Deepfence ThreatMapper vs Kubescape

Deepfence ThreatMapper is a self-hosted security tool that discovers production workloads and ranks threats by exploit risk. It maps pods, containers, applications, and infrastructure, then generates runtime software bills of materials for running workloads and operating systems and checks them against multiple vulnerability feeds. It also detects exposed keys, tokens, and passwords in containers and host filesystems, and evaluates infrastructure settings against CIS, PCI-DSS, HIPAA, and other benchmarks. The Threat Graph links vulnerability, secret, and compliance findings with network flows, security groups, and live status. Its management console runs in containers on a Docker host or dedicated Kubernetes cluster, providing HTTPS administration and API automation. One console can manage different workload types across on-premise and cloud deployments. Documented integrations include Slack, PagerDuty, Jira, Splunk, ELK, Sumo Logic, and AWS S3; image-build scanning supports CircleCI, Jenkins, and GitLab. The project is free under the Apache 2 license. Windows Server support is experimental and not suitable for production use.

Kubescape is an open-source platform for Kubernetes security across configuration, images, compliance, and activity in running clusters. It analyzes Kubernetes manifests, Helm charts, and live clusters for misconfigurations. Its operator scans deployed container images for vulnerabilities using Grype and public vulnerability databases, and monitors active clusters for suspicious behavior and threats. Kubescape supports CIS, NSA-CISA, MITRE ATT&CK, and SOC 2 frameworks. Its policy engine uses Open Policy Agent to evaluate Kubernetes objects against posture controls written in Rego; the operator runs as microservices that continuously monitor cluster posture. Integrations are available for GitHub, GitLab CI/CD, Lens, and Visual Studio Code. The CLI can download artifacts for local use, including in offline and air-gapped environments. Results can be exported as JSON or JUnit XML or rendered as HTML or PDF. The CLI and Kubernetes operator are self-hosted and free under Apache License 2.0. ARMO Platform is a compatible provider for uploading scan results and downloading custom artifacts; its price depends on vCPUs and other cloud resources.