Security Intelligence

Earlier this week, OpenAI dropped GPT-5.4-Cyber, a “cyber-permissive” variant of GPT-5.4 .

Basically: It's lets you do some things in the name of security research and defense that you can’t normally do with a regular GPT model.

But you have to prove you’re a cybersecurity pro with good intentions to get access.

On this bonus episode of Security Intelligence, Jeff Crume and Martin Keen join host Matthew Kosinski to break down what the new model means for cybersecurity and the big picture trends driving the evolution of LLMs.

The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

#GPT-5.4Cyber #OpenAI #AISecurity

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Where does that leave the rest of us, who don’t get to tinker with perhaps the most advanced model yet?

This week on Security Intelligence, Sridhar Muppidi, Michelle Alvarez, and Dustin “EvilMog” Heywood join host Matt Kosinski to discuss what Mythos and Glasswing really mean for the average security pro.

How much is hype? How much is the real deal? And how could this limited release backfire?

Then: The FBI’s 2025 Internet Crime Report saw scam losses jump 26%, and Accenture found a 127% increase in malicious hackers trying to recruit the employees of their targets.

All that and more on Security Intelligence.

00:00 – Intro
1:22 -- Claude Mythos and Project Glasswing
12:26 -- The 2025 Internet Crime Report
20:19 -- Attackers recruiting more insiders

The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Read more about AI raising cybersecurity stakes → https://www.ibm.com/think/news/anthropic-claude-ai-mythos-project-glasswing-raises-stakes-cybersecurity
Follow the Security Intelligence podcast on your preferred platform → https://www.ibm.com/think/podcasts/security-intelligence

What happens when one of the world’s most popular AI coding tools falls into the wrong hands?

On this episode of Security Intelligence, Nick Bradley, Dave Bales and JR Rao discuss the Claude Code source code leak. Attackers are already using the opportunity to spread malware through fake repos, but the real question is how threat actors might use their newfound knowledge of Claude Code’s internals to wreak havoc on AI agents and the CI/CD pipeline.

Then, we follow up on our old friends TeamPCP, Shiny Hunters and Lapsus$, whose overlapping data breach claims are causing no small amount of confusion and consternation among security pros. We examine the credential rotation problem and the uneven security surface of modern supply chains that helped get us in this mess.

Plus: Threat intelligence usually focuses on attacks that did happen. But what if we started talking about the ones that didn’t? And do cybercriminals have anything to teach us about “mature” AI adoption? Some big names seem to think so.

All that and more on Security Intelligence.

Segments:

00:00 – Introduction
1:12 -- The Claude Code leak
11:19 -- TeamPCP’s breach spree
21:21 -- “Close-call” databases
29:28 -- Cybercrime and AI adoption

The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Visit the Security Intelligence the podcast page → https://www.ibm.com/think/podcasts/security-intelligence

Explore to securely deploy and operate agentic AI workloads at runtime → https://ibm.webcasts.com/starthere.jsp?ei=1755597&tp_key=10f0b8919a&sti=inbound

Learn more about solving agentic AI identity and access gaps → https://www.hashicorp.com/en/blog/agentic-runtime-security-solving-agentic-ai-identity-and-access-gaps

LiteLLM is a nifty little Python library that gives you access to about 100 different AI services through one API. It gets an estimated 3.4 million downloads a day.

And last week, it was turned into a Trojan horse, distributing infostealers to hundreds of thousands of devices. (At least, that’s what TeamPCP says—the hackers behind the LiteLLM breach and a slew of other high-profile software supply chain attacks in recent weeks.)

Quote Andrej Karpathy: This is “basically the scariest thing imaginable in modern software.”

On this episode of Security Intelligence, Suja Viswesan, Dave McGinnis and Jeff Crume help us break down the LiteLLM breach and the broader campaign TeamPCP is waging.

We’re also joined by HashiCorp Field CTO Jake Lundberg in the first segment for a discussion of how organizations are trying—with varying degrees of success—to tackle the agentic AI problem.

AI agents are identities—but identities our existing frameworks weren’t built to house. Simply porting existing human and non-human identity management practices onto them won’t cut it.

But the question remains: What do we need instead?

All that and more on Security Intelligence.

Segments

00:00 -- Intro
1:13 -- Who will fix AI agent security?
21:17 -- RSAC 2026 Recap
29:31 -- 2026's most dangerous cyberattacks
40:45 -- The LiteLLM breach

The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Explore the podcast → https://www.ibm.com/think/podcasts/security-intelligence

Most cybersecurity pros only run into cryptocurrency when they’re dealing with ransomware gangs demanding payouts in Bitcoin.

But what if crypto infrastructure were more than just a means of money laundering?

In this episode of IBM’s Security Intelligence podcast, X-Force threat intelligence consultant Austin Zeizel makes the case that blockchain — the decentralized ledger underlying many cryptocurrency systems — has powerful, largely untapped applications for cybersecurity. In fact, Austin makes a pretty convincing argument that blockchain could be the key to a genuinely zero trust architecture.

We also get into how cybercriminals actually exploit cryptocurrency — coin mixers, non-KYC exchanges, the pseudonymous nature of Bitcoin — and why understanding those mechanics matters for defenders.

The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.