California's Privacy Law, SHA1 exploit, Ransomware Storage, Ring Voyeurs, 20 vs. 2020, ATT&CK ICS, Telecom SMS, Technology News, Human News, Ideas Trends & Analysis, Discovery, Recommendations, and the Weekly Aphorism…

California's Privacy Law, SHA1 exploit, Ransomware Storage, Ring Voyeurs, 20 vs. 2020, ATT&amp;CK ICS, Telecom SMS, 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. 211

https://api.omny.fm/orgs/070af456-729b-4a0f-9c09-a6c100397b59/clips/5af69d0f-8db3-4ac4-a175-ab4101192f06/transcript

NetworkChuck's Fabric Video, Algorithms Replace Degrees, AI Transparency, New Grad Difficulty, Windows Goes Full AI, and more…

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See you in the next one!

NetworkChuck's Fabric Video, Algorithms Replace Degrees, AI Transparency, New Grad Difficulty, Windows Goes Full AI, 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. 434: Can You Articulate Yourself in 50 Words?

https://api.omny.fm/orgs/070af456-729b-4a0f-9c09-a6c100397b59/clips/a08afdf7-9059-446a-aacb-b18201498924/transcript

A new book, A new Fabric pattern, Autonomous fighter jets, Friend trips, and more…

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A new book, A new Fabric pattern, Autonomous fighter jets, Friend trips, 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>
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See you in the next one!

UL NO. 433: China's Flawed Strategy

https://api.omny.fm/orgs/070af456-729b-4a0f-9c09-a6c100397b59/clips/5a7a9fdf-964e-4dbd-9152-b17f0185d1ae/transcript

In this conversation, I speak with Mike Privette. Mike is the CISO and Cybersecurity Economist at Return on Security.

We discuss:
- The economic impact of COVID-19, the shift from prioritizing growth to operational efficiency, and the subsequent market crash and rebound in 2024.

- The rise of AI in application security, the importance of trust and safety, and the potential for AI to enhance personal digital sovereignty. 

-The changing dynamics of startups, venture capital, and private equity in the cybersecurity space. 

Among many other topics.

Introduction and Guest Welcome (00:00)
Return on Security's audience (01:53)
Economic trends in cybersecurity & COVID-19 (05:59)
Shift towards operational efficiency in cybersecurity companies (09:39)
Current cybersecurity trends and rebound effects (13:23)
Application Security and AI (15:05)
The Evolution of AI Security Companies (16:09)
Trust and Safety in Cybersecurity & Discussing Deepfake videos (17:03)
Validation of Ground Truth (19:18)
Personal and corporate security from AI (20:31)
Continuous Defender and AI Filtering (21:31)
Validation of True Content to combat misinformation (23:23)
AI for News Reports and Corporate Communications (26:16)
The Future of AI Security (27:11)
The trend of personal digital sovereignty (31:03)
Private equity vs. VC vs. startups (33:36)
Operational efficiency and the future of startups (36:29)
Cybersecurity industry trends and data science (43:36)
The Universal Dashboard concept (45:15)
Sharing knowledge and connections (45:42)
Check Out Return on Security (45:58)

In this conversation, I speak with Mike Privette. Mike is the CISO and Cybersecurity Economist at Return on Security.
We discuss: - The economic impact of COVID-19, the shift from prioritizing growth to operational efficiency, and the subsequent market crash and rebound in 2024.
- The rise of AI in application security, the importance of trust and safety, and the potential for AI to enhance personal digital sovereignty. 
-The changing dynamics of startups, venture capital, and private equity in the cybersecurity space. 
Among many other topics.
Introduction and Guest Welcome (00:00) Return on Security's audience (01:53) Economic trends in cybersecurity &amp; COVID-19 (05:59) Shift towards operational efficiency in cybersecurity companies (09:39) Current cybersecurity trends and rebound effects (13:23) Application Security and AI (15:05) The Evolution of AI Security Companies (16:09) Trust and Safety in Cybersecurity &amp; Discussing Deepfake videos (17:03) Validation of Ground Truth (19:18) Personal and corporate security from AI (20:31) Continuous Defender and AI Filtering (21:31) Validation of True Content to combat misinformation (23:23) AI for News Reports and Corporate Communications (26:16) The Future of AI Security (27:11) The trend of personal digital sovereignty (31:03) Private equity vs. VC vs. startups (33:36) Operational efficiency and the future of startups (36:29) Cybersecurity industry trends and data science (43:36) The Universal Dashboard concept (45:15) Sharing knowledge and connections (45:42) Check Out Return on Security (45:58)

A Conversation with Mike Privette from Return on Security

https://api.omny.fm/orgs/070af456-729b-4a0f-9c09-a6c100397b59/clips/b391d8ed-7ae4-48a6-b28e-b17a000eccb9/transcript

Unsupervised Learning: No. 211

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