1 00:00:02,220 --> 00:00:04,050 Welcome to the Cyber Traps podcast. 2 00:00:04,050 --> 00:00:05,250 I'm Jethro Jones, your host. 3 00:00:05,250 --> 00:00:08,120 Today I have Aiden McKay with me, and Aiden. 4 00:00:08,370 --> 00:00:10,590 Why don't you introduce yourself and say hello. 5 00:00:11,129 --> 00:00:15,270 Hi, I am Aiden McKay and I think I'll leave it at that. 6 00:00:17,430 --> 00:00:19,005 So, are you a student at EWU? 7 00:00:19,680 --> 00:00:21,570 I am an EWU alumni. 8 00:00:21,660 --> 00:00:29,670 I graduated class of 2022 before going off on some personal adventures for my church before trying to get back into the 9 00:00:29,790 --> 00:00:32,310 I didn't realize that you graduated before you left. 10 00:00:32,580 --> 00:00:33,450 Okay, good. 11 00:00:33,810 --> 00:00:34,620 What'd you graduate in? 12 00:00:35,160 --> 00:00:39,810 I graduated with a Bachelor's of Science with emphasis in computer science. 13 00:00:39,900 --> 00:00:40,680 Okay, good. 14 00:00:41,069 --> 00:00:45,629 And so you're here at the Inch 360 conference and what brought you here today? 15 00:00:46,320 --> 00:00:56,340 Well, firstly, I used to work under Drip seven, one of the main hosts, and so I was aware of it in that way and thought that it wouldn't hurt to show up just with my familiarity. 16 00:00:56,894 --> 00:01:07,155 I'm also kind of looking for jobs at the moment, so I thought it might be a good opportunity to look at some of what the industry is talking about and also to maybe network, should there be potentials out there. 17 00:01:07,395 --> 00:01:07,785 Yeah. 18 00:01:07,845 --> 00:01:08,475 Excellent. 19 00:01:08,475 --> 00:01:12,765 Well, and there definitely are people who are hiring and looking for folks so. 20 00:01:13,450 --> 00:01:24,150 We got a lot of sponsors here who you may be able to find some sort of connection and it's always better as you're looking for a job to know someone in the company than to not know someone. 21 00:01:24,150 --> 00:01:25,380 So that's good. 22 00:01:25,810 --> 00:01:28,060 So what are you hoping to get out of today? 23 00:01:28,190 --> 00:01:32,310 Beyond just getting an idea of what's happening in the cybersecurity space? 24 00:01:34,225 --> 00:01:37,350 honestly, I was kind of leaving that up to exploration. 25 00:01:37,410 --> 00:01:37,620 Yeah. 26 00:01:37,740 --> 00:01:48,420 I didn't have a ton of familiarity with Inch 360, so I looked over the agenda somewhat and there were some interesting topics, but I was kind of just going to see what could be there. 27 00:01:48,470 --> 00:01:48,800 Yeah. 28 00:01:49,100 --> 00:01:54,240 So, you probably only had one session so far 'cause we're still early in the day, but what have you taken away from that one? 29 00:01:55,035 --> 00:02:06,225 I found it interesting the way that a lot of cybersecurity, at least the way they've been talking about it in it so far, is focused on interacting socially with your team and other members of the business. 30 00:02:06,735 --> 00:02:14,895 Because we obviously, as people in the industry understand the various risks associated with cybersecurity threats. 31 00:02:15,045 --> 00:02:17,055 But not everybody else does. 32 00:02:17,055 --> 00:02:28,635 And so it seems that there's a lot more in cybersecurity focused around how to properly convey those things to your coworkers rather than necessarily just the resolving of the issues themselves. 33 00:02:28,685 --> 00:02:30,665 Yeah, I would definitely agree with that. 34 00:02:30,665 --> 00:02:34,475 And resolving the issues is usually a technical problem. 35 00:02:34,910 --> 00:02:37,970 Preventing the issues is usually a personal problem. 36 00:02:38,240 --> 00:02:45,490 And interacting with people and helping them understand how they can take a role in preventing it is an important thing. 37 00:02:45,850 --> 00:02:51,790 Once there is an instant or whatever, there's usually a technical solution to that to resolve it. 38 00:02:52,180 --> 00:02:58,430 And but getting to that point is usually a person in some way involved that. 39 00:02:58,955 --> 00:03:02,285 That, that made it possible for that to happen in the first place. 40 00:03:02,285 --> 00:03:05,495 So understanding the dynamic of those two is, is good. 41 00:03:06,005 --> 00:03:06,575 Alright. 42 00:03:06,625 --> 00:03:11,515 My last question is, you have a bachelor's in computer science. 43 00:03:11,785 --> 00:03:17,965 What was your focus and emphasis and what would you be doing if you had your dream job today? 44 00:03:19,735 --> 00:03:20,455 Well 45 00:03:20,965 --> 00:03:21,205 There 46 00:03:21,205 --> 00:03:29,425 is this one specific South Korean game development studio that I would really like to work for, but that one is very much on the pipe dream side of things. 47 00:03:29,425 --> 00:03:32,725 So mostly I'm actually just looking into software development in general. 48 00:03:33,055 --> 00:03:38,395 I enjoy the act of coding and I just happen to interact with cybersecurity in the process. 49 00:03:38,905 --> 00:03:39,265 So. 50 00:03:39,955 --> 00:03:44,245 If anything in cybersecurity, I'd probably end up more towards pen testing and stuff like that. 51 00:03:44,245 --> 00:03:46,915 But I do want to go into software development primarily. 52 00:03:47,245 --> 00:03:47,725 Gotcha. 53 00:03:47,815 --> 00:03:49,975 And so one more question, sorry. 54 00:03:50,375 --> 00:03:55,775 What is your thought on the AI tools that are available in helping you develop? 55 00:03:58,085 --> 00:04:00,665 I have very mixed feelings about ai. 56 00:04:00,665 --> 00:04:03,270 Having worked with computers for my degree. 57 00:04:04,460 --> 00:04:08,210 I've kind of figured out how much I don't really trust them in a lot of 58 00:04:08,225 --> 00:04:08,855 ways, Uhhuh, 59 00:04:09,110 --> 00:04:28,220 When you see the step-by-step process going from binary into assembly, into the mid-level languages, into the upper level languages, you realize how many layers that even a simple sort of program has to go through, and you start understanding why your computer will sometimes do things that don't make sense, like why would it react this way when I gave it this instruction? 60 00:04:28,220 --> 00:04:33,320 That's because it probably got lost somewhere in all those layers, and then you're taking an AI model. 61 00:04:33,665 --> 00:04:44,795 It is trying to process language, which already is something that's an entire field of study on its own, and then you're backtracking through those layers and you wonder why people talk about things like the AI hallucinating. 62 00:04:45,545 --> 00:04:59,175 And so I think has a lot of potential due to its very honestly pretty accurate and rapid summaries and analyses of large data pools in a way that's understandable to like the average person. 63 00:04:59,250 --> 00:04:59,610 Yeah. 64 00:05:00,195 --> 00:05:07,725 But I think that if you try to be too accurate and too precise or interact with something that's too niche, it starts getting a bit more dangerous. 65 00:05:07,875 --> 00:05:15,375 yeah, the way that I explain it is AI can do anything, but it can't do a very specific thing very well. 66 00:05:15,840 --> 00:05:20,100 And so if you just like, it's very good for the flash in the pan demo. 67 00:05:20,160 --> 00:05:21,660 Like, Hey, check out what this can do. 68 00:05:21,660 --> 00:05:22,980 It can write a whole essay for you. 69 00:05:22,980 --> 00:05:27,720 It can write a program for you and it does that and it looks good. 70 00:05:27,900 --> 00:05:33,300 But if you look under the hood or behind the curtain as it were, then it falls apart pretty quickly. 71 00:05:33,645 --> 00:05:48,105 I once had a program that I just ran through an AI quickly just 'cause I wanted to quickly have it get checked for stuff and I had to spend five iterations of responding to it, telling it that, no, this is not an infinite loop. 72 00:05:48,135 --> 00:05:49,125 I know my code well enough. 73 00:05:49,125 --> 00:05:50,755 This is not an infinite loop. 74 00:05:51,300 --> 00:05:51,900 That's funny. 75 00:05:52,480 --> 00:05:54,640 So what have you been working on lately? 76 00:05:55,215 --> 00:06:04,275 Lately I've mostly just been working on a personal modding project for a game because again, that is kind of where my interests lie. 77 00:06:04,635 --> 00:06:13,395 While I've been trying to find jobs, the job market has not exactly been kind of late, especially with how AI is interacting with entry level software 78 00:06:13,547 --> 00:06:13,815 development. 79 00:06:13,815 --> 00:06:14,295 Yes. 80 00:06:14,325 --> 00:06:14,595 Yeah. 81 00:06:14,775 --> 00:06:20,235 And so I've been finding things to fill my time with while I still hunt for jobs. 82 00:06:20,295 --> 00:06:20,625 Yeah. 83 00:06:20,865 --> 00:06:21,795 And modding a game. 84 00:06:21,795 --> 00:06:23,805 That sounds like some pretty cool stuff too. 85 00:06:24,555 --> 00:06:25,695 Okay, well thank you Aiden. 86 00:06:25,695 --> 00:06:29,055 I appreciate you being here and thanks for taking the time to be on the Cyber TRS Podcast. 87 00:06:29,175 --> 00:06:30,075 Thank you for inviting me.