Smashing Security podcast #489: How a brand new crypto wallet came with a spy inside

Imagine buying a brand new hardware wallet for your cryptocurrency with the shrink-wrap still on… what could possibly be hiding inside? We break out a Geiger counter and a cat to find out.
Meanwhile, malicious ads are targeting journalists with zero-click attacks.
Plus, Origin’s Spencer Thompson reveals what AI agents are really getting up to on your employees’ laptops when nobody’s looking.
All this and more in episode 489 of the “Smashing Security” podcast with cybersecurity expert and keynote speaker Graham Cluley, and special guest Lianne Potter.
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Hello, hello, and welcome to Smashing Security, episode 489. My name’s Graham Cluley.
You’re from Yorkshire, right?
If you want to call me the Queen of the North, I’ll take it.
This week on Smashing Security. We’re not gonna be talking about how a cyberattack hit Romania’s stock market agency.
So, Lianne, what are you going to be talking about this week?
But that washing machine ad might not just want your money, it might also want access to your phone.
Plus, we’ve got a featured interview with Spencer Thompson of Origin, who reveals what AI agents are really getting up to on your employees’ laptops when nobody is watching.
All this and much more coming up in this episode of Smashing Security.
Agents talking to each other, dividing the work between themselves, leaving notes for one another in the dark where no human was watching.
If an AI agent caused an incident at your company tomorrow, what evidence could you actually produce?
What it reached, what it changed, laid out in order, start to finish.
No cloud gateway, no blind spot. Origin is already there.
I’m not usually an early adopter because I’ve been stung too many times — either not meeting expectations or, traditionally in video game land, the red circle of death and things like that.
So I like to see the reviews and I like to agonise over purchases for a long time, but I do like my gadgets.
What I’m going to do is I’m going to describe things, and the more dangerous the thing is, the faster it will click.
But I’m going to ask you before I unleash my Geiger counter, how dangerous you think it is. Okay?
Just trust the Geiger counter. Don’t worry about the cat at all. Okay.
Not a peep at all from the cat, so the cat’s being very well behaved. So I would say we’re doing well. All right, this is the final round now.
It’s been bought brand new from a big electronics chain store. It’s in the box.
The radiation has killed the cat. But the thing we’ve learned is that appearances can be deceptive.
And that really is the message of the story I’m gonna tell you today, is even when something appears completely legitimate, it may in fact contain danger.
There may be no outward signs whatsoever that it’s something malicious or something that’s been tampered with.
Because a man in Germany recently opened the box, not to find Schrödinger’s dead cat, but instead to find his cryptocurrency hard wallet, which he had bought from a high street store, had a secret spy chip inside it.
So to anyone who doesn’t know what a crypto hard wallet is, as we all know, crypto exchanges, they get hacked or they go bust or they vanish in the middle of the night all of the time.
So cautious people very, very wisely will take their coins off the exchange.
They don’t leave them up there, and they will keep the keys to their crypto wallet on a hardware wallet, which is like a little USB stick.
It’s got a little screen on it, may have a couple of buttons, and the keys to your wallet never leave that device.
They’re not connected to the internet, which means that it’s much harder for criminals to break into your wallet and steal your money.
And they claim to have sold millions of these things.
And when you set up one of these, what they do is they show you 24 random words on the little screen, on the sort of USB sticky thing.
And that is your recovery phrase, your seed phrase. And you write that down on a piece of paper or you memorise it. I doubt you’d memorise it.
You hide it somewhere, you tell no one, because whoever has those 24 words can pinch all of your money.
So Lianne, if you had a cold wallet, where would you hide your 24 words, your seed phrase, do you think?
In fact, I’d probably dress up as a pirate with a wooden leg and an inflatable pigeon on my shoulder as well. I’ve got quite a thing about being a pirate.
Well, earlier this month, Ledger started investigating reports that customers were having their crypto wallets emptied. Experts reckon round about $100 million worth of crypto.
And further investigation has found that inside the wallets, there was something that shouldn’t have been there. There was an extra little circuit board.
And it wasn’t just a circuit board, it had a tiddly little tiny antenna. Can you imagine?
And then as each character of your 24 secret words was sent to the screen, the implant copied it, stored it, and then later connected to a nearby cell phone mast and sent all of that information to the thieves.
It didn’t alter its software. It didn’t fiddle with your transactions in any way.
So these wallets do contain built-in security and integrity checks, but they wouldn’t have seen this because as far as the wallet was concerned, nothing had actually changed.
The gubbins which is used as the hardware wallet hadn’t been altered. It’s just an extra little bit shoved in there.
So you’ve bought this thing new, you think it’s squeaky clean, you think you can trust it.
You’re going to entrust it with such highly important information as your crypto wallet key, and you’ve got a real problem. Yeah.
Round about August of last year, someone posted on Reddit that he had bought a Ledger from an online marketplace.
He’d opened it up and he’d found extra circuitry inside, and he sent it to a well-known hardware hacker, a guy called Joe Grand, who took it apart and confirmed that there was a backdoor there.
It’s not like they cost a fiver.
Because it just doesn’t make sense that you would just break into something you’ve just newly bought.
Maybe someone had decided, oh, I don’t need this thing anymore, I’m not using it, or I’ve bought a different one, and so I’ll chuck it in the bin.
Just out of curiosity, I’ll open it up.
Well, I’ve only got four pounds ninety-nine in my crypto account, so don’t spend it all at once. Frankly, I probably didn’t need the crypto wallet in order to protect that.
I’ve come out worse from that entire equation. So this guy Joe Grant, he had a Zoom call with Ledger. He warned them about this.
And he’s given talks about it at security conferences, but he says Ledger went fairly quiet afterwards.
And when someone asked them about it, they simply said they’d found no evidence that the implants had been used to steal anything.
But roll on to today, and it seems people are losing quite a lot of money. And meanwhile, things have evolved.
So this one, which someone posted about on Reddit in August 2025, looked like some kids’ soldering homework. Now they’re much more professional.
One of the people who bought one of these new ones is a guy called Mark. I think it’s Mark Capellis. I think that’s how you say his name. Apologies if not. He’s the former boss of Mt.
Gox. And Mt. Gox, you may remember, is the crypto exchange. They lost nearly a million Bitcoin in 2014. So he knows what a crypto security disaster looks like.
And he says he bought one of these wallets at half price from a seller on Amazon.
When I was a wedding photographer many, many, many years ago, I would buy SD cards.
But Amazon would be sending out fake ones and you would only realise ’cause you’d put it into your device to check it, to format it, and it would supposedly be, you know, 25 gigabytes or something like that.
But actually you would look under the hood and it was just like 1 gigabyte.
He also pointed out, by the way, that if you bought one of these cheap Ledgers from a dodgy seller, you can actually pull out the SIM card.
From the spy implant and you can enjoy the criminal’s mobile data. So you could actually—
Anyway, he started posting about this on the 8th of October, and that got quite a lot of attention because of who he is.
And the thefts came to light the next day, and they all involved Ledger devices sold through a reseller called CryptoBit.
In Southeast Asia, cybersecurity journalist Kim Zetter, she has a theory about this.
She reckons the thieves may have been waiting for the balances to get high enough, and when the news broke, maybe the criminals decided we’re gonna take as much as we can right now.
And she thought maybe they were actually waiting for the balances to build up before they took money.
First of all, ’cause you haven’t used one before, perhaps you just put $5 in. You don’t wanna steal it at that point.
He bought a Ledger cryptocurrency wallet from a high street store, and he opened up his Ledger after reading these online reports, and he found a similar problem as well.
So now, according to Ledger, they say the number of affected devices is really limited. They say there’s no indication its own systems have been compromised.
They say that there’s an ongoing threat to the whole industry, not just to Ledger, but it does seem that there’s quite a lot of mischief going on.
There’s also been some people who’ve said that they’ve encountered Trezor crypto wallets, which are compromised in a slightly different way, and they’re compromised in so much as they’re not relaying the seed word, which is displayed.
Instead, what they’re doing is they’ve been altered so they only show 1 of 12 combinations of seed key.
So the criminals already have a list of 12 possible keys, so if you’ve got one of those dodgy ones, chances are that you’re going to be using seed keys which are already known.
Don’t take security seriously with your crypto wallet and do it the old-fashioned way, which is probably using hard drives that get chucked into landfills eventually.
If you bought a Ledger device through Cryptobilis, don’t set it up. If you’ve already set one up, move your funds to a new device with a new recovery phrase.
And if you’ve bought from somewhere else and you are worried, Ledger has posted a guide on its website about how you can check your device.
And obviously buy directly from the manufacturer may be a lot more sensible rather than going to some third party instead, ’cause it could have been tampered with en route.
And as that poor old cat has found, a box being sealed isn’t necessarily an indication that everything is right and proper inside.
Certainly cryptocurrency wallets generally, these hardware ones, are a really good idea in terms of defending your cryptocurrency.
But you just got to make sure that the device hasn’t been tampered with.
They help executives, high-profile individuals, and the organisations behind them shrink the digital exposure that turns into real-world risk.
Through their technology platform and a team of expert intelligence analysts, 360 Privacy identifies exposed personal information, works to remove it at the source, and continuously monitors for new exposures, so it doesn’t just pop back up next week.
So if Joe tried this again after working with 360 Privacy —
Because as I said at the top of the show, you buy a washing machine and then you are shown washing machines for the next 6 months. That is the joy of internet adverts.
So this week’s story is about online advertising, specifically the type that can install spyware on your device.
But this is not your traditional boy meets ad, boy clicks on ad, ad is a dodgy download, boy downloads it anyway story.
It’s a lot less romantic than that because now we’re at a point where you don’t have to click on anything to get hacked.
So this is a zero-click attack, which is terrifying in my opinion.
This research comes from Citizen Lab, which is based in the University of Toronto, and they uncovered an operation.
They’ve named it Adfection, and they say it’s an Israeli advertising company called DiscoverTech, which appears to be working with commercial spyware companies using online adverts to target people’s devices.
Now, one of those spyware companies is called Candiru. Do you know what a candiru is, Graham?
And reputedly, if you take a wee in Amazon — the river, not Jeff Bezos’s gaff.
Integrity indeed. The Lady Duff Protector.
I imagine like little image ads or something like that on people’s websites or in games.
So there is no escape apart from — and I will mention at the end — what we can do to protect ourselves, obviously.
But the research went into how it all works, and I’m not sure if you are aware, but the way advertising works on the internet is there’s tons of infrastructure around it.
So companies bid against each other in real time for basically the privilege of showing you something you don’t want to see.
Now, it sounds very sophisticated, but it makes you think all that information about yourself is just flying around and being sold to the highest bidder.
So what DiscoverTech had done, according to the researchers, is they set up a platform called Controlium. Now, it sounds dodgy, but it’s not.
It’s just the same sort of platform any other online advertising platform would sell.
But Controlium let customers pick out specific people or devices to target using things like mobile advertising ID, or your browser identifier, or an IP address.
That’s the little bit that’s a little bit strange to go into that much detail, because normally it’s just demographic-y kind of things.
The system actively identified particular devices, profiled it, and then decided whether or not it would go further.
I mean, initially you might think, well, I want to do that because I want to make as much money as I can.
But if you wanted to target specific people, or if you had someone who you were actually specifically targeting, you just want to go for them because otherwise the mobile phone companies and the ads and so forth may be updated to stop this zero-click exploit from working.
So the end state wasn’t necessarily traditional financially-led hacking or anything like that.
It was about, actually, we want to be able to spy on the people you want to spy on without them knowing. And as I say, you’re not clicking on anything. It’s just happening.
You have been targeted elsewhere using a legitimate online process. This is how advertising works, except for that platform, they’ve decided to go granular.
Then you pick who you want. So if you already know that journalist’s IP address, for example, you would be able to target them using that.
You could bid a fortune saying, if Graham comes along.
So they — the researchers said — this is not something that they just tested in the lab. This is actually being exploited in the wild.
So the 45 of their journalists between 2024 and 2025. And it is linked to the spyware company, Candiru.
So the operation itself is enormous. So Citizen Lab analysed, I believe, 4 billion bidding records.
And if you work, for instance, in a news organisation and you think that you’ve been targeted by maybe state-sponsored intelligence teams or by malware, trying to get leads from journalists, they are a very good resource to turn to because they will dig into these things and help you find out what’s going on.
I must admit.
An ad blocker is really useful, particularly at the network level, if you can.
I think a lot of people think, oh, ad blocker, I’ll run that in my browser, which is a great start, but of course it’s not going to stop ads which appear in your games and things.
So apparently somewhere along the lines, we went from people selling things that we didn’t need to someone installing mercenary spyware on your phones, all because you just needed a new washing machine.
But I don’t know about you, Graham, the man who sold that dodgy Rolex at the back of the van, I might start buying my washing machines from him instead in cash, because at least if someone’s spying on me there, at least it’s because I’ve done something interesting.
It automates the mind-numbing stuff, the evidence chasing, the questioning hell, the sort of thing that makes you want to go and hide away in a cupboard like you have.
Could be a funny story, a book that they’ve read, a TV show, a movie, a record, a podcast, a website, or an app, whatever they wish.
It doesn’t have to be security-related necessarily.
And he’s like the voice in their ear saying, oh my God, you’re not going to say that. And you see his reaction as the politician gets themselves more and more into a mess.
Anyway, those videos are great, and I was curious what he would be like on tour live. My goodness, it was great. It was really good. His tour is called Hope All’s Well.
He’s not somebody who’s gonna stand up and pump out jokes at you, but that doesn’t mean he’s not very, very funny. And he uses technology very much in his show.
So he has made a heck of a lot of videos which he interacts with during the show in all kinds of imaginative ways.
I absolutely pity whoever was working behind the scenes, pressing all the buttons and controlling technology. And the timing is extraordinary.
So for instance, there are sections of the show where he goes onto a Zoom call with other people. The only other people you see throughout the entire evening is him.
He had a right old go at AI and the tech billionaires. If you get the chance, I would recommend it. Go and check out Michael Spicer on tour at the moment in the UK.
His show is called Hope All’s Well, and I think it’s running for a few more months yet.
So yes, every time I watch something on the news and I go, oh, that’s a right gaffe from a real politician, I’m like, yes, I’ll just wait for him to give me his comment.
Have you ever heard of this film?
So, it’s adapted from an Aldous Huxley book in 1952 called The Devils of Loudun, and you might have heard of Huxley because he wrote the dystopian novel Brave New World.
But Ken Russell’s The Devils came out in 1971 and stars the lovely Vanessa Redgrave, and of course, the dashing Oliver Reed.
It’s a historical political horror dramatisation of demonic possession in a convent of nuns in 17th century France.
Now, when it was released, it was actually, at the time, one of the most popular films in the British box office.
So due to the graphic nature of the portrayal of violence and sex, obviously mixed in religion, it quickly got an X rating, and it was pretty much banned for ages and heavily cut to the extent that unless you actually saw it in 1971, you didn’t actually see Ken Russell’s film.
Because anytime it did get released — and it got released very briefly in the early 2000s on home video — it’s basically mostly out of print, unobtainium since then, but cut to shreds.
But after years of campaigning, most of it done by Mark Kermode, the British film critic.
Ah, so they’re using the original negatives as well, so it’s going to be beautiful.
And it debuted in Cannes this year, and the people at Cannes have said that it was the best film of Cannes.
And if you’re into that kind of thing, it’s currently got a Rotten Tomatoes rating of 97%, which is one of the highest.
So I’ve been waiting all my life to see this film in its full uncut glory. But unfortunately, Graham.
So they’ll put more screenings on for me so I can finally live out my dream and experience one of the most controversial films of all time.
Coding agents like Claude Code, Codex, Cursor now running on employees’ laptops, and they can use that person’s logins, open their files, run commands, change things.
Many companies have very little idea what those agents are actually doing.
Well, I’m delighted to say that to help us untangle all of that today is Spencer Thompson, the CEO of Origin. Spencer, welcome to Smashing Security.
You can install it via CLI if you’re an engineer, or you can just download a desktop app.
And what they actually do is translate human language into code, and use the resources on a computer to go and perform the actions.
So for example, if you are using Claude Code and you say, I want to build a landing page, or I want to build a marketing website, it will go and create and edit files.
It’ll go write the code on your behalf, and it will go and produce what you ask for.
And the kind of magic of this, and the reason that these things have exploded, is people don’t have to know how to program to be able to create things that traditionally required code.
You can just talk to it like you’re speaking English. And this is kind of what’s so remarkable about these tools.
Which brings me to an obvious worry, which is, say a coding agent on an employee’s laptop does something that nobody told it to do, like changing a file or running a command it wasn’t asked to run — afterwards, what records does the company have to work out what happened and why?
One is we don’t really have the auditing or traceability built into tooling to do this, which I’m sure we’re going to talk about later.
The second reason is probably the more important reason — these things are incredibly complex.
I think people probably dramatically underappreciate just how complicated AI agents are.
When you type a prompt into a box and hit enter, a lot of people use AI like it’s search, right? They go to ChatGPT.
These agents will basically go and do whatever they can to accomplish the goal that you gave them. And what that means is that in some cases they’ll split off into multiple agents.
They’ll go and call agent swarms to go and do work on your behalf. They’ll share context between agents and pass things back and forth. And this is all happening in real time.
So imagine you have all these multi-threaded parallel things happening in real time and you have no idea — in some ways it literally feels like magic to people, where they just press the button and things kind of emerge.
If something did go wrong, it turns out it’s really complicated and difficult to figure out what actually went wrong, considering the complexity of these things.
And one of the things I was reading about is there’s an Origin engineer who asked Codex and Claude Code to run a query or something. Is that right?
And so he was using Codex, which is OpenAI’s desktop app. He had asked Codex through a prompt to go and fetch some data in order to perform work.
Codex said, I actually don’t have permission. I think the engineer had gone to bed and literally just let it go.
All these things run on what’s called auto mode now, where you don’t have to — you know how you used to have to hit 1 to accept all the different things over and over and over again?
No one does that anymore. They just let it run and do whatever it wants.
And so the engineer, I think, went to bed and what happened was Codex figured out that it could not get access to the data because it didn’t have permissions, but it found out that Claude Code was running on the same machine.
It decided to open Claude Code. Remember, no humans involved in any of this, right? So the agent decided to open Claude Code and it said, go get the data.
Claude Code tried to get the data and said, I don’t have permissions. And Codex said, no problem, I’m going to change your permissions.
So I’m going to change it to what’s called `–dangerously-skip-permissions`, which is this thing where you basically just does whatever it wants. It changed the permissions.
Claude Code then went again and tried, got access to the data, brought it back, and gave it to Codex, and mission accomplished.
If I told you that a human did those things, you would lose your mind. But this happens every single day inside of organisations, and people have no idea.
So we do this thing whenever we give demos, where we lock our demo environment so that nobody can push code while I’m giving a demo, which makes sense. It doesn’t blow things up.
So I’m giving this demo, I tell people on the team, can you please make sure it’s locked? They say, yeah, no problem. 20 minutes into the demo, something goes wrong.
And so I get around it and I do my thing. And then I get off the call and I say, hey guys, what the heck? Something happened. And they said, no, nothing happened.
Like, what are you talking about? No one unlocked staging or demo to push code into. And I said, no, but something happened at minute, whatever it was, 21 of my demo.
So we used our own product and we did a search and we said, hey, something happened around minute 21 of this.
And what we uncovered was that the agent itself actually decided to go and unlock the demo environment in order to continue doing its work, even though the human being told it not to.
And so we had to go through this whole trace to understand that actually it wasn’t a human. Like, I was ready to blame the team and blame a human being.
It’s just an agent acting on its own. Absolutely remarkable.
One of your researchers gave an AI model 200 of your own AI chats, so what people had typed in, and from that, it worked out some of your company’s private rules.
I would argue that this is maybe a controversial thing to say, but I think people underappreciate just how much people share with AI and just how much work is done by your employees using AI.
If you ever go into whatever AI you use — ChatGPT or Gemini or Claude — ask it to tell you about yourself. And I promise I’ll get to your question.
There’s a bunch of fun proxies for this. If you ask it to say, what city am I most like and describe why — for what it’s worth, the answer for me is London.
There’s a bunch of different ways you can get at this. These agents know an enormous amount about yourself, and so that’s called working memory.
And so you extend that out to an organisation.
If you’ve got 10, 50, 100, 200 people, the agents actually probably know more about your organisational structure and the way that you do work than probably you do at this point.
And so its ability to read through chats and understand the context of that is frankly trivial for these things. This is like the most basic of what they do.
I just think people have no idea just the level of this right now.
So let’s talk about how Orion approaches all of this.
We’ve had antivirus for years, which checks your files, and we’ve got EDR, which collects logs, and now AI agents are working inside companies as well.
What is a trace and why does it matter more now?
In the case of EDR, they would try and ascertain logs from the machine, so operating system telemetry, and try to piece those things together to understand what was malicious.
A trace to us is kind of the new unit that you need to pay attention to in security, and the reason is we define a trace as anything that happens between a person or an agent hitting enter on a prompt box and typing something in, and when it completes.
Now, one important thing to note here is that I think people assume — again, going back to my chat example — that they’re used to typing something into a box, hitting enter, and getting results in like two seconds, right?
Some of these agents will run for up to a year straight doing work.
So the ability to actually understand all of the context that’s contained within that work is what we define as a trace.
And so that means the intentionality of what the person was trying to do, it means the cost of how much intelligence it’s consuming, it means all the security risks, it means what files it’s touching — you can imagine it goes on and on and on.
All of the things that that agent is actually doing is what we consider a trace.
And we think that every single organisation of the future is going to need to understand and capture their own traces in order to go and build their businesses.
So the first thing I think to note is that people also underappreciate that they’re already sending all of this IP and private information up to the models themselves.
So if you’re paying for an Anthropic licence or a Copilot licence, whatever it is, in most cases they don’t have an intermediary between those things.
And so they’re just chucking all of their proprietary IP up into the models.
This has become a very controversial topic — are these frontier companies trying to compete with organisations or not.
As a business, our job is almost to be like an auditing and compliance tool for organisations where they can perform investigations if something, heaven forbid, does go wrong.
Right. We’re not in the business of capturing or owning data. That is the company’s data. This is a tier 1A priority for us. And so there’s a bunch of things that we do.
We obviously have a whole bunch of role-based and access-based permissions in terms of who can access what. This isn’t even about us — it’s even within the organisation itself.
This stuff is so sensitive and so proprietary. Not everybody in the organisation should have access to this either. All that data sits on the company’s side, not on our side.
Obviously it’s stored in whatever structure they want to store it in, whatever encryption they want to have on top of that.
But I think one thing to note here is this is a brand new era.
The ability to capture your own prompts and traces and store these things and structure these things and secure these things is kind of the Wild West right now.
And so we try and take that unit super seriously, give all that data to the organisations themselves, tell them how to secure it, tell them how to structure it.
And then they work with us to say, okay, now how do we use the tool again, if something goes wrong, to figure out what actually happened?
And we try and do that in an automated way that lets the customer touch it without us being involved.
The first thing is it’s actually very difficult to get your own prompts out of these frontier companies.
One of the challenges I have for organisations is go show me all the prompts that your employees sent in the last 30 days, not using us, meaning using whatever tools you want.
Everybody assumes they already have all this information. They actually don’t. So that’s the first thing that people always see.
The second thing that they see is we typically discover agents that they had no idea were actually running in their environment.
So imagine a Chinese model running offline on a computer, like a Qwen, or a DeepSeek or something, we always discover agents that they had no idea existed.
So those are the first 2 things. Those are largely inventory or visibility problems.
Usually within a couple of days, again, I think people underappreciate how much AI usage there is, we’re able to discover a rogue agent doing something that it wasn’t supposed to be doing.
So then usually we’re able to uncover that and give that back to the customer and say, hey, you should be paying attention to this thing. Go take a look at this.
And then they launch their first investigation into what that agent actually did. Hopefully the experience is such that they go, well, we can’t not have this tool, right?
Because if we don’t have this tool — going back to your very first question — we have no idea what’s actually going on inside these environments.
One of the things it shows us is where people are spending our intelligence dollars.
I think, again, people are underappreciating — a way of thinking about AI agents and intelligence is actually digital labour.
People have no issue with thinking through human labour costs, right? If I’m spending $100 million on people costs, that’s accounted for to make sense.
When people are renting intelligence from these providers and they’re spending it inside of their — these agents are doing work.
I think a very useful way of framing all this is to think of these things as digital employees or digital labour.
If you look at your total labour costs now, what percentage of that is actually digital versus physical? And I suspect it’s a larger percentage than people think it is.
So one of the things that we use this for is we’re able to tell where people are spending that intelligence inside of the business.
And we have multiple examples where we have found people using it — not because they’re malicious, but because of certain features being turned on — way overspending AI intelligence budgets inside of our own organisation to the tune of tens of thousands of dollars a month in some cases for us.
So that’s the first thing that we uncover.
And so we just use our own product to tell us what’s happening every single week.
And then what security risks are in place given that? And the product will just tell us, you know, this person did this in this way. This is how long it took.
This is what got accomplished. They did this thing that was totally unsafe. They shipped a credential up to a cloud environment that it shouldn’t have.
It’s almost like replacing the standup that people typically do with engineers. We just use our own product. Very cool.
And the reason is, ignoring the security stuff for a second, just the business risk from a spend perspective, I think it’s very interesting.
There’s a lot of organisations that we speak with that have attempted to lock down agents. Meaning, you know, they’ll say, well, we are a Microsoft customer, we only use Copilot.
Almost every time we’ll wander in the door and within the first day we’ll say, well, you might be mandating that people use Copilot, but in fact, half your employees are using another tool and they’re spending either their own money on their own accounts or they’re spending your money.
I think people just have no idea. And so I think from a just basic V1, what do you do? Just try and gather an inventory about where these agents actually are in the workplace.
Listeners, if you’d like to know more about what Origin can do inside your company, here is a special link for you, originhq.com/smashing. That’s originhq.com/smashing.
And all that remains is to thank you, Spencer Thompson of Origin, for joining us today on the show.
I’m sure lots of listeners would love to find out what you’re up to and follow you online. What’s the best way to do that?
That’s my cybersecurity podcast, or Tech Film Noir if you want more film chat.
And don’t forget to ensure you never miss another episode — follow Smashing Security in your favourite podcast apps such as Overcast, Spotify, and Apple Podcasts.
For episode show notes, sponsorship info, guest lists, and the entire back catalogue of 489 episodes, check out smashingsecurity.com. Until next time, cheerio, bye-bye.
And I’ve got to give a huge thank you to Lianne for joining me this week and to this episode’s sponsors, 360 Privacy, Origin, and Vanta.
Do go and check out their offerings because they help keep the show afloat. Plus, we need to thank the following patrons whose names have been plucked out of the hat.
So huge thank you to the following: we’ve got Julian Beach — sounds less like a person and more like a coastal retirement village — Bash Aura, which they have a zero where the O should be, clearly keeping up the hacker aesthetic, Bobby Hendrix — just letters away from being a rock legend — Marwan Kathaya — a name that rolls off the tongue beautifully, but not when said by me.
Matt Weir, Matt Weir? Matt the Weird? Matt the Wire? We’ll never know. I love it regardless. Yuri Taraday, which sounds like the title of a very energetic Russian musical.
Matt Cotton, who is soft, dependable, and hypoallergenic. And finally for this week, Dan H. Just the one initial, plenty of mystery.
The names you just heard belong to the splendid, generous, and faintly reckless members of Smashing Security Plus, a special tier of listener who get the episodes ad-free, hot off the press before everyone else.
And this is the real jewel in the crown: the privilege of having their name read out at the end of the show and gently ribbed on international podcast platforms.
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Now, if you’re not keen on the whole giving us money thing, that’s entirely understandable.
I realise times can be tough, and I remain fond of you regardless, especially if you will do something for me, which won’t cost you anything other than maybe your pride.
I’d like you to badger your friends into listening, mention us at dinner parties, or simply scribble Smashing Security on bathroom walls. Please don’t, don’t actually do that.
Honestly, whatever route you pick, it means the world and it makes the whole mad enterprise worth carrying on with. And so until next time, cheerio. Bye-bye.
Host:
Graham Cluley:
Guest:
Lianne Potter:
Episode links:
Sponsored by:
- Origin – Endpoint AI observability. Put your AI agent on the record, and request a demo.
- Vanta – Expand the scope of your security program with market-leading compliance automation… while saving time and money. Smashing Security listeners get $1000 off!
- 360 Privacy – End-to-end digital exposure reduction for organizations, executives, and families. Request a demo to reduce your digital footprint.
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Thanks:
Theme tune: “Vinyl Memories” by Mikael Manvelyan.
Assorted sound effects: AudioBlocks.

