Mobile Tracking, Chinese Drone-Flu Terrorism, Message Spying, Bing Misinformation, 23andMe GlaxoSmithKline, Spam Laws, Technology News, Human News, Ideas Trends & Analysis, Discovery, Recommendations, and the Weekly Aphorism…

Mobile Tracking, Chinese Drone-Flu Terrorism, Message Spying, Bing Misinformation, 23andMe GlaxoSmithKline, Spam Laws, Technology News, Human News, Ideas Trends &amp; Analysis, Discovery, Recommendations, and the Weekly Aphorism&hellip;

Unsupervised Learning is a Security, AI, and Meaning-focused podcast that looks at how best to thrive as humans in a post-AI world. It combines original ideas, analysis, and mental models to bring not just the news, but why it matters and how to respond.

Unsupervised Learning is a Security, AI, and Meaning-focused podcast that looks at how best to thrive as humans in a post-AI world. It combines original ideas, analysis, and mental models to bring not just the news, but why it matters and how to respond.

Exploring the fascinating intersection of security, technology, and humans.

Unsupervised Learning

Unsupervised Learning: No. 208

My conversation with Jason Haddix from Flare, Google finds a Zero-Day with AI, Robot Dogs Protecting Mar-a-Lago, and more...

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My conversation with Jason Haddix from Flare, Google finds a Zero-Day with AI, Robot Dogs Protecting Mar-a-Lago, and more...
Subscribe to the newsletter at:  <a href="https://danielmiessler.com/subscribe">https://danielmiessler.com/subscribe</a>
Join the UL community at: <a href="https://danielmiessler.com/upgrade">https://danielmiessler.com/upgrade</a>
Follow on X: <a href="https://twitter.com/danielmiessler">https://twitter.com/danielmiessler</a>
Follow on LinkedIn: <a href="https://www.linkedin.com/in/danielmiessler">https://www.linkedin.com/in/danielmiessler</a>
See you in the next one!

UL NO. 458: Ollama Vulnerabilities, Rating AI Using AI, The Mantis Hack-back Framework

https://api.omny.fm/orgs/070af456-729b-4a0f-9c09-a6c100397b59/clips/094a744c-9e33-4175-957d-b22b013da1d7/transcript

Streamline Your Cybersecurity with Flare Here:
https://try.flare.io/unsupervised-learning/

In this conversation, I speak with Jason Haddix, founder of Arcanum Security and CISO at Flare.

We talk about:

Flare's Unique Approach to Threat Intelligence:
How Flare's capability to uncover compromised credentials and cookies from the dark web and private forums has been crucial in red team engagements.

Challenges of Credential Theft and Advanced Malware Techniques:
How adversaries utilize tools like the RedLine Stealer malware to gather credentials, cookies, and other sensitive information, and this stolen data enables attackers to bypass authentication protocols, emphasizing the need for comprehensive exposure management.

Jason's Journey To Founding Arcanum & Arcanum's Security Training Programs:
How Jason now advises on product development and threat intelligence as Flare's CISO and his journey to fund Arcanum, a company focused on red teaming and cybersecurity, and Arcanum's specialized training programs focusing on offensive security and using AI in security roles. 

And more

Introduction to the Podcast (00:00:00)
Guest Excitement on Podcast (00:00:20)
Jason's New Business and Flare Role (00:00:24)
Career Shift from Ubisoft to Red Teaming (00:01:02)
Evolution of Adversary Tactics (00:02:04)
Flare's Credential Exposure Management (00:02:58)
Synergy Between Arcanum and Flare(00:03:55)
Dark Web Credential Compromise (00:04:45)
Challenges with Two-Factor Authentication (00:06:25)
Cookie Theft and Unauthorized Access (00:07:39)
Redline Malware and Its Impact (00:08:12)
Flare's Research Capabilities (00:09:50)
Potential for Advanced Malware Detection (00:11:40)
Expansion of Threat Intelligence Services (00:12:15)
Vision for a Unified Security Dashboard (00:13:25)
Integrating Threat Intelligence with Identity Management (00:14:00)
Credential Update Notifications via API (00:15:54)
Automated Credential Management Potential (00:17:28)
AI Features in Security Platforms (00:17:32)
Exploration of Automated Security Responses (00:18:38)
Introduction to Arcanum Security (00:19:25)
Overview of Arcanum Training Courses (00:20:25)
Necessity for Up-to-Date Training (00:22:15)
Guest Experts in Training Sessions (00:23:08)
Upcoming Features for Flare (00:25:11)
Integrating Vulnerability Management (00:28:08)
Accessing Flare's Free Trial (00:28:25)
Learning More About Arcanum (00:29:09)

Streamline Your Cybersecurity with Flare Here: <a href="https://try.flare.io/unsupervised-learning/">https://try.flare.io/unsupervised-learning/</a>
In this conversation, I speak with Jason Haddix, founder of Arcanum Security and CISO at Flare.
We talk about:
Flare's Unique Approach to Threat Intelligence: How Flare's capability to uncover compromised credentials and cookies from the dark web and private forums has been crucial in red team engagements.
Challenges of Credential Theft and Advanced Malware Techniques: How adversaries utilize tools like the RedLine Stealer malware to gather credentials, cookies, and other sensitive information, and this stolen data enables attackers to bypass authentication protocols, emphasizing the need for comprehensive exposure management.
Jason's Journey To Founding Arcanum &amp; Arcanum's Security Training Programs: How Jason now advises on product development and threat intelligence as Flare's CISO and his journey to fund Arcanum, a company focused on red teaming and cybersecurity, and Arcanum's specialized training programs focusing on offensive security and using AI in security roles. 
And more
Introduction to the Podcast (00:00:00) Guest Excitement on Podcast (00:00:20) Jason's New Business and Flare Role (00:00:24) Career Shift from Ubisoft to Red Teaming (00:01:02) Evolution of Adversary Tactics (00:02:04) Flare's Credential Exposure Management (00:02:58) Synergy Between Arcanum and Flare(00:03:55) Dark Web Credential Compromise (00:04:45) Challenges with Two-Factor Authentication (00:06:25) Cookie Theft and Unauthorized Access (00:07:39) Redline Malware and Its Impact (00:08:12) Flare's Research Capabilities (00:09:50) Potential for Advanced Malware Detection (00:11:40) Expansion of Threat Intelligence Services (00:12:15) Vision for a Unified Security Dashboard (00:13:25) Integrating Threat Intelligence with Identity Management (00:14:00) Credential Update Notifications via API (00:15:54) Automated Credential Management Potential (00:17:28) AI Features in Security Platforms (00:17:32) Exploration of Automated Security Responses (00:18:38) Introduction to Arcanum Security (00:19:25) Overview of Arcanum Training Courses (00:20:25) Necessity for Up-to-Date Training (00:22:15) Guest Experts in Training Sessions (00:23:08) Upcoming Features for Flare (00:25:11) Integrating Vulnerability Management (00:28:08) Accessing Flare's Free Trial (00:28:25) Learning More About Arcanum (00:29:09)

A Conversation with Jason Haddix from Flare

https://api.omny.fm/orgs/070af456-729b-4a0f-9c09-a6c100397b59/clips/7103eace-01f3-4545-a979-b225015b47c2/transcript

AI Avatar Breaches, Gullibility is Vulnerability: Conspiracy is Threat, Caldera's New Plugin, and more...

Subscribe to the newsletter at: 
https://danielmiessler.com/subscribe

Join the UL community at:
https://danielmiessler.com/upgrade

Follow on X:
https://twitter.com/danielmiessler

Follow on LinkedIn:
https://www.linkedin.com/in/danielmiessler

See you in the next one!

AI Avatar Breaches, Gullibility is Vulnerability: Conspiracy is Threat, Caldera's New Plugin, and more...
Subscribe to the newsletter at:  <a href="https://danielmiessler.com/subscribe">https://danielmiessler.com/subscribe</a>
Join the UL community at: <a href="https://danielmiessler.com/upgrade">https://danielmiessler.com/upgrade</a>
Follow on X: <a href="https://twitter.com/danielmiessler">https://twitter.com/danielmiessler</a>
Follow on LinkedIn: <a href="https://www.linkedin.com/in/danielmiessler">https://www.linkedin.com/in/danielmiessler</a>
See you in the next one!

UL NO. 454: The First AI Breaches

https://api.omny.fm/orgs/070af456-729b-4a0f-9c09-a6c100397b59/clips/cc9827f2-5ea9-463b-8535-b20d00f46de0/transcript

Unsupervised Learning: No. 208

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