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Inspiring Tech Leaders

The Technology Podcast Series

How AI Uncovered a Critical PHP Security Flaw Threatening Millions of Websites

PHP

Advanced AI models helped cybersecurity researchers identify and investigate complex weaknesses that had remained hidden within widely used software for years.

And that raises a much bigger question.

If AI can help security researchers discover vulnerabilities faster than ever before, could it also give cybercriminals the ability to exploit weaknesses that were previously beyond their capabilities?

In this episode of the Inspiring Tech Leaders podcast, I explore what happened with PHP2Shell, how AI contributed to its discovery, and why this incident could mark an important turning point in cybersecurity. But I also explore something that I believe is even more significant for technology leaders.

Many organisations still struggle to understand exactly what technology they're running, where their vulnerabilities exist and how quickly they can respond when a critical threat emerges.

And in a world where AI is accelerating both security research and potentially cyberattacks, that lack of visibility could become an increasingly serious business risk.

The biggest cybersecurity challenge may no longer be discovering vulnerabilities. It may be responding quickly enough to protect ourselves from them.

Will AI ultimately give cybersecurity defenders the advantage, or are we entering an era where attackers will be able to move faster than organisations can protect themselves?

Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms

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72 Hours to Breach OpenAI - What AI Means for Cybersecurity

72 Hours to Breach OpenAI - What AI Means for Cybersecurity

Could AI be turning cybersecurity into an AI versus AI arms race?

In this episode of the Inspiring Tech Leaders podcast, I explore the rapidly changing relationship between artificial intelligence and cybersecurity, following reports that a small team of security researchers used Anthropic’s Claude to help breach an OpenAI environment in less than 72 hours.

The story highlights a fundamental shift in cybersecurity. AI can help security professionals discover vulnerabilities, analyse code, investigate attacks and strengthen defences, but the same capabilities could also give attackers greater speed, scale and accessibility.

I explore how AI is changing the economics of cyber attacks, what happens when AI agents are given access to corporate systems and credentials, and why an AI mistake becomes a much more serious security issue when the system has the ability to take real-world actions.

The episode also examines the emerging AI cybersecurity arms race, where attackers can use AI to automate reconnaissance and vulnerability discovery while defenders use AI to monitor systems, detect threats and identify vulnerabilities before they are exploited.

For technology leaders, the key question is no longer simply whether AI can perform a task. It is whether that AI can perform it safely when connected to real business systems, data and infrastructure.

Because the next phase of AI may not simply be about building more intelligent models. It could be about deciding how safely we give those models the ability to act.

Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms

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Claude Mythos - The AI Too Dangerous to Release

Claude Mythos

In this episode of the Inspiring Tech Leaders podcast, I look at Anthropic's Claude Mythos. This AI model is so advanced, so capable of finding zero-day vulnerabilities, that its creators have deemed it too dangerous for public release!
 
In this episode I explore the following:
 
💡 The astonishing capabilities of Claude Mythos, including its ability to uncover decades-old flaws in critical systems like OpenBSD and FFmpeg.
 
💡 Project Glasswing - Anthropic's unprecedented initiative to collaborate with tech giants like AWS, Apple, Google, and Microsoft to proactively secure our digital infrastructure.
 
💡 The profound implications for cybersecurity: Is AI flipping the script on attackers and defenders? What happens when AI can autonomously exploit vulnerabilities?
 
💡 Crucial lessons for tech leaders on preparing for AI-driven cyberattacks, embracing AI-assisted defence, and prioritizing secure coding practices.
 
This isn't just about AI; it's about control, the future of digital security, and the urgent debate around who should wield such powerful technology.
 
Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms



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The Reason Why Apple is Clashing with Vibe Coding

Apple Vibe Coding

In this episode of the Inspiring Tech Leaders podcast, I look at Apple's recent clampdown on "Vibe Coding" apps in the App Store. These AI-powered tools are democratising software creation, allowing users to build apps with little to no coding experience. But Apple is pushing back, raising critical questions about security, control, and the future of app development.
 
In this episode I discuss:
 
💡 What exactly is Vibe Coding and why is it a game-changer?
💡 Apple's rationale: Is it about protecting users from dynamic code execution, or maintaining tight control over its platform?
💡 The tension between developers pushing for innovation and Apple's strict guidelines.
💡 The broader implications for AI's role in software development and the evolving definition of an app.
 
This isn't just a tech story; it's a strategic dilemma for all tech leaders. How do we balance innovation with control in the age of AI?
 
Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms

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