The ITPro Podcast

Security operations center (SOC) analysts were already stretched to their limits, with teams often unable to investigate threats at the scale and speed needed to keep their organizations completely protected against modern threats.
The surprising emergence of the Claude Mythos Preview represents an inflection point when it comes to that issue. In pre-release testing, Anthropic found this frontier model so effective at discovering and independently exploiting vulnerabilities that the company decided not to release Mythos.
Whether Mythos ever gets a full release, it is a harbinger of a step function in capabilities with large language models that will likely push the limits of SOC analysts even further – with automated attacks coming at all hours, increased volumes, and potentially better-than-human sophistication.
One of the great promises of AI agents is that of the 24/7 worker, which could play a particularly powerful role in security. But what does this look like in practice, especially in an era of Mythos-type LLMs?
In this episode, in association with Dropzone AI, ITPro is joined by Edward Wu, founder and CEO at Dropzone AI, to unpack how agentic AI can automate alert triage
Highlights
“End-to-end remediation in complex organizations requires human judgment, context, and accuracy, areas where AI agents are not yet close to automating.”
“AI agents can be thought of as 'foot soldiers' managed by human 'field generals' in the SOC, handling tasks like alert investigations while humans focus on complex issues.”
“The threat from LLMs is not overblown, but rather a culmination of a gradual increase in capabilities over the past few years, with Mythos being a significant threshold.”
“The future of the SOC will involve experienced people managing armies of AI agents, similar to software development teams where engineers manage multiple AI coding agents.”
“Models like Mythos fundamentally change the situation by enabling attackers to more economically find zero-day vulnerabilities and weaponize them into exploits, impacting vulnerability management teams first.”
Footnotes
https://www.dropzone.ai/
https://www.dropzone.ai/resources/customer-case-studies
https://www.dropzone.ai/resources/learning-guide

It’s been a busy week for the enterprise tech world in Las Vegas as Dell Technologies customers, partners, and channel partners poured into the Venetian Conference Center to hear about the company’s latest strategies, products, and predictions for the future of IT.
In this episode, Bobby speaks to Jane about what she’s learnt during her week at the conference, what some of the big announcements were, and whether her pre-conference predictions were correct.

IT leaders are carefully assessing the extent to which AI-generated code can make a difference in their business.
On the one hand, AI developers promise their tools can enable faster code deployment and free up time for developers. On the other, it can be difficult to know where to start with AI tools – particularly if you want total reliability in your code.
How can enterprises make best use of AI code? And what do these tools mean for the developer teams of the future?
In this episode, Jane and Rory are joined by Colin Jarvis, head of forward deployed engineering at OpenAI, to discuss internal code generation.

In 2026, cyber attacks are far from the sole provision of cybersecurity professionals. These incidents pose real, hugely destructive impacts for businesses and can seriously impact employee and customer experience in the short and long term.
It’s not a matter of if, but when your business is targeted by threat actors. But in the gap between realizing this and implementing the right cyber resilience strategy, there’s potential for enormous financial losses.
How can businesses prepare for the worst? And what role can a trusted partner play in reaching true cyber resilience?
In this special edition of the ITPro Podcast, in association with 11:11 Systems, Rory is joined by Sean Tilley, senior director of sales EMEA at 11:11 Systems, and Sam Woodcock, senior director of solutions architecture EMEA at 11:11 Systems.

IT spend can be incredibly hard to accurately calculate. If you’re reliant on public cloud providers for your AI and software needs, you’re open to price rises, license changes, and other baked in costs.
The past few years have seen some firms choose to repatriate workloads to offset cloud costs – but this comes with its own risks. Surging international oil and gas prices, driven by conflict, are driving up bills for enterprises and consumers alike – bad news for those running AI workloads on premise.
How can leaders begin to get a grip on these costs? And what are some of the major challenges down the road?
In this episode Rory is joined by Greg Holmes, EMEA Field CTO at Apptio (an IBM Company), to discuss managing technology spend in the face of rising global instability.