Chainguard on Darknet Diaries
175: Bayrob
Estimated current placement value
Low confidenceWhat a comparable one-episode placement on this show might cost today—not reported advertiser spend or a historical invoice.
How this estimate works
A broad audience range for the top 2,000 popularity tier is multiplied by public CPM benchmarks and a 1× placement factor. Inputs for this read: 1:09 · Unknown · mid-roll.
Transcript
This episode is sponsored by Chainguard. $50 in tokens, that's how much it took for an AI to autonomously find, confirm, and exploit a remote crash bug that has been sitting in open BSD for twenty seven years. That's the work of Mythos, the AI model Anthropic unveiled earlier this month. This is the security team's new reality. Attackers are using AI to weaponize code faster than any team can review it. Your scanners can tell you something went wrong, but by then, it's already too late. You can't patch your way out of a broken trust model. Chainguard solves this at the source. Chainguard's libraries and container images are built from source, verified all the way down, and carry near zero CVEs. If something goes in, they can prove where it came from. And right now, they're offering Chainguard libraries and actions free until the end of the month. Zero malware on all the libraries you and your AI agents use. The next attack is already being written. Go to chainguard.dev to get ahead of it and to build safely with trusted open source. That's chainguard.dev.
Chainguard sponsor landing page on Darknet Diaries
Chainguard landing page captured for its sponsorship on Darknet Diaries.
