Maze 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 0.9× placement factor. Inputs for this read: 1:10 · Unknown · pre-roll.
Transcript
This episode is sponsored by Maze. Security teams are drowning in vulnerabilities. 40,000 common vulnerabilities and exposures, a k a CBEs, dropped in 2025 alone, With attackers being able to exploit new vulns in days, not weeks, our backlogs are a ticking time bomb. Engineers do not have enough time to manually triage them all. But what if they did? That's the question Maze was created to answer. Maze uses AI agents to triage and remediate cloud vulnerabilities. Traditional vuln scans use rigid rule sets like if CVE is on a publicly exposed asset, make it a critical. But that's silly. Maze's AI agents investigate every vulnerability in your cloud the way your best security engineer would, figuring out what's actually exploitable, not just what's theoretically risky. They remove the noise, prioritize bones that matter, and manage remediation so your team stops wasting time on meaningless bones. So check out Maze at mazehq.com/darknet to learn all about AI vulnerability management that works. That's Maze, spelled m a z e. Maze h q dot com slash darknet.
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