I am a sucker for Ekster products. Quite simply they work and I will either default to them or come back to them when I have tried other options. An example is this:

This is the Ekster Cardholder Pro for MagSafe. And its reason for existence is to act as a wallet that I can slap onto my iPhone and take it with me on a bike ride or a cross country ski. It’s a pretty simile device that claims to hold 7 cards. Though through an add on that Ekster also sells it can be expanded to 17 cards. Frankly I have to assume that they mean 7 un-embossed cards as I have an embossed card (aka raised letters or numbers) which limited me to five cards. Since five cards was what I needed, it was fine for me. But it may not be fine for you. So buyer beware.
It has MagSafe magnets on both sides. But only one side can be used to attach the wallet to the phone as the magnets have different polarities. That I have to assume is for any accessories like a tracking card not to mention anything like cash clips or ten card expansions. It it made of 100% recycled aluminum and the mechanism that ejects the cards like this….:

…Can be cleaned and repaired. Those are quality of life things that matter to me. I got it in matte black because matte black is my thing. But it comes in many other colours.
As an aside, this works for Android users as well as Ekster also has stickers for Android as well as a tracking card for Android.
Now for the magnets. It was decently strong when used with my case. But it was a tad stronger with a naked iPhone. That means that your mileage may vary when it comes to magnet strength.
Now over the second half of this review which is the Ekster Tracker Card for MagSafe.

This is a thin tracker card that has Apple Find My compatibility via Bluetooth. Or put another way, if you want to treat it like an AirTag which means that you are using the Ultra Wideband functionality, this card won’t do it. But in my experiments, I found that the best shot of finding the card was if it was stationary. It can’t be constantly tracked if it is moving. But it is still trackable. It’s not a loud when it comes to generating an audible signal versus some other cards that I tried which are louder, but I had no issue hearing it. That said, I do wish it was louder so that there were no issues hearing it. Also, it only comes in black FYI.
When it comes to the MagSafe part, this is where it shines. The MagSafe connection to the Ekster wallet was extremely strong and wasn’t coming off unless you wanted to take it off. Or put another way, it would not come off in causal contact. It clearly was designed to not be flush with the Ekster wallet so that removal is easier. But part of me would have liked to see it flush to make it even harder to remove than it already is. But I can see why Ekster did that. Thus I am fine with it. And it fits my use case perfectly. Which is to toss it into my cycling jersey and go with my iPhone. Or to keep it in my pants pocket separate from my iPhone. Another thing to note is that there are MagSafe magnets on only one side which is the side that doesn’t say “Ekster.”
One thing that really needs to happen is that some sort of instructions need to be placed in the box. I say that because finding out how this card was charged required a search of the Internet which is a #fail. For the record, if you are using a MagSafe charger you put the side that says “Ekster” on the charger until it magnetically connects. You should see a really small white light start to blink. It is charged when the light goes to steady. All of this assumes that the card is paired with an iPhone. A charge lasts about five months which I have not tested, but I have not seen anything to the contrary. And I would suggest charging it before the first use to get the best results with it.
The only downside to this combo is the price. The wallet was $159 CDN which is far from cheap. And it is $79 CDN for the tracking card which is also far from cheap. But having used Ekster products in the past, they do last so you only buy this cardholder once. That is a very big win as far as I am concerned.

Guest Post: The ransomware industry scaled just fine without AI. Here’s what that tells your 2027 budget
Posted in Commentary with tags secure.com on October 16, 2026 by itnerdBy Waseem Ahmed, Head of Engineering, Secure.com
Summary
In April 2025, UK retailer Marks & Spencer lost about £300 million in profit to ransomware. The way in wasn’t clever. Someone phoned the help desk, posed as staff, and walked out with a password reset. No AI. Just an open door.
TL;DR:
Ransomware grew into a billion-dollar criminal industry years before modern AI tools existed. It still breaks in through the same plain doors: stolen passwords, unpatched systems facing the internet, and phishing. AI speeds up a few attacker tasks, but it doesn’t create the opening. So the smart budget move is plain. Pay to close the doors you already have, not to fight a robot attacker that isn’t hurting you.
Ransomware got big before AI showed up
Ransomware was already huge long before anyone typed a prompt into a chatbot.
In 2017, the WannaCry attack hit more than 300,000 computers across 150 countries in a matter of days. That was years before today’s AI tools reached the public, which only happened at the end of 2022.
By then, the business model was already built. Criminal groups rent out their ransomware to others, split the profits, and run their own support desks. One analysis of public attacks counted 277 ransomware gangs between 2015 and 2025, with 102 of them active in 2025 alone.
The trend keeps climbing. Verizon’s 2025 Data Breach Investigations Report found ransomware in 44% of all breaches, up from 32% the year before.
Timeline showing ransomware became a large criminal industry years before modern AI tools reached the public at the end of 2022.Ransomware · scale over time
The industry was built before AI arrived
Ransomware was already a global, organized business long before anyone typed a prompt into a chatbot. AI showed up late.
2017 – WannaCry goes worldwide – One attack hit more than 300,000 computers across 150 countries in days. No AI involved.
2019 to 2021 – The criminal economy matures – Ransomware as a service and data theft extortion become the standard playbook. Gangs rent tools and split profits.
Late 2022 – AI shows up here – Modern AI tools reach the public
Generative AI arrives after the industry is already built. It speeds up a few attacker tasks. It does not open the door.
2025 – Still climbing – Ransomware now shows up in 44% of all breaches, up from 32% a year earlier. The growth needed no AI.
(Sources: Verizon 2025 Data Breach Investigations Report; Mastercard ransomware trends analysis [2026]. Figures are directional.)
The doors attackers use are boring and known
Here is the part that should shape your budget. Attackers rarely need something new. They walk through doors you already know about.
Three openings show up year after year:
Attackers love targeting the VPN and firewall. Verizon 2025 DBIR found attacks on VPNs and edge devices grew nearly eight times in a single year. The cyber insurer Coalition traced 58% of its ransomware claims to problems with these same perimeter devices.
Look back at that retailer. The door was a support desk that reset the wrong person’s password. Boring. Known. And it still cost hundreds of millions.
(Share of breaches source: Verizon 2025 DBIR. Each is a separate way in, so they do not add to 100%.)
Two additional stats worth noting:
(Source: Coalition 2024 claims data. Figures are directional.)
So where does AI actually fit?
AI helps attackers, but it’s not a magic key.
Researchers who study real ransomware say AI speeds up small tasks. It writes smoother phishing messages. It helps a weak coder clean up buggy malware. In one case, it helped map a target network faster.
None of that opens a locked door. The attacker still needs a stolen password or an unpatched box to get in. The people who track these groups describe AI today as an accelerant, not a revolution.
This matters for spending. Many teams fear a clever AI attacker more than the plain threats sitting in front of them, a gap we covered in our look at what security leaders actually fear. That fear rarely matches where the money is actually lost.
What this means for budgets
If the doors are known, your budget should pay to close them first. Chasing AI threat hype before the basics is spending backward.
Fund the doors, not the hype: If the ways in are known, your budget should pay to close them first. Here is the order that stops the most ransomware per dollar.
1 – Identity and MFA: Make a stolen password useless. Turn on phishing resistant MFA and remove shared logins.
2 – Patch what faces the internet: Fix your VPN, firewall, and public servers first. That is where the exploits land.
3 – Know your attack surface: You cannot close a door you cannot see. Find every exposed system before an attacker does.
4 – Fast detection and response: Assume someone gets in. Catch the early moves and shut them down before files get locked.
5 – Tested backups – Keep copies attackers cannot reach, and practice restoring them.
6 – Supplier risk – Many attacks now ride in through an outside vendor. Put that door in the plan.
Every item is a door, a lock, or a guard. None of it is hype.
FAQs
Does AI make ransomware more dangerous?
A little, but not the way the headlines suggest. AI helps attackers write better phishing and move a bit faster. It does not create the opening. The way in is still a stolen password or an unpatched system.
What is the number one way ransomware gets in?
Known, avoidable weaknesses. Stolen credentials, unpatched internet-facing systems, and phishing lead the list every year. In the Sophos 2025 study, exploited vulnerabilities were the top root cause for the third year running, at 32% of attacks.
Should we budget to pay the ransom?
Plan not to. Paying is getting less reliable, and the cleanup is the real cost. Sophos estimates the average recovery bill, excluding any ransom, at $1.53 million in 2025. Money spent on prevention and backups goes further than money set aside to pay a criminal.
Where should a small team start?
Start with identity and your internet edge. Turn on strong MFA, remove shared accounts, and patch anything exposed to the internet. Those two moves close most of the common doors for the least money.
Does AI help defenders too?
Yes, and this is the better use of it. AI can find your exposed doors before attackers do, and it can speed up detection and response so defenders catch an intrusion early. Used this way, AI pays for itself on defense, not on fear
How Secure.com can help
Secure.com runs governed AI teammates that work above the stack you already own, with your team approving anything that matters. The idea is simple. Attack your own defenses to find the open doors, harden them, and prove the fix.
The Red Teammate acts like the attacker. It hunts for the exposed VPNs, weak spots, and exploitable flaws that ransomware crews use before they find them.
Defensive teammates turn those findings into action, so a weakness becomes a fixed door instead of another line on a report.
The SOC Teammate watches for the early signs of an intrusion and helps shut it down fast, with a full record of every step.
Everything runs inside your rules. Your team sets the scope, approves the big actions, and keeps the audit trail.
You start with one teammate, go live in days, and hand your team back hundreds of hours a month of grunt work.
Attack. Harden. Prove. Repeat.
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