysdig Threat Research Team. Combines agent and agentless approaches to deliver deep coverage and ease-of-use setup and maintenance.

Offers strong coverage for containerized environments but lacks end-to-end detection and correlation of cloud infrastructure beyond containers.

Multi-layered enrichment that combines hosts, containers, Kubernetes, and cloud metadata.

Lacks runtime context to correlate signals and events across wider cloud context.

Powered by Falco, a CNCF graduated project and the open source solution for cloud threat detection.

Utilizes several foundational open source tools (Trivy, Tracee, Cloudsploit)