Sysdig vs. Lacework

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 a static overview for security and compliance posture, but lacks runtime context to prioritize risk. Offers limited remediation for posture and compliance.

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.

Lacks real-time detection, customization, and timely reporting – leaving customers exposed.

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.

Limited coverage on detection and response with no control over rules engine and detection policies. ML is their only line of defense for detection. Lacework has no Plan B.

Built from the ground up and integrates detection and response, posture and prevention, vulnerabilities, and entitlements. Comprehensive security for VMs, containers, Kubernetes, and serverless.

Includes essential support for cloud-native environments, but lacks the robust detection and response capabilities needed to fully secure them.

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

Black box solution with no visibility into or control over its decision logic.