Leadership

Anything you can do, we can do worse!

‘On July 21, OpenAI disclosed that several of their models had broken out of an isolated test environment by exploiting a previously unknown (“zero-day”) vulnerability.’

But wait, it appears if one AI LAB having terrible security practices isn’t enough, we have another one now saying, after the Open AI incident, they have actually reviewed their logs, and they are terrible at security too!

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Leadership

Vulnerabilities found with AI, oh my!

Ok, so the world is currently obsessed with AI (at least the digital world…) and with the latest Apple update releases we can see that LLMs have been used to help people find bugs! This is great news, finding bugs is better than not finding them!

The funny thing however is the obsession with CVE counts…. this is, honestly not a very useful metric to a defending org.. and I’ll try and explain why!

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AI

AI: Fear it, so I can sell you the…

We are already watching the fear, uncertainty and doubt industry spin up around AI. It follows a pattern anyone who has sat through a vendor pitch will recognise: take a real, narrow signal, strip out the caveats, and inflate it until it fills a keynote slide or a board paper. The problem is not that AI carries no risk. It carries plenty. The problem is that the loudest claims are almost always the least accurate, and the people making them usually have something to sell — a model, a defence against one, or a regulatory moat.

So let’s take the three narratives I keep hearing, put them next to the evidence, and separate the kernel of truth from the theatre.

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AI

How do LLMs work?

Ok full disclosure, because you know I like to say when I’m using ‘AI’, this post is specifically mostly created by an LLM. Because it’s an interesting experiment and I don’t claim to be an ‘AI’ model creation and platform expert, so let’s see if using an LLM can help me! I was in a meeting along time ago at MS Victoria with some people (can’t imagine what types of people that would be) and we were talking about this tech, it was so long ago I can’t remember the details or anyones faces (useful that)… but the convo was really good, anyway, so what is an LLM and how does it work?

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Leadership

You Can’t Defend Everything: Threat Modelling as an Economics…

In a world now seemingly filled with mad probability robots you might think this makes the world simpler, I’m not so sure…. More code, faster, more tools, faster, more technical debt, faster… and then what of the erosion of the human importance? Well human 2.0 is probably augmented not redundant… and who doesn’t love a bit of Deus Ex! Now full disclosure this blog is guided by me but written by Claude (mostly), why? Why not? I’m still here, guiding things, writing this intro by hand, but the concepts of cyber security, the foundations and underpinning logic, well they are probably older than me! I’m not talking about castles and moats, but even they play a part in our understanding of attack and defence. There’s even a bit of a public wifi link here if you read between the lines. Not every threat actors is all knowing and all powerful (in fact no one is!). So let’s see what Claude Opus 4.8 has to say about the topic:

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Threat Intel

Bleeding Out

When you compromise a firewall you have lots of options in terms of next steps, from using the VPN, changing configurations, creating backdoors or perhaps using the firewall to PCAP. In this post I’m going to explore the ‘Fortibleed’ campaign. I have to note, we can see in honeypot logs this TA did not seem to limit themselves to Fortinet exploitation, however the area of analysis has a heavy Fortinet element. You will see they deployed a capture and analysis platform. Treat everything with a pinch of salt because I’m using a mad probability based machine (LLM) to support me for this!

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