From c50d758b75d726c185a7e9568a3965aad18f7e2c Mon Sep 17 00:00:00 2001 From: manuelbcd Date: Thu, 13 Oct 2022 15:58:27 +0200 Subject: [PATCH] Update README.md Moved Falco from RASP (it was there by mistake) to Monitoring/Logging. In my next contribution I will sort the category subitems by alphabetical order. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 13d3d06..aaadad8 100644 --- a/README.md +++ b/README.md @@ -96,6 +96,7 @@ Thanks to all [contributors](https://github.com/sbilly/awesome-security/graphs/c - [opensnitch](https://github.com/evilsocket/opensnitch) - OpenSnitch is a GNU/Linux port of the Little Snitch application firewall - [wazuh](https://github.com/wazuh/wazuh) - Wazuh is a free and open source platform used for threat prevention, detection, and response. It is capable of monitoring file system changes, system calls and inventory changes. - [Matano](https://github.com/matanolabs/matano): Open source serverless security lake platform on AWS that lets you ingest, store, and analyze petabytes of security data into an Apache Iceberg data lake and run realtime Python detections as code. +- [Falco](https://falco.org/) - The cloud-native runtime security project and de facto Kubernetes threat detection engine now part of the CNCF. ### IDS / IPS / Host IDS / Host IPS @@ -323,7 +324,6 @@ Provided data: IPv4 hosts, sub/domains/whois, ports/banners/protocols, technolog ### Runtime Application Self-Protection -- [Falco](https://falco.org/) - The cloud-native runtime security project and de facto Kubernetes threat detection engine now part of the CNCF. - [Sqreen](https://www.sqreen.io/) - Sqreen is a Runtime Application Self-Protection (RASP) solution for software teams. An in-app agent instruments and monitors the app. Suspicious user activities are reported and attacks are blocked at runtime without code modification or traffic redirection. - [OpenRASP](https://github.com/baidu/openrasp) - An open source RASP solution actively maintained by Baidu Inc. With context-aware detection algorithm the project achieved nearly no false positives. And less than 3% performance reduction is observed under heavy server load.