Stolen Cards Stolen, Autoclerk Hacked, TeamViewer Hacked, Russia Pretending to be Iranian, JackSpotting, Pixel4 Faces, FrenchFacRec, Samsung Fingerprints, Technology News, Human News, Ideas Trends & Analysis, Discovery, Recommendations, and the Weekly Aphorism…

Stolen Cards Stolen, Autoclerk Hacked, TeamViewer Hacked, Russia Pretending to be Iranian, JackSpotting, Pixel4 Faces, FrenchFacRec, Samsung Fingerprints, Technology News, Human News, Ideas Trends &amp; Analysis, Discovery, Recommendations, and the Weekly Aphorism&hellip;

Unsupervised Learning is about ideas and trends in Cybersecurity, National Security, AI, Technology, and Culture—and how best to upgrade ourselves to be ready for what's coming.

Unsupervised Learning is about ideas and trends in Cybersecurity, National Security, AI, Technology, and Culture&mdash;and how best to upgrade ourselves to be ready for what's coming.

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

Unsupervised Learning

Unsupervised Learning: No. 199

➡ Stay Ahead of Cyber Threats with AI-Driven Vulnerability Management with Maze:
https://mazehq.com/

In this conversation, I speak with Harry about how AI is transforming vulnerability management and application security. We explore how modern approaches can move beyond endless reports and generic fixes, toward real context-aware workflows that actually empower developers and security teams.

We talk about:

The Real Problem in Vulnerability Management
Why remediation—not just prioritization—remains the toughest challenge, and how AI can help bridge the gap between vulnerabilities and the developers who need to fix them.

Context, Ownership, and Velocity
How linking vulnerabilities to the right applications and teams inside their daily tools (like GitHub) reduces friction, speeds up patching, and improves security without slowing developers down.

AI Agents and the Future of Security
Why we should think of AI agents as “extra eyes and hands,” and how they’re reshaping everything from threat detection to system design, phishing campaigns, and organizational defense models.

Attackers Move First
How attackers are already building unified world models of their targets using AI, and why defenders need to match (or exceed) this intelligence to stay ahead.

From Days to Minutes
Why the tolerance for vulnerability windows is shrinking fast, and how automation and AI are pushing us toward a future where hours—or even minutes—make the difference.

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

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

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

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

Chapters:

00:00 – Welcome and Harry’s Background
01:07 – The Real Problem: Remediation vs. Prioritization
04:31 – Breaking Down Vulnerability Context and Threat Intel
05:46 – Connecting Vulnerabilities to Developers and Workflows
08:01 – Why Traditional Vulnerability Management Fails
10:29 – Startup Lessons and The State of AI Agents
13:26 – DARPA’s AI Cybersecurity Competition
14:29 – System Design: Deterministic Code vs. AI
16:05 – How the Product Works and Data Sources
18:01 – AI as “Extra Eyes and Hands” in Security
20:20 – Breaking Barriers: Rethinking Scale with AI
23:22 – Building World Models for Defense (and Attack)
25:22 – Attackers Move Faster: Why Context Matters
27:04 – Phishing at Scale with AI Agents
31:24 – Shrinking Windows of Vulnerability: From Days to Minutes
32:47 – What’s Next for Harry’s Work
34:13 – Closing Thoughts

➡ Stay Ahead of Cyber Threats with AI-Driven Vulnerability Management with Maze: <a href="https://mazehq.com/?utm_source=unsupervised-learning&amp;utm_medium=interview-daniel-messer&amp;utm_campaign=influencer">https://mazehq.com/</a>
In this conversation, I speak with Harry about how AI is transforming vulnerability management and application security. We explore how modern approaches can move beyond endless reports and generic fixes, toward real context-aware workflows that actually empower developers and security teams.
We talk about:
The Real Problem in Vulnerability Management Why remediation&mdash;not just prioritization&mdash;remains the toughest challenge, and how AI can help bridge the gap between vulnerabilities and the developers who need to fix them.
Context, Ownership, and Velocity How linking vulnerabilities to the right applications and teams inside their daily tools (like GitHub) reduces friction, speeds up patching, and improves security without slowing developers down.
AI Agents and the Future of Security Why we should think of AI agents as &ldquo;extra eyes and hands,&rdquo; and how they&rsquo;re reshaping everything from threat detection to system design, phishing campaigns, and organizational defense models.
Attackers Move First How attackers are already building unified world models of their targets using AI, and why defenders need to match (or exceed) this intelligence to stay ahead.
From Days to Minutes Why the tolerance for vulnerability windows is shrinking fast, and how automation and AI are pushing us toward a future where hours&mdash;or even minutes&mdash;make the difference.
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://x.com/danielmiessler">https://x.com/danielmiessler</a>
Follow on LinkedIn: <a href="https://www.linkedin.com/in/danielmiessler">https://www.linkedin.com/in/danielmiessler</a>
Chapters:
00:00 &ndash; Welcome and Harry&rsquo;s Background 01:07 &ndash; The Real Problem: Remediation vs. Prioritization 04:31 &ndash; Breaking Down Vulnerability Context and Threat Intel 05:46 &ndash; Connecting Vulnerabilities to Developers and Workflows 08:01 &ndash; Why Traditional Vulnerability Management Fails 10:29 &ndash; Startup Lessons and The State of AI Agents 13:26 &ndash; DARPA&rsquo;s AI Cybersecurity Competition 14:29 &ndash; System Design: Deterministic Code vs. AI 16:05 &ndash; How the Product Works and Data Sources 18:01 &ndash; AI as &ldquo;Extra Eyes and Hands&rdquo; in Security 20:20 &ndash; Breaking Barriers: Rethinking Scale with AI 23:22 &ndash; Building World Models for Defense (and Attack) 25:22 &ndash; Attackers Move Faster: Why Context Matters 27:04 &ndash; Phishing at Scale with AI Agents 31:24 &ndash; Shrinking Windows of Vulnerability: From Days to Minutes 32:47 &ndash; What&rsquo;s Next for Harry&rsquo;s Work 34:13 &ndash; Closing Thoughts

A Conversation With Harry Wetherald CO-Founder & CEO At Maze

https://api.omny.fm/orgs/070af456-729b-4a0f-9c09-a6c100397b59/clips/e0352a6a-43e6-4b60-b359-b3560146f807/transcript

➡ Upgrade your presentations with Gamma, the best AI presentation maker: https://gamma.app

In this conversation, I speak with Grant, co-founder of Gamma, about how their platform is transforming presentations and idea-sharing. Instead of starting with slides, Gamma helps you focus on the story first—then builds the visuals, structure, and delivery around it using AI.

We talk about:

From Slides to Stories
Why presentations should begin with narrative flow and core ideas, not pre-existing slide templates. Gamma enables creators to design around the message rather than being trapped by the format.

AI as Your Presentation Partner
How Gamma acts like a personal design expert—adjusting layouts, visuals, and style in real time—similar to having a world-class presentation coach and designer by your side.

Idea Propagation Beyond Slides
Why Gamma isn’t just about “slides,” but about propagating ideas in the right medium: presentations, video overlays, mobile-first content, or even context-based imagery and clips.

The Future of Gamma
Where the platform is headed in the next few years, and how AI-driven storytelling will redefine the way we share ideas across industries.

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

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

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

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

Chapters:

00:00 – Introduction to Unsupervised Learning
00:17 – Welcome Grant and Gamma’s Background
01:31 – AI Trends Driving Presentation Innovation
03:20 – Story First: Rethinking Workflow Beyond Slides
04:29 – Building Narrative Flow Before Design
07:42 – Gamma as an AI Presentation Partner
09:43 – What Gamma Does Differently from Other Tools
12:27 – Idea Propagation: Matching Message, Medium, and Audience
13:23 – Enhancing Presentations with Images, Clips, and Context
15:15 – Current Graphics and Animation Options
17:03 – Most Popular and Favorite Features in Gamma
18:05 – What’s Coming Soon in Gamma
19:08 – The Future of Idea Propagation with AI
20:46 – Where to Learn More About Gamma
21:21 – Closing Thoughts

➡ Upgrade your presentations with Gamma, the best AI presentation maker: <a href="https://gamma.app/es?utm_content=unsupervised-learning&amp;utm_medium=creator">https://gamma.app</a>
In this conversation, I speak with Grant, co-founder of Gamma, about how their platform is transforming presentations and idea-sharing. Instead of starting with slides, Gamma helps you focus on the story first&mdash;then builds the visuals, structure, and delivery around it using AI.
We talk about:
From Slides to Stories Why presentations should begin with narrative flow and core ideas, not pre-existing slide templates. Gamma enables creators to design around the message rather than being trapped by the format.
AI as Your Presentation Partner How Gamma acts like a personal design expert&mdash;adjusting layouts, visuals, and style in real time&mdash;similar to having a world-class presentation coach and designer by your side.
Idea Propagation Beyond Slides Why Gamma isn&rsquo;t just about &ldquo;slides,&rdquo; but about propagating ideas in the right medium: presentations, video overlays, mobile-first content, or even context-based imagery and clips.
The Future of Gamma Where the platform is headed in the next few years, and how AI-driven storytelling will redefine the way we share ideas across industries.
Subscribe to the newsletter: <a href="https://danielmiessler.com/subscribe">https://danielmiessler.com/subscribe</a>
Join the UL community: <a href="https://danielmiessler.com/upgrade">https://danielmiessler.com/upgrade</a>
Follow on X: <a href="https://x.com/danielmiessler">https://x.com/danielmiessler</a>
Follow on LinkedIn: <a href="https://www.linkedin.com/in/danielmiessler">https://www.linkedin.com/in/danielmiessler</a>
Chapters:
00:00 &ndash; Introduction to Unsupervised Learning 00:17 &ndash; Welcome Grant and Gamma&rsquo;s Background 01:31 &ndash; AI Trends Driving Presentation Innovation 03:20 &ndash; Story First: Rethinking Workflow Beyond Slides 04:29 &ndash; Building Narrative Flow Before Design 07:42 &ndash; Gamma as an AI Presentation Partner 09:43 &ndash; What Gamma Does Differently from Other Tools 12:27 &ndash; Idea Propagation: Matching Message, Medium, and Audience 13:23 &ndash; Enhancing Presentations with Images, Clips, and Context 15:15 &ndash; Current Graphics and Animation Options 17:03 &ndash; Most Popular and Favorite Features in Gamma 18:05 &ndash; What&rsquo;s Coming Soon in Gamma 19:08 &ndash; The Future of Idea Propagation with AI 20:46 &ndash; Where to Learn More About Gamma 21:21 &ndash; Closing Thoughts

A Conversation With Grant Lee CO-Founder & CEO At Gamma

https://api.omny.fm/orgs/070af456-729b-4a0f-9c09-a6c100397b59/clips/ef39b1a2-ad37-4aa0-8edb-b3560146e49a/transcript

UL NO. 497: STANDARD EDITION | More NPM Shenanigans, I Open Sourced Kai, Blood Work Results, Finding Vulns in a 10-line Prompt, and more...

Read this episode online: https://newsletter.danielmiessler.com/p/ul-497

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

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

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

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

UL NO. 497: STANDARD EDITION | More NPM Shenanigans, I Open Sourced Kai, Blood Work Results, Finding Vulns in a 10-line Prompt, and more...
Read this episode online: <a href="https://newsletter.danielmiessler.com/p/ul-497">https://newsletter.danielmiessler.com/p/ul-497</a>
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://x.com/danielmiessler">https://x.com/danielmiessler</a>
Follow on LinkedIn: <a href="https://www.linkedin.com/in/danielmiessler">https://www.linkedin.com/in/danielmiessler</a>

UL NO. 497: STANDARD EDITION | More NPM Shenanigans, I Open Sourced Kai, Blood Work Results, Finding Vulns in a 10-line Prompt, and more...

https://api.omny.fm/orgs/070af456-729b-4a0f-9c09-a6c100397b59/clips/75658782-b1e1-48c1-9540-b35401116a98/transcript

Unsupervised Learning: No. 199

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