David Meece is a SOC Analyst, Cyber Mentor, Educator, and Founder and Creator of CyberTech Dave. He holds a Master of Science degree in Information Systems and has a wide array of skills ranging from Teaching to Virus Removal. David is passionate about Cybersecurity and enjoys using his platform to teach people how to protect themselves and stay safe online.

Chapter Titles:

00:00 Introduction

00:17 Our Guest

01:12 Using LinkedIn to Break into Cybersecurity

07:30 Fake Profiles on Linkedin

08:30 Having a complete profile

10:19 The LinkedIn Algorithm

14:20 Useful Certifications and Resources

26:39 Davids Book about Women in Cyber

32:28 SOC fatigue

36:27 What role does Automation have?

37:46 Will Automation replace a SOC Analyst?

39:30 How can Clients improve their Cybersecurity?

42:35 Risk Assessments: Who should be leading?

45:20 Connecting with David

 

To learn more about David visit LinkedIn

 

Dark Rhino Security’s Security Confidential is a weekly Cybersecurity podcast where Host, Manoj Tandon, talks to Infosec and Cybersecurity professionals about the current issues going on in our industry. Guests are able to share their stories about how they began their journey into cybersecurity and connect with our audience. Listeners are able to tune in through Spotify, Apple Podcasts, Google Podcasts, Amazon Music, iHeartRadio, Youtube, LinkedIn, and more.

For inquiries, please email media@darkrhinosecurity.com

Check out the other episodes in Season 9:

Ep. 1 Jax Scott – Helping Pave the Way for Women in Cyber

Ep. 2 David Meece – The Secrets of LinkedIn’s Algorithm

Ep. 3 Mike Rice – How Smartwatches Lead Iran to U.S. Troops

Ep. 4 Mike Rice – Why is the U.S. Banning Tiktok?

Ep. 5 Shea Nangle – Hack-Back: What does it mean?

Ep. 6 Josh Mason – U.S. Air Force Academy to Teaching Cyber

Ep. 7 Joel Beasley – Stop Playing the Victim Role

Ep. 8 Melissa Thornley – How Do You Build A Leader

Ep. 9 Rory Meikle and Chris Cazel – April 14th Tech News

Ep. 10

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To learn more about Dark Rhino Security visit our website

 

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