Deepfence ThreatMapper vs Falco

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.

Falco is a free, open source runtime security project for Linux and self-hosted environments. It monitors hosts, containers, Kubernetes, and cloud environments for abnormal behavior, potential threats, and compliance violations in real time. Events are compared with built-in detection rules, and users can create rules for their own environments. Sources include Linux kernel system calls, Kubernetes audit logs, cloud events such as AWS CloudTrail, and events from GitHub and Okta. For kernel event monitoring, Falco uses an eBPF driver by default and offers a kernel module for wider compatibility. Installation options cover Linux hosts, Docker containers, and Kubernetes, including official Helm charts; supported architectures include x86_64 and ARM64. Falcosidekick can forward events to more than 50 systems, including email, chat, message queues, serverless functions, and databases. Falco is hosted by the CNCF as a graduated project. Detection depends on having appropriate rules in place, while resource use varies with server load and workload. The project recommends testing performance in the target environment.