Cyber Mornings Daily
Hosted by Cyber Mornings Daily
An AI-generated daily briefing that breaks down complex cybersecurity threats and attacker techniques for technical professionals.
This is a daily news analysis show where two AI-generated voices synthesize technical reports into a single narrative, explaining the 'how' and 'why' behind major cyberattacks. The show focuses on attacker tradecraft, from initial access vectors like phishing to the industrial-scale monetization of stolen data, making it a briefing on the cybercrime economy.
“The show's most distinctive feature is that it is entirely generated by AI, from the script to the two host voices and artwork. Content-wise, it excels at connecting disparate events to illustrate the entire cybercrime supply chain and uses clear analogies to explain highly technical concepts.”
Who hosts this show
Cyber Mornings Daily is an experimental, AI-generated daily podcast that delivers concise breakdowns of the latest cybersecurity news. Using AI for text, audio, and artwork, the show features two synthetic voices that analyze pressing cyber threats, vulnerabilities, and breaches by synthesizing recent intelligence reports.
What kind of podcast
- Country
- United States
- Region
- usa
When new episodes drop
- 01June 29th, 2026Jun 29, 2026 · 24 min
- 02June 26th, 2026Jun 26, 2026 · 22 min
- 03June 24th, 2026Jun 24, 2026 · 21 min
- 04June 22nd, 2026Jun 22, 2026 · 19 min
- 05June 20th, 2026Jun 20, 2026 · 19 min
- 06June 17th, 2026Jun 19, 2026 · 18 min
- 07June 16th, 2026Jun 17, 2026 · 21 min
- 08June 15th, 2026Jun 15, 2026 · 26 min
Notable episodes
- 01June 24th, 2026
Details the industrialized cybercrime supply chain, connecting the 'FortiBleed' credential theft operation to the 'Huyoni' money laundering marketplace run on Telegram.
- 02June 26th, 2026
Introduces the concept of 'authentication laundering' and explains how attackers use trusted services like Calendly to bypass email security.
- 03June 29th, 2026
Provides a clear explanation of advanced evasion techniques like steganography (hiding code in images) and HTML smuggling to bypass network filters.
What you'll be asked on this show
This show is entirely AI-generated and does not feature human hosts or guest interviews. The format simulates a conversation between two AI hosts who use a structured, Socratic dialogue to unpack technical cybersecurity news. One AI voice will present a topic, and the other will ask clarifying questions like 'Okay, break that down for us' to prompt a deeper explanation for the listener.
This is a co-hosted, scripted discussion using two distinct AI-generated voices (one male, one female). The format mimics a human podcast, with one voice introducing a topic and the other providing a deeper technical breakdown. The show consistently uses analogies to clarify complex topics like steganography or vulnerabilities.
Signature segments
- · "Deep dive briefing" opening
- · Use of analogies to explain technical concepts
Topics covered repeatedly
Who gets booked here
The show does not feature guests; it is an AI-generated news analysis format.
Where to find this show
Audience & reach
The reviewed episodes contained no sponsors or advertisements. The podcast is described by its creator as a personal AI project.
Subscriber and view counts are pulled live from YouTube and re-verified on a 30-day cycle. Listener estimates for the RSS feed aren't published here unless they're host-verified.
Pitch Cyber Mornings Daily
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People also ask
- What is the format of the show?
- It's a daily show where two AI-generated voices break down 2-3 major cybersecurity stories. It does not feature guests.
- Who are the hosts?
- The two hosts (one male, one female) are AI-generated voices. The project was created by Jonathan Singer.
- Is the podcast still running?
- Yes, it publishes new episodes daily on weekdays.
- Where can I listen?
- The podcast is available on YouTube, Apple Podcasts, and Spotify.
- How is the show made?
- The creator states that all audio, text, and album art are generated with AI tools.
Built from the show's public RSS feed, YouTube, the host's own websites, and the cited sources below. Computed and AI-extracted fields are labelled. Facts only — no private info, no fabrication, no transcripts republished.
Sources & how this page was built
This page is AI-assisted, grounded in the public sources cited below, and host-verifiable. We publish facts only; we do not republish transcripts. If anything here is wrong, the host can claim and correct the page above.Model: gemini-2.5-pro · high confidence
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