Tech Lounge

Tech Lounge

Every two weeks, the tech lounge invites tech luminaries, entrepreneurs, and creatives from small scrappy startups and open source enthusiasts to those working in large global companies. If you're interested in deep and creative technology and conversations with some of its most interesting practitioners, this is the show for you. Come in and get yourself comfortable. Ten years and still going strong. Hosted by Chris Chinchilla. Show notes can be found at - chrischinchilla.com/podcast Formerly known as "Chinchilla Squeaks"
00:00
00:00

Zusammenfassung der Episode

In this episode I speak with Brian Panarello of Dark Wolf about the past, present and future of cybersecurity.

Folgen

374-

Punk rock cybersecurity with Brian Panarello of Dark Wolf

In this episode I speak with Brian Panarello of Dark Wolf about the past, present and future of cybersecurity.

22 Okt. 2026
373-

AI powered protection from digital fraud with Guardian

In this episode, I speak with Rita Barbosa of Guardian Labs, who is working on an Europe-based AI-powered scam protection app that pulls in up-to-date scam data to help prevent vulnerable phone users from being scammed.

Thu, 8 Oct 2026 10:00:00 +0000
372-

Autonomous security in the agent age with Enclave

I speak with Enclave, which is building an autonomous security team for the enterprise with always-on agents that map your attack surface, find attack paths, repair weaknesses, and verify the path is closed.

17 Sep. 2026
371-

The world's largest conference for mobile developers with Greg Fawson

I speak with Greg Fawson of next.app dev con, the largest mobile app developer conference in the world, right here in my home of Berlin. We speak about how they got there, their plans for the future, and organising events in Berlin in 2026.

Thu, 3 Sep 2026 11:05:00 +0000
370-

The hidden influences behind the algorithms that run our lives with Luca Belli

In this episode, I speak with Luca Belli about his forthcoming Manning book, “Hidden Influences,” which explains how algorithmic recommendation systems work from socio-technical and ethical perspectives rather than teaching readers to build them.

20 Aug. 2026