Skip to content
Deepak Gupta markPodcasts

Podcasts

Unsupervised Learning

Hosted by Daniel Miessler

A security veteran's essays on where AI is taking security, work, and people, published when he has something to say.

Mixed format Irregular 30–60 min· ~548 episodes· Started 2015
Level
Practitioner, assumes you work in or study security
Status
Active, last episode
Who's behind it
Independent, Daniel Miessler sourceSome vendor interviews are labelled as sponsored conversations; membership-supported.
Last verified
Transcripts for some episodes

Listed underThreat intel and news

Apple PodcastsSpotifyRSS Show website

Editorial take

Less a security show now than one security thinker's notebook. Daniel Miessler spent two decades in offensive security and appsec. He also built Fabric, an open-source AI prompting framework, and his feed reflects where his attention has gone: AI capability, AI-assisted attack and defense, and personal AI systems. The archive through September 2025 includes weekly UL news editions covering security, AI, and national security. Since then the feed has been irregular, short essays mixed with long debates like his two-hour argument with Marcus Hutchins. Pick it for a clear, opinionated framework for AI in security. Skip it if you need a dependable weekly news habit; some vendor interviews are labelled sponsored.

Last hand-checked 2026-09-30, Cadence irregular: weekly UL news editions last appeared in the feed in September 2025.

Listen if you …

  • want frameworks for thinking about AI's effect on attack and defense
  • build with AI tools and want a practitioner's view, not a vendor's
  • enjoy opinionated solo essays more than interviews

Skip if you …

  • you want regular security news, the weekly news editions stopped appearing in the feed in 2025
  • you want strictly security topics, many episodes are about AI, careers, and philosophy

Start with these 3 episodes

  1. 01

    The Future of Hacking is Context

    · 34 min · Practitioner

    The clearest short statement of Miessler's thesis: context, not tools, decides who wins in AI-era security.

  2. 02

    AICAD: Artificial Intelligence Capabilities For Attack Defense

    · 43 min · Practitioner

    A structured model for deciding which AI security capabilities to build and when, the show at its most useful.

  3. 03

    An AI Debate with Marcus Hutchins

    · 120 min · Practitioner

    Two hours, two security people at opposite ends on whether AI is autocomplete, and both stay civil.

About the show

Unsupervised Learning is Daniel Miessler's podcast, a companion to his long-running newsletter of the same name. The feed dates to 2015 and holds more than 540 episodes.

For most of its life the core was a weekly news edition (UL NO. 400s) covering security, AI, and technology, plus interviews, some with vendors and labelled as sponsored. Since late 2025 the feed has published irregular solo essays and occasional long conversations, mostly about AI.

Notable guests

  • Marcus Hutchins
  • Jason Haddix
  • Jason Meller
  • Gabe Bernadett-Shapiro

Pairs with

If Unsupervised Learning works for you, these likely will too.