Podcasts

In this Risky Business sponsored interview, Casey Ellis chats with Socket founder Feross Aboukhadijeh about npm 12’s move to disable install scripts by default. Attackers are already shifting payloads into package source code, and Feross explains why teams need to understand what third-party code actually does before allowing it into their environments.

The White House will let private companies carry out offensive cyber ops, an AI hacking campaign breached Taiwan’s government, a macOS bug was exploited over the internet to drop cryptominers, and Kenya orders internet cafes to store logs.

In this Soap Box edition of the Risky Business podcast host Patrick Gray chats with Adam Pointon, CEO of Knocknoc, about the failure of Zero Trust as a comprehensive architecture.

Most networks look like they were designed in 1999, and most Zero Trust products look like they were designed for 2049.

Instead, Patrick and Adam pitch something in the middle: Zero Trust(ish) networks, where Zero Trust principles are applied selectively where possible.

Instead of trying to re-architect entire networks, maybe it’s time we learned to apply Zero Trust principles selectively against risky assets. It’s a better approach than the status quo, which involves liberal use of the “risk accepted” stamp.

This episode is also available on YouTube

Tom Uren and James Wilson talk about the cybercrime ecosystem shifting towards data theft extortion, stealing sensitive data and extracting ransoms from victims by threatening to leak it. For organisations whose reputation is very important to them, data leaks are a bigger threat than having their files locked up.

They also discuss how the rise of AI makes it worth reinvigorating CISA’s Secure by Design initiative.

On this week’s show Patrick Gray and James Wilson are joined by guest co-host Brad Arkin to talk through the week’s news, including:

• The AI-agent-hacks-stuff saga continues. This week we have one booting gymgoers from full classes to nab its owner a spot
• Somehow OpenAI’s legal team allowed the company to spill all the Hugging Face tea at BlackHat and it’s hot and delicious
• More details emerge about Iran’s hacking campaign against US water utilities, but Brad is unimpressed
• It turns out TeamPCP has been around longer than we thought and predates the AI era
• Some absolute plonker kept the DEFCON party going on a Delta flight home. No word yet on if they made the plane fly sideways
• Much, much more

This week’s show is brought to you by cloud security platform Prowler. Founder and CEO Toni de la Fuente chats about what the company is doing with AI and some of the cool ways customers are using it with Prowler.

This episode is also available on YouTube

Russian state hackers adopt fake job interview tactics, a Portuguese man will face trial for developing a malicious AI chatbot, an AI assistant hacks an Australian gym, and OpenAI releases cyber models for blue teams.

In this edition of Between Two Nerds Tom Uren and The Grugq talk about examples of cyber resistance and whether they achieve their goals.

This epsiode is also available on YouTube.

Two American law firms pay multi-million dollar ransoms, a Metabase zero-day is being used in data theft attacks, Russian hackers disrupted a second power plant in Poland, and there’s a remote code execution bug in WordPress… again!

In this Risky Business sponsored interview, Catalin Cimpanu talks with Michael Leland, Field CTO at Island, about the company’s seamless expansion into SASE and enterprise AI.

In this podcast episode James Wilson chats with Tinfoil co-founder Tanya Verma about how you can run a powerful LLM in the cloud without the inference provider seeing your prompts.

Tanya talks James through how private inference works, from trusted execution environments and hardware attestation, to TLS termination and GPU isolation. Customers can verify the exact code and model processing their data, while Tinfoil and its infrastructure providers remain locked out.

That’s clever engineering… but who really needs it? Is private inference only useful if you’re doing something bad, or will it become a privacy baseline like TLS? James and Tanya discuss the costs and trade-offs, and how open weights make private inference more transparent and trustworthy.