WEBVTT 0:00:06.520000 --> 0:00:12.820000 Hello everyone and welcome to the instant response detection course overview. 0:00:12.820000 --> 0:00:17.060000 So before we get started with this course or any course for that matter, 0:00:17.060000 --> 0:00:22.160000 I always like providing you, the student with an overview of what we will 0:00:22.160000 --> 0:00:28.040000 be covering and we're going to touch on some important aspects of the 0:00:28.040000 --> 0:00:33.600000 course and more importantly, the key learning outcomes or objectives and 0:00:33.600000 --> 0:00:39.340000 this is very important because it allows me to set this stage by firstly 0:00:39.340000 --> 0:00:43.340000 giving you a high level overview of what we'll be covering but more importantly, 0:00:43.340000 --> 0:00:48.360000 giving you an idea or understanding as to what you will know and what 0:00:48.360000 --> 0:00:55.480000 you will be able to do by the students out of the way. 0:00:55.480000 --> 0:00:58.160000 Who am I? My name is Alexis Ahmed. 0:00:58.160000 --> 0:01:01.540000 I'm a red and blue team instructor here at INE. 0:01:01.540000 --> 0:01:06.760000 I'm also senior pen tester and red team lead at Hackersploid and if you 0:01:06.760000 --> 0:01:10.920000 may, if you ask yourself what experience do I have with regard to instant 0:01:10.920000 --> 0:01:14.460000 response, I did work as an instant responder. 0:01:14.460000 --> 0:01:20.460000 Firstly, as a SOC analyst and then as an instant responder, before I went 0:01:20.460000 --> 0:01:26.120000 into the offensive side of cyber security but also returned to incident 0:01:26.120000 --> 0:01:31.860000 response later on after I was a red teamer primarily for the reason of 0:01:31.860000 --> 0:01:37.160000 performing or planning and executing purple team operations to sort of 0:01:37.160000 --> 0:01:40.340000 setting up a red team against a blue team. 0:01:40.340000 --> 0:01:44.960000 In any case, that's a little bit about myself. 0:01:44.960000 --> 0:01:49.780000 Let's start off by taking a look at the key concepts that will be covered 0:01:49.780000 --> 0:01:55.180000 in this course. So given that we're getting it or this course covers the 0:01:55.180000 --> 0:02:01.220000 detection aspect of the detection and analysis phase of the instant response 0:02:01.220000 --> 0:02:06.120000 life cycle, it's going to be geared in that direction. 0:02:06.120000 --> 0:02:11.400000 So the key concept to begin with is understanding the role of detection 0:02:11.400000 --> 0:02:16.320000 in the instant response life cycle, understanding events, alerts and incidents 0:02:16.320000 --> 0:02:20.420000 and getting an understanding of how to distinguish between them. 0:02:20.420000 --> 0:02:24.960000 This is very important because we'll then take a look at log sources and 0:02:24.960000 --> 0:02:32.840000 the process of log shipping, log collection, aggregation, etc. 0:02:32.840000 --> 0:02:36.340000 And more importantly or more specifically in this context, we'll be taking 0:02:36.340000 --> 0:02:40.860000 a look at the standard centralized log collection model which essentially 0:02:40.860000 --> 0:02:48.920000 means configuring logs to be shipped to a centralized log destination 0:02:48.920000 --> 0:02:52.740000 which in most cases is going to be a seam, right? 0:02:52.740000 --> 0:02:57.680000 And then we'll take a look at detection rules and alert triage. 0:02:57.680000 --> 0:03:02.300000 So those are the key concepts and then one more final one would be seam 0:03:02.300000 --> 0:03:06.960000 operations. So we'll be taking a look at you know what a seam is, how 0:03:06.960000 --> 0:03:13.060000 it works, the role it plays with regard to detection, you know, threat 0:03:13.060000 --> 0:03:18.740000 detection specifically and how you know this particular tool is used by 0:03:18.740000 --> 0:03:22.440000 SOC analysts and you know, instant responders. 0:03:22.440000 --> 0:03:25.180000 So that brings us to the major topic. 0:03:25.180000 --> 0:03:28.800000 So if they can look at the key concepts, the major topics, this is where 0:03:28.800000 --> 0:03:33.160000 I sort of out as you know it suggests here, this is where I outline the 0:03:33.160000 --> 0:03:39.680000 major topic. So if we were to break it down into a topic basis, the most 0:03:39.680000 --> 0:03:44.060000 important to begin with would be endpoint network and application log 0:03:44.060000 --> 0:03:48.840000 sources. So we'll get an understanding of log sources but then you know 0:03:48.840000 --> 0:03:53.160000 more specifically we'll be exploring endpoint logs or Linux and Windows, 0:03:53.160000 --> 0:03:55.880000 network and application log sources etc. 0:03:55.880000 --> 0:04:00.660000 So you understand the various sources, you know various log sources or 0:04:00.660000 --> 0:04:03.380000 where logs come from which is very important. 0:04:03.380000 --> 0:04:07.300000 And then we'll you know take a look at Windows and Linux logging fundamentals 0:04:07.300000 --> 0:04:11.660000 which is self explanatory and then as I mentioned in the previous slide 0:04:11.660000 --> 0:04:16.980000 log shipping and aggregation methods and then IUC analysis so indicative 0:04:16.980000 --> 0:04:23.300000 compromise, IUC analysis and alert noise reduction and then building and 0:04:23.300000 --> 0:04:24.880000 tuning detection rules. 0:04:24.880000 --> 0:04:28.540000 So these are sort of the major topics within this course and now that 0:04:28.540000 --> 0:04:31.920000 brings us to a very important aspect of this video which is the learning 0:04:31.920000 --> 0:04:36.480000 outcomes. So to begin with by the end of this course you will have the 0:04:36.480000 --> 0:04:42.740000 ability to identify and work with key log sources across different types 0:04:42.740000 --> 0:04:44.420000 of environments. 0:04:44.420000 --> 0:04:48.980000 You'll also have the ability to utilize seems like Splunk and elk for 0:04:48.980000 --> 0:04:51.540000 centralized detection. 0:04:51.540000 --> 0:04:56.580000 You'll have the ability to analyze alerts, indicators of compromise and 0:04:56.580000 --> 0:05:00.780000 false positives so you have an understanding of how to identify false 0:05:00.780000 --> 0:05:03.280000 positives really quickly. 0:05:03.280000 --> 0:05:07.980000 You'll have the ability to build effective detection rules for real world 0:05:07.980000 --> 0:05:13.580000 incidents or realistic incidents I should say and that brings us now to 0:05:13.580000 --> 0:05:14.420000 the prerequisites. 0:05:14.420000 --> 0:05:18.220000 So what do you need to know before you get started with this course? 0:05:18.220000 --> 0:05:22.000000 To begin with I would recommend you have a basic understanding of cybersecurity 0:05:22.000000 --> 0:05:33.300000 concepts and operating system concepts specifically Windows and Linux 0:05:33.300000 --> 0:05:37.560000 because you know those are the operating systems we're going to be interacting 0:05:37.560000 --> 0:05:42.940000 with primarily. With that being said that brings us to the end of this 0:05:42.940000 --> 0:05:47.300000 video or the end of the course overview video and now that you have an 0:05:47.300000 --> 0:05:51.540000 understanding of you know what we'll be covering and what to expect I'll 0:05:51.540000 --> 0:05:53.860000 be seeing you in the first video in this course.