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Unsupervised Learning with Daniel Miessler 714z2w
Por Daniel Miessler
241
24
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. 4j2n5r
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.
UL NO. 467 | Why You Should Care About AGI (And a Definition)
Episodio en Unsupervised Learning with Daniel Miessler
Plus: DeepSeek's open database, Using o3 with Fabric, Chinese backdoors in health monitors, and much more... Subscribe to the newsletter at: https://danielmiessler.com/subscribe the UL community at: https://danielmiessler.com/upgrade Follow on X: https://x.com/danielmiessler Follow on LinkedIn: https://www.linkedin.com/in/danielmiessler Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
25:41
Raycast is a Must in 2025 - The Only Tool You Need?
Episodio en Unsupervised Learning with Daniel Miessler
In this episode, Daniel Miessler explores how to supercharge your macOS workflow with Raycast, transforming everyday tasks into lightning-fast, AI-powered actions. He talks about: Raycast as a Universal Launcher: Daniel explains how Raycast replaces traditional launchers like Spotlight and Alfred, offering an all-in-one shortcut to apps, files, and bookmarks for unparalleled efficiency. Quick Links and Custom Searches: He demonstrates how quick links streamline navigation by replacing outdated bookmarks and enabling custom search commands that let you by the browser for faster access. Integrated Utilities and Window Management: Discover how Raycast consolidates everyday tools—from color pickers and process killers to custom window arrangements—ensuring that all your essential utilities are just a keystroke away. Advanced AI Integration: Learn how Raycast’s innovative AI commands integrate with platforms like ChatGPT and Fabric, allowing you to interact with, summarize, and analyze web content directly from your command line. Custom Commands and Productivity Hacks: Daniel reveals his secrets for creating personalized hotkeys, snippets, and aliases that reduce friction in your digital workflow, making your daily tasks smoother and more intuitive. Subscribe to the newsletter at: https://danielmiessler.com/newsletter Watch the video on YouTube at: https://www.youtube.com/c/UnsupervisedLearning Follow on Twitter at: https://twitter.com/danielmiessler See you in the next one! Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
49:59
Using AI for Fiction Writing
Episodio en Unsupervised Learning with Daniel Miessler
I want to explore how AI can assist in fiction writing, especially using open-source models that allow for greater control, creativity, and long-form storytelling. With tools like LM Studio and Hugging Face, we can powerful AI models capable of maintaining story coherence, helping authors generate complex narratives, and even unlocking new storytelling possibilities. So, the idea is to create a structured approach to fiction writing with AI. By organizing story elements—characters, setting, mystery, and plot—into a detailed text file ("Telus file"), we can guide AI models to produce high-quality, structured narratives. The goal is not to replace authors but to empower them with AI-assisted storytelling. Who wants to experiment with this approach? Or does anyone know of better AI tools for fiction writing? With larger context models and improving AI capabilities, we might be close to AI-assisted novels that rival human-written stories! Subscribe to the newsletter at: https://danielmiessler.com/subscribe the UL community at: https://danielmiessler.com/upgrade Follow on X: https://x.com/danielmiessler Follow on LinkedIn: https://www.linkedin.com/in/danielmiessler Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
30:14
A Conversation with Alastair Paterson from Harmonic Security
Episodio en Unsupervised Learning with Daniel Miessler
In this conversation, I speak with Alastair Paterson, CEO and co-founder of Harmonic Security. We talk about: Harmonic Security’s Unique Approach to AI Data Protection: How Harmonic Security’s Zero-Touch Data Protection uses small language models to identify and prevent sensitive data leaks, differentiating it from traditional DLP solutions. Challenges of AI Adoption & Enterprise Security Risks: How enterprises are struggling to adopt Generative AI safely, as employees unknowingly expose sensitive data. The risks of shadow AI usage, and why visibility into AI applications is essential for organizations. Harmonic’s Browser-Based Solution for Secure AI Adoption: How Harmonic Security’s browser-based extension provides real-time monitoring and intervention, allowing enterprises to track AI adoption, prevent data leaks, and enforce security policies without disrupting productivity. ➡️ Get a DEMO and Take Advantage of Harmonic's GenAI Securely ul.live/harmonic ➡️ Check out Harmonic's Data leakage report "From Payrolls to Patents" ul.live/harmonic-data-leaked 00 Intro 00:12 Guest Introduction - Alistair and Harmonic Security 01:16 Background on Digital Shadows and Transition to Harmonic Security 02:50 The Impact of ChatGPT and Generative AI on Security 04:35 The Problem with AI Data Leakage and Enterprise Risks 06:20 The Evolution of Data Protection: From DLP to AI Readiness 08:45 The Challenge of Shadow AI in Enterprises 10:30 Understanding Harmonic Security's Zero-Touch Data Protection 12:15 How Harmonic Security Works - Browser Extension Overview 14:40 Detecting Sensitive Data in AI Prompts 16:50 Live Demo - Preventing Data Leaks in AI Chatbots 19:35 Visibility and Monitoring of AI Usage Across the Enterprise 22:10 Risk Classification and Training Data Considerations 24:05 Policy Enforcement and Customization Options 26:30 Future Developments - Expanding Coverage Beyond AI Apps 28:15 Final Thoughts and Where to Learn More Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
29:32
UL NO. 466 | My Analysis and Prediction on the Deepseek Situation
Episodio en Unsupervised Learning with Daniel Miessler
Plus: The AI Vulnerability Glut, Remotely Hacking Subarus, Criticism of CVSS, the United Breach, and much more... ➡ Protect Against Bots, Fraud, and Abuse. Check out WorkOS Radar at workos.com/radar Subscribe to the newsletter at: https://danielmiessler.com/subscribe 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! Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
33:01
A Conversation with Faisal Khan from Vanta
Episodio en Unsupervised Learning with Daniel Miessler
In this episode, I speak with Faisal Khan, a GRC Solution Specialist at Vanta, about how their platform is transforming trust management for organizations. We talk about: Vanta as a Trust-Management Platform: How Vanta helps organizations build, scale, and showcase their security and compliance programs through automation, efficiency, and tools like the Trust Center. Key Features and Solutions Offered by Vanta: How Vanta’s integrations automate compliance checks, streamline vendor risk management, and address industry standards like SOC 2, ISO 27001, and CMMC to save time and improve efficiency. Future Directions and AI Integration: How Vanta is expanding into new frameworks like the EU AI Act and leveraging AI to simplify compliance, optimize workflows, and address evolving trends in governance and security. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
39:01
UL NO. 465 | The SaaS Attack Vector, Project Stargate, and Undersea Cable Drones
Episodio en Unsupervised Learning with Daniel Miessler
also...Joseph goes independent, Perplexity's new search API, Stoicism's gift, and much more... Subscribe to the newsletter at: https://danielmiessler.com/subscribe 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! Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
21:14
UL NO. 464 | AI Phishing Matches Humans, Under Sea Cable Cutter Patents, and Siri is About to Not Suck
Episodio en Unsupervised Learning with Daniel Miessler
also...Russia's actual playbook, CISA's new rating system, and everyone's doing robots now Subscribe to the newsletter at: https://danielmiessler.com/subscribe 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! Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
35:36
UL NO. 463 | Launching 2025, US Soldier Data Leak, AI Agents Emerge, China's Global Spy Network, Robotaxis Now Safer...
Episodio en Unsupervised Learning with Daniel Miessler
Navigating AI's impact on work, the rise of transnational threats, a grim new reality in air travel, and how to harness the chaos of 2025 for personal and professional growth. Subscribe to the newsletter at: https://danielmiessler.com/subscribe 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! Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
44:47
UL NO. 462: Full-Face Mask Deceptions, VS Code Tunnel Hacks, Quiet AI Emergence at Apple, and Tokyo’s Three-Day...
Episodio en Unsupervised Learning with Daniel Miessler
...plus building personal TELOS files, the ChatGPT Pro vs. Claude coding face-off, a human bird flu case in Louisiana, and ketones fighting Alzheimer’s. ➡ Make your app enterprise-ready and start selling to enterprise customers with WorkOS: workos.com Subscribe to the newsletter at: https://danielmiessler.com/subscribe 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! Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
27:36
How Much AI Do We Need? - My AI Industry Prediction
Episodio en Unsupervised Learning with Daniel Miessler
In this episode, Daniel Miessler explores how AI can transform our understanding of the present and create actionable paths for a better future. He talks about: The Current State, Desired State, and Transition in AI Applications: How AI frameworks can analyze the current state, define a desired state, and propose action plans to address challenges in education, climate, health, and beyond. The Infrastructure and Scale of AI: Why we’re only at the beginning of building the AI infrastructure required for future demands, from GPUs and data centers to startups pushing the boundaries of what’s possible. The Role of AI in Human and Organizational Development: How AI can revolutionize personal lives, enhance businesses, and solve societal issues by gathering and analyzing massive amounts of contextual data to provide actionable insights. Subscribe to the newsletter at: https://danielmiessler.com/subscribe 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! Chapters: 0:00 - Introduction to Unsupervised Learning Podcast 1:10 - Concept: Predicting AI Infrastructure Needs 3:45 - The Challenge of Predicting Technology vs Human Desires 6:20 - Exploring AI Infrastructure Metrics (GPUs, Data Centers, Startups) 8:55 - Philosophical Insight: Current State vs Desired State 12:15 - AI’s Role in Learning from the Past and Anticipating the Future 14:50 - Addressing Global Issues with AI (Education, Poverty, Climate) 18:30 - Transitioning from Current State to Desired State 22:05 - Context Gathering: Granularity and Technology Limitations 25:40 - AI's Impact on Individual and Family Contexts 29:10 - AI’s Potential in Business: Granularity and Cost 32:50 - Vision of Life OS and Personalized Assistance 36:15 - AI in Society: Predicting and Preventing Problems 40:00 - Infinite Context and the Scaling of AI Capabilities 44:30 - Predictions on AI Context Size and Infrastructure Demand 48:20 - The Importance of Understanding the Current State 52:10 - Conclusion Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
28:16
UL NO. 459: New Active 0-day Exploitation, AI That Sees Your Open Apps, The RebootAI Project
Episodio en Unsupervised Learning with Daniel Miessler
A conversation with Rob Allen from ThreatLocker, UL's Black Friday sale, Finland's internet disrupted, and more... ➡️ Get Your Free Cloud Security Scan with Wiz: wiz.io/ul Subscribe to the newsletter at: https://danielmiessler.com/subscribe 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! Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
24:00
A Conversation with Rob Allen from ThreatLocker
Episodio en Unsupervised Learning with Daniel Miessler
In this conversation, I speak with Rob Allen, Chief Product Officer at ThreatLocker. We talk about: ThreatLocker’s Unique Zero Trust Approach to Cybersecurity: How ThreatLocker’s "deny by default, permit by exception" methodology, along with automated application learning and built-in definitions for over 4,000 applications, simplifies allowlisting and enhances endpoint security. Innovations in ThreatLocker’s Control Features: How ThreatLocker’s ringfencing prevents unauthorized application interactions and data access, and dynamic firewalls mitigate risks like lateral movement and ransomware attacks through endpoint-level network segmentation. Recent Developments and Cloud Expansion: How ThreatLocker Detect and Cloud Detect provide advanced detection capabilities for endpoint and cloud environments, including Office 365, enabling anomaly detection, centralized alerts, and proactive threat management. And more. Into (00:00:00) ThreatLocker's Zero Trust Cybersecurity Approach (00:00:31) Understanding Allow Listing in Cybersecurity (00:01:49) Managing Software Updates with ThreatLocker (00:02:13) Automated Application Updates for Over 4000 Programs (00:04:11) Vendor Collaboration for Early Software Updates (00:05:40) Challenges and Risks of Immediate Software Updates (00:06:53) Assuming Breach: A Core Cybersecurity Principle (00:08:10) Implementing Zero Trust Strategies with Ring Fencing (00:09:30) Controlling Application Interactions to Prevent Threats (00:09:50) Advanced Data Protection with Storage Control (00:13:17) Dynamic ACLs for Smarter Network Control (00:15:48) Ransomware Risks from Open Ports (00:16:50) Using Shodan to Identify Open Port Vulnerabilities (00:17:19) Building Application Allow Lists with Contextual Data (00:18:43) Learning Mode for Application and Traffic Visibility (00:19:36) Balancing Behavior Control and Workflow (00:20:44) Integrating Detection and Control with ThreatLocker Detect (00:21:44) Why Detection is Critical in Cybersecurity Layers (00:22:41) Response Mechanisms and Automated Remediation (00:24:02) Lockdown Mode: Ultimate Isolation from Threats (00:25:38) Streamlined Application Approvals with Cyber Hero (00:26:36) Breaking Down Ransomware Attack Stages (00:27:46) Introducing Cloud Detect for Cloud Security (00:29:39) How to Learn More About ThreatLocker Solutions (00:30:47) Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
32:17
UL NO. 458: Ollama Vulnerabilities, Rating AI Using AI, The Mantis Hack-back Framework
Episodio en Unsupervised Learning with Daniel Miessler
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: https://danielmiessler.com/subscribe 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! Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
32:45
A Conversation with Jason Haddix from Flare
Episodio en Unsupervised Learning with Daniel Miessler
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 by 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 Flair Role (00:00:24) Career Shift from Ubisoft to Red Teaming (00:01:02) Evolution of Adversary Tactics (00:02:04) Flair's Credential Exposure Management (00:02:58) Synergy Between Arcanum and Flair (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) Flair'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) Features for Flair (00:25:11) Integrating Vulnerability Management (00:28:08) Accessing Flair's Free Trial (00:28:25) Learning More About Arcanum (00:29:09) Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
30:11
UL NO. 454: The First AI Breaches
Episodio en Unsupervised Learning with Daniel Miessler
AI Avatar Breaches, Gullibility is Vulnerability: Conspiracy is Threat, Caldera's New Plugin, and more... Try Out the ThreatLocker to take your security to the next level: https://www.threatlocker.com/ul Subscribe to the newsletter at: https://danielmiessler.com/subscribe 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! Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
35:00
How My Projects Fit Together (Substrate, Fabric, Telos, Daemon, and Human 3.0)
Episodio en Unsupervised Learning with Daniel Miessler
This episode, "How My Projects Fit Together," is a follow-up to a previous post called "What I Am Doing & How It's Going". Here, Daniel Miessler addresses the most commonly asked questions: "I see all your projects, but what are they? How are they related?" He takes an individual look at his various projects (Substrate, Fabric, Telos, Daemon, and Human 3.0) and then how they work together to tackle big issues such as the lack of purpose and meaning in people's lives, preparing people for the impact of AI in society, and the need for holistic human development. For all the projects’ links,visit: https://danielmiessler.com/p/how-my-projects-fit-together - Intro (00:00:00) - Identifying Major Problems (00:00:47) - Lack of Purpose and Meaning (00:01:50) - Impact of AI on Society (00:01:50) - Training for Full-Spectrum Individuals (00:03:02) - Security as a Core Focus (00:03:02) - Helios: Attack Surface Monitoring (00:04:11) - Daemon: Security Program Management (00:05:16) - Substrate: Enhancing Human Understanding (00:06:21) - Argument Components in Substrate (00:07:35) - AI and Argument Detection (00:10:59) - Fabric: Augmenting Humans with AI (00:15:26) - Fabric Patterns for Problem Solving (00:16:31) - Fabric Overview (00:19:36) - Telos Introduction (00:20:50) - Articulating the Mission (00:21:50) - Telos File Example (00:22:53) - Managing Personal Life with Telos (00:23:57) - AI and Purpose (00:26:10) - Daemon Introduction (00:28:21) - API Concept in Daily Life (00:29:28) - Digital Assistants and APIs (00:31:40) - Human Connection through Sharing (00:37:52) - Daemon Personal API Broadcast (00:39:53) - Human 30 Introduction (00:43:07) - Human 30 Philosophy (00:45:22) - Impact of AI on Work (00:48:47) - Human 30 Platform Overview (00:51:00) - Summary of Projects (00:54:03) - Vision of Future AI Integration (00:56:21) - Encouragement for Clarity and Purpose (00:57:39) - Encouragement for Purpose (00:59:47) - Articulating Your Work (01:00:46) Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
01:01:26
Human 3.0—The Skills & Mental Frames Required To Thrive In An AI World
Episodio en Unsupervised Learning with Daniel Miessler
Human 3.0 is here. In this conference for the United Nations, Daniel Miessler introduces the topic of Human 3.0 philosophy and the skills and mental frameworks needed to thrive in an AI-driven world. Learn about: - The future of work and the human 3.0 economy. - How AI will revolutionize startups and entrepreneurship. - How one-person billion-dollar companies are becoming a reality. - Creative expression and AI. - The importance of personal visibility and authenticity. - How to survive and thrive in today's rapidly evolving technological landscape. Subscribe to the newsletter at: https://danielmiessler.com/subscribe 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! Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
30:03
UL NO. 452: The New Hotness: NotebookLM
Episodio en Unsupervised Learning with Daniel Miessler
China prepping for kinetic using cyber?, Automatic podcast creation using NotebookLM, VM + AI, and more... Subscribe to the newsletter at: https://danielmiessler.com/subscribe 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! Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
50:13
NotebookLM Podcast: David Deutsch, Understanding, and AI
Episodio en Unsupervised Learning with Daniel Miessler
This is a NotebookLM podcast based on a long conversation I had with my AI, DARSA, on the topic of whether AIs truly understand things and/or are capable of creativity. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
12:49
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