From a2e77944910e02c8a9bda0483e784a80c5fd733a Mon Sep 17 00:00:00 2001 From: Marcus Bakker Date: Thu, 31 Oct 2019 10:09:30 +0100 Subject: [PATCH] Added a link to the hack.lu 2019 talk --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 6c9da5c..7c10e8a 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ #### Detect Tactics, Techniques & Combat Threats Latest version: [1.2.2](https://github.com/rabobank-cdc/DeTTECT/wiki/Changelog#version-122) -To get started with DeTT&CT, check out this [page](https://github.com/rabobank-cdc/DeTTECT/wiki/Getting-started) and our [blog](https://split.to/FkqwE7U). +To get started with DeTT&CT, check out this [page](https://github.com/rabobank-cdc/DeTTECT/wiki/Getting-started), our [talk](https://www.youtube.com/watch?v=_kWpekkhomU) at hack.lu 2019 and our [blog](https://split.to/FkqwE7U). DeTT&CT aims to assist blue teams using ATT&CK to score and compare data log source quality, visibility coverage, detection coverage and threat actor behaviours. All of which can help, in different ways, to get more resilient against attacks targeting your organisation. The DeTT&CT framework consists of a Python tool, YAML administration files and [scoring tables](https://github.com/rabobank-cdc/DeTTECT/raw/master/scoring_table.xlsx) for the different aspects.