Risky Business Features
Join reformed CTO James Wilson as he dives deep on cybersecurity topics through an enterprise lens. From solo content and interviews with CISOs and researchers to vendor and startup deep dives, James does a bit of everyt...
Insights from recent episode analysis
On the show
- Brad Arkin9 eps
- Niels Provos1 ep
- Nicholas Carlini1 ep
Also: Yaniv Bernstein, Jamieson O’Reilly, Geoff White, Paul McCarty, Brian Pak, Andrew Wesie, Ollie Whitehouse, Ensar Seker, Karsten Nohl, Jon Sakoda, James Wilson, Brian Krebs, James Kettle, Tanya Verma
Audience Interest
Podcast Focus
Publishing Consistency
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Based on the show's feed history.
Built from
By chart position
- 🇿🇦ZA · Technology#278.9K to 110K
- 🇭🇺HU · Technology#521.8K to 22K
- 🇳🇱Netherlands · Technology#194518 to 6.3K
- 🇹🇭TH · Technology#195204 to 2.5K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
11K to 140K🎙 ~2x weekly·37 episodes·Last published 2w ago - Monthly Reach
Unique listeners across all episodes (30 days)
23K to 280K🇺🇸71%🇿🇦22%🇭🇺4%+2 more - Active Followers
Loyal subscribers who consistently listen
13K to 154K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
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Total Plays
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Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 10/2/26 | Bug count sounds impressive... but means little | In this solo Risky Business Features episode, James Wilson explains why “number of bugs” fixed in any given update is a misleading metric. We’ve seen up to 1,000 individual bug fixes in a single update recently, but that doesn’t give defenders the full picture they need to manage risks. Not all bugs are equally exploitable, so the industry needs to catch up to the bugpocalypse with more transparency. And maybe an entirely different approach to patching. | 45m 58s | ||||||
| 9/15/26 | How to launder illicit Bitcoin | In this podcast episode, investigative journalist Geoff White joins James Wilson to talk about what happens to the money after ransomware gangs get a payday. The payment itself might be in the millions, but it’s difficult for gangs to convert their ill-gotten crypto gains into cash they can actually spend. Geoff explains the role of professional launderers and why cash-rich drug gangs are useful connections for crypto-rich cybercriminals. They also dive into who operates these international laundering networks, other types of crime they enable, and whether this affects the argument of whether victims should be allowed to pay. | 45m 44s | ||||||
| 9/11/26 | Hunting software supply chain malware | In this podcast episode, OpenSourceMalware founder Paul McCarty joins James Wilson to explain how researchers find and analyse malicious packages, GitHub repositories and developer tools. Paul walks James through static analysis, deobfuscation and reconstructing multi-stage kill chains to identify what attackers are trying to steal. They also discuss how LLMs make malware development easier while introducing operational security mistakes. The pair examine DPRK tradecraft, blockchain-based payload delivery and what Paul calls Pollen Rider, which can reinfect developers through their own repositories. | 1h 15m 04s | ||||||
| 9/3/26 | cyber operationsprivate sector involvement+4 | Brad Arkin | Trump administrationUS law enforcement+5 | — | cyber operationsTrump administration+4 | — | 40m 46s | ||
| 8/28/26 | cybercrimehacking+3 | Brian Krebs | TeamPCPCybercats | Perth | TeamPCPBrian Krebs+5 | — | 29m 22s | ||
| 8/17/26 | LLMssecurity research+3 | James Kettle | PortSwigger | — | LLMHTTP Terminator+5 | — | 1h 17m 35s | ||
| 8/7/26 | private LLM inferencecloud computing+4 | Tanya Verma | Tinfoil | — | private inferenceLLM+6 | — | 1h 23m 49s | ||
| 7/28/26 | AI regulationUS-China AI race+3 | — | US governmentChina+3 | — | AI regulationopen weight models+3 | — | 39m 23s | ||
| 7/16/26 | AI cybercrimeFortibleed campaign+4 | Ensar Seker | FortibleedSOCRadar+3 | — | AIcybercrime+5 | — | 48m 03s | ||
| 7/10/26 | cybersecurityvulnerability management+3 | Brad Arkin | AthenaAkrites+1 | — | cybersecurityvulnerabilities+3 | — | 44m 24s | ||
| 6/30/26 | local LLMscode reviews+3 | Karsten Nohl | Risky Business Media | — | local LLMscode reviews+3 | — | 1h 11m 29s | ||
| 6/23/26 | cybersecurityventure capital+3 | Jon Sakoda | Decibel PartnersVC | — | cybersecurityVC+5 | — | 35m 14s | ||
| 6/19/26 | open weight modelslarge language models+4 | James WilsonBrad Arkin | FableMythors+4 | — | open weight modelslarge language models+4 | — | 43m 05s | ||
| 6/16/26 | AI model jailbreakssafety restrictions+4 | — | Fable 5Mythos 5+2 | USA | AI jailbreaksAnthropic+5 | — | 52m 39s | ||
| 6/12/26 | supply chain attacksNPM v12+3 | Paul McCarty | NPM v12Open Source Malware Security | — | NPMsupply chain+5 | — | 38m 32s | ||
| 6/5/26 | AI risksenterprise technology+3 | Brad Arkin | — | — | AIenterprise risks+3 | — | 23m 02s | ||
| 6/2/26 | TeamPCPKubernetes+3 | — | TeamPCP | — | TeamPCPKubernetes+4 | — | 1h 04m 01s | ||
| 5/25/26 | supply chain attackssoftware security+3 | Brad Arkin | Risky Business Media | — | supply chaincybersecurity+5 | — | 36m 51s | ||
| 5/21/26 | CopyFail exploitpublic disclosure+4 | Brian PakAndrew Wesie | TheoriLinux | — | CopyFailexploit+7 | — | 18m 56s | ||
| 5/18/26 | cybersecurityAI+4 | Ollie Whitehouse | UK’s National Cyber Security Centre | — | bugpocalypsepatching+5 | — | 29m 25s | ||
| 5/12/26 | agentic AIAI deployment+3 | Brad Arkin | Risky Business Media | — | agentic AIAI deployment plan+3 | — | 39m 59s | ||
| 5/8/26 | AI models0day vulnerabilities+3 | Niels Provos | Iron CurtainGoogle+2 | — | 0dayvulnerabilities+5 | — | 1h 27m 53s | ||
| 5/4/26 | AI agent identitycredential management+3 | Brad Arkin | AdobeCisco+1 | — | AIidentity management+3 | — | 40m 21s | ||
| 4/29/26 | AI model distillationmodel capabilities theft+3 | — | — | — | AImodel distillation+5 | — | 1h 12m 08s | ||
| 4/24/26 | AI-driven vulnerability researchexploit development+3 | Nicholas Carlini | Opus 4.6Anthropic | — | AIvulnerability research+5 | — | 42m 44s | ||
| 4/20/26 | startupsentrepreneurship+3 | Yaniv Bernstein | AnthropicGoogle+2 | — | Mythosfrontier models+3 | — | 32m 39s | ||
| 4/17/26 | cybersecurityexploits+3 | Brad Arkin | AnthropicAdobe+2 | — | Mythos0day+5 | — | 21m 12s | ||
| 4/13/26 | hackingAI+3 | Jamieson O’Reilly | AnthropicDVULN+1 | — | hackerAI+4 | — | 32m 54s | ||
| 4/8/26 | North KoreaIT worker infiltration+3 | Geoff White | North Korea | — | North KoreaIT workers+5 | — | 51m 39s | ||
| 4/3/26 | CISOAI+4 | Brad Arkin | AdobeCisco+1 | — | CISOAI era+5 | — | 18m 51s | ||
| 3/31/26 | iOS securityAI in cybersecurity+3 | — | iOS exploit kitWebKit+1 | — | iOS0day+5 | — | 56m 10s | ||
Showing 31 of 37
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Chart history for Risky Business Features
Peaked at #27 in South Africa, currently #27 in South Africa.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| South Africa | — | #27 | #27 | — |
| HU | — | #52 | #52 | — |
| Netherlands | — | #194 | #194 | — |
| TH | — | #195 | #195 | — |
Chart Positions
4 placements across 4 markets.
Chart Positions
4 placements across 4 markets.