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Many IT leaders are at a crossroads in their careers, with the clear potential of AI for cybersecurity matched with the huge threat of AI-powered attacks.Recent releases such as Anthropic’s Claude Mythos have revealed the wave of AI-assisted vulnerability discovery, which will act as a powerful asset in the defender’s toolkit but could also become a potent weapon in the attacker’s arsenal.Luckily, IT leaders don’t have to make all these decisions alone. With the right partner today, they can get in the right mindset for AI-speed attacks today, and make the most of automation in their cybersecurity.In this episode, in association with Automox, the ITPro Podcast is joined by the company’s CTO Jason Kikta to discuss how to do more with less in endpoint management. Highlights “A core principle of cyber resilience is that every strategy fails at the inventory layer first, as you cannot defend, patch, or recover what you don't know you have.”“Cyber resilience is framed as a business problem that requires the investment and attention of the CFO, not solely an IT or security team responsibility.”“IT leaders are advised to benchmark their security response times against the fastest attackers, not the average, as attacker tooling is improving faster than defensive capabilities.”“The speed at which attackers can exploit vulnerabilities has drastically decreased, moving from weeks to mere hours due to AI-assisted exploit development.”ResourcesBeyond visibility: endpoint management and mitigation at frontier pacehttps://www.automox.com/https://www.automox.com/resources/ebooks-and-guides/agile-aihttps://www.automox.com/resources/ebooks-and-guides/business-value-of-automoxhttps://go.automox.com/state-of-endpoint-management-2026/

The month of May is coming to a blistering hot end. Across Europe, new high temperature records are being set and unpredictability is very literally in the air as people wonder how they will adapt to these rapid meteorological changes long term.In the world of IT, technology may be evolving equally rapidly but are the takes from the AI faithful still that hot or is the discourse increasingly predictable?Plus, a dapper ransomware outfit is gaining infamy as one of the most active and successful cyber gangs in the world.Highlights“It's a fairly tepid take. The idea that the professions that will survive the AI revolutions are the ones that need to physically be done – trades, as we say in British English. Also … things like hairdressers, carers, nurses, doctors, whatnot, they're all supposed to be kind of fairly safe professions as well.”“You wouldn't take a section of your employees and give them access to everything, or leave them to run consistently and hope that everything works out, because it would just end up in failure with data privacy issues [and] all kinds of problems. What Gartner's report said was that if you fail to distinguish between an agent's ability to act and the scope of access it's granted, then it will come down to some kind of a failure, and these are often not noticed until the failure happens.”“[The Gentlemen] feel kind of somewhat nomadic, somewhat just able to turn their attention to wherever is going to be the most lucrative spot for them … [and] they are now responsible for 10% of all cyber crime.”

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 triageHighlights“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.”Footnoteshttps://www.dropzone.ai/https://www.dropzone.ai/resources/customer-case-studieshttps://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.

April has come to an end and what a busy month it’s been, with major announcements, updates, and cancellations across all corners of the tech sector.Earlier this month, OpenAI made headlines throughout the UK with the news that it was cancelling its landmark Stargate UK project citing region-specific difficulties. But how do these claims stack up, given signs OpenAI is pulling back from other key compute projects?Also this month, John Ternus was announced as the incoming CEO at Apple. What does the Apple’s hardware king mean for the tech giant going forward? And DeepSeek released its much-awaited v4 Pro frontier model.In this episode, Rory is once again joined by Ross Kelly, ITPro’s news and analysis editor, to discuss some of April's biggest news.Read more:

Las Vegas may be known as the city of sin, but in the world of tech it’s also the land of conferences. Taking over the Mandalay Bay resort this week was Google Cloud Next, Alphabet’s chance to show off the latest in its cloud strategy and – naturally – AI tools.AI agents, in particular, have been a focus this year as Google Cloud looks to meet surging customer demand with infrastructure and software innovations for AI inference.What story has Google been looking to tell at the event? And what’s the reality behind it?In this episode, Jane speaks to Rory about some of the key talking points at Google Cloud Next 2026.Read more:'The goal for this year will be to automate all security processes': Google Cloud is betting on Wiz to usher in a new era of AI securityGoogle expands Gemini Enterprise, consolidates Vertex AI services to simplify agent deploymentGoogle Cloud announces eighth-generation TPUs, boasting AI training and inference leapsGoogle Cloud Next 2026: all the live updates as they happenGoogle Cloud Next 2026 is a chance to demonstrate Google’s unique advantages

For many, quantum computing is a little like nuclear fusion. Each is at the very furthest reaches of deep tech – and each its its own way will change the fabric of the world when realised.Physicists hope that commercial nuclear reactors could be realised by the early 2040s. But quantum computing could come sooner – far sooner. When it does arrive – and leaders in the space now say it could do by 2029 – quantum computing will represent the most severe of risks to our encryption algorithms. Luckily, experts are already working on establishing standards for post-quantum approaches – now it’s up to business to put them in place. How long do we have to adopt post-quantum encryption? And what are challenges are business leaders up against?In this episode, Rory is joined by Jason Soroko, senior fellow at Sectigo, to unpack the technicalities of post quantum cryptography and what it means for cybersecurity professionals.Read more:Post-quantum cryptography is now top of mind for cybersecurity leadersGet started on post-quantum encryption, organizations warnedGoogle just revised its ‘Q-Day’ timeline: Quantum computers could break existing encryption techniques within three years – and enterprises are nowhere near readyWhat will the Quantum-Safe 360 Alliance mean for your business and its post-quantum security posture?NCSC: Timelines for migration to post-quantum cryptographyNIST: Post-quantum cryptography