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In the wake of the Salt Typhoon attacks that compromised most of the major telecommunications providers in the US, many in the upper echelons of power are pushing for offensive cyber operations against China.

The move would model a tit-for-tat strategy, in that China has struck the US, so the US should strike China, and vice-versa until they stop.

The difficulty with that strategy, as legendary threat intelligence analyst Marcus Hutchins explains, is that the US is woefully under regulated and underprepared for any escalation of cyber warfare with China.

No scope for cyber war

Despite China’s claims that Volt Typhoon is actually a CIA asset, there is fairly reliable evidence to suggest that all of the ‘typhoon’ groups are Chinese state-sponsored actors, and it was Salt Typhoon that breached the US telecommunications networks by targeting and exploiting systems put in place under the Communications Assistance for Law Enforcement Act, (or CALEA for short).

This act, introduced in 1994, saw all major communications networks have ‘backdoors’ installed to monitor the communications of criminals.

However, as John Ackerly, CEO and co-founder of Virtru told me, “It's the same doors that the good guys use, that the bad guys can walk through,” - and walk through they did.

Hutchins writes that while the US certainly has the capability to launch offensive cyber operations on China, and would likely see success, the US is not prepared for the retaliation-in-turn that would come next.

For example, US critical infrastructure is woefully underequipped to protect against cyber attacks and relies heavily on outdated tech that in some cases hasn’t received an update in over a decade.

China and its Typhoons have been mapping this infrastructure for years, probing the defences and checking responses and recovery plans with small scale attacks in preparation for a much bigger strike that could be used should a hot conflict erupt between the two super powers.

But equally, Hutchins argues, this large scale attack would be just as effective as a response to US cyber offensives in China, and it can’t be patched any time soon.

Thanks to a lack of federal regulations governing cybersecurity in the US, the private sector has been largely left to its own devices to protect itself from cyber attacks, and Hutchins duly notes that its often cheaper for a company to ignore a cyber intrusion than it is to chase them down and evict them from the network.

It's also cheaper to continue using outdated tech to run systems than to spend billions of dollars replacing everything and training your staff to operate new systems. Who could’ve guessed that the private sector wouldn’t regulate itself?

Now throw into the mix a smattering of federal bodies that, because they are modelled on the US separation of powers, must rely on each other to get anything done.

As Hutchins puts it, “Ultimately, cybersecurity in the United States feels like trying to put together a puzzle; except, there’s no picture on the box, each piece has been distributed to a random entity, half of the entities aren’t even willing to disclose that they have any puzzle pieces, and nobody is sure who’s actually supposed to be the one building the puzzle.”

What’s more, China’s own regulations for cybersecurity at both the state and private sector levels are fairly robust, and have been for many years more than the US can hope to catch up to.

Convincing an administration to establish a body with complete cyber-regulatory oversight in the age of DOGE is one thing, convincing the private sector to spend the ever increasing billions to give their networks even a fighting chance at being resilient is another.

"Personally, I think that trying to deter China through offensive cyber operations would not only be unsuccessful, but also a huge mistake," Hutchins concludes. "I am not arguing that the US should bow down to China, or that it should not be able to defend itself, only that increasing offense[ive] cyber operations without the defencive capabilities to back them up, is a horrible idea.”

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• GL.iNet Slate 7 dual external antennas boost range for stable & extended coverage
• Quad-core 1.1GHz CPU with 1GB RAM ensures smooth operation
• USB-C power supports up to 12V/2.5A for efficiency

GL.iNet has introduced the Slate 7 (GL-BE3600), the first mobile Wi-Fi 7 router, offering high-speed wireless and wired networking for demanding applications like 4K and 8K streaming and video conferencing software.

The Slate 7 delivers Wi-Fi 7 speeds of up to 688 Mbps on the 2.4 GHz band and 2882 Mbps on the 5 GHz band, providing stable, high-speed performance even in crowded areas

The Slate 7 features a Qualcomm quad-core CPU running at 1.1GHz with 1GB of DDR4 RAM and 512MB of NAND Flash storage, while the two foldable external antennas enhance signal coverage, making it one of the best small business routers for both mobility and home networking

Powerful wired connectivity and flexible power options

Weighing 295g, this mobile router includes a 2.5Gbps WAN port and a 1Gbps LAN port for stable wired performance in bandwidth-intensive tasks while also featuring a USB 3.0 port for connecting external storage or a modem to expand its functionality.

With its dual Ethernet ports, the Slate 7 can also function as a best network switch solution for users needing reliable wired connections alongside its advanced wireless capabilities.

This device supports OpenVPN at up to 100 Mbps and WireGuard at up to 540 Mbps, offering secure and fast connections for remote work or private browsing while integrating compatibility with over 30 VPN services for extensive security options.

It also features an interactive touchscreen for managing settings, toggling VPN connections, and monitoring real-time network performance.

The device is powered through a USB-C port, supporting inputs of 5V/3A, 9V/3A, and 12V/2.5A, and is compatible with multiple power sources, including laptops, power banks, or smartphones, while maintaining power consumption under 18W (excluding USB usage) for efficiency even under heavy workloads.

The Slate 7 supports the installation of plugins via OpenWrt 23.05 with Kernel 5.4.213 for enhanced network management, including traffic monitoring and firewall customization.

It also features WPA3 encryption for protection against cyber threats and operates at temperatures between 0–40°C, with storage capability from -20°C to 70°C.

The Slate 7 is available for pre-order at $120, with the standard retail price set at $149.90, and the earliest deliveries expected in May 2025.

Via TechPowerUp

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Hints and answers for the NYT Connections: Sports Edition puzzle, No. 191, for April 2.

Hints and answers for Connections for April 2, #661.

Here are hints and the answer for today's Wordle No. 1,383 for April 2.

• Apple's ushered in a new continuity feature with iOS 18.4 and macOS Sequoia 15.4
• You can now use an iPhone or iPad to help set up your Mac
• While relatively small, this could be a huge time-saver

Part of what makes the Apple ecosystem so good – and appealing to newcomers or folks just buying new devices – is the continuity between them, even including set-up. For instance, to set up an Apple Watch or AirPods, just hold the device near your iPhone.

Setting up an iPad? Hold it near your iPhone, follow the steps, and scan the glowing blue orb. Setting up a new iPhone? Hold it near your old iPhone. This takes a lot of the manual nature out of a new device setup and even helps authenticate your account.

While iOS 18.4, iPadOS 18.4, and macOS Sequoia 15.4 didn’t bring with them the next major set of Apple Intelligence features, they did bring with them something awesome. And if you are getting a new Mac, planning to get one, or frequently reset your old ones, you’re in for a treat.

As long as you’re up to date – meaning your Mac has the latest version of Sequoia and your iPhone or iPad is running iOS or iPadOS 18.4, you can now set up that new Mac with your other Apple device. Really neat, and it could save you time. As with the speedy setup, you’ll need Wi-Fi and Bluetooth enabled for these two devices to connect.

So, what does this quick setup speed up? All-important Wi-Fi credentials, design choices like dark mode or icon size, accessibility features, and more are included. Plus, since you’re authenticating and signing in with your Apple Account (formerly Apple ID), you can elect to turn on iCloud features like a shared desktop, your photo library, Messages in the Cloud, your long list of passwords, notes, and other items.

How setting up your Mac with an iPhone or iPad works

(Image credit: Apple)

Now, the good news is that this whole process really speeds up the setup process for your Mac – and that goes for whether it’s a desktop, like the Mac mini, Mac Studio, or iMac, or a laptop, like the MacBook Air or MacBook Pro.

You’ll still boot up the Mac and select your language, but then, under the familiar screen that asks “Transfer Your Data to this Mac,” you’ll find a new option:

• From a Mac, Time Machine, or startup disk
• From a Windows PC
• Set up with iPhone or iPad
• Set up as new

(Image credit: Apple)

That third option – Set up with iPhone or iPad – is what you’ll need to select to do just that. From there, your Mac will then start looking for a nearby device, and you’ll want to unlock your iPhone or iPad and bring it close by.

Then just like when setting up a new iPhone or an iPad, a splash screen will appear on the bottom asking if you want to use your Apple Account to “Set Up New Mac.” Simply hit continue and then you’ll scan a pattern displayed on your Mac with your iPhone. That’s the final step for authentication here.

After that, you’ll be asked if you want to enable any accessibility settings and then create your Mac account. The last step is a bit of a waiting game as your Apple Account syncs up with your Mac, and then you can wrap up the setup.

(Image credit: Apple)

Basically, you’re speeding through the authentication process and getting some of the previously customized settings associated with your new Mac.

It’s nice to have, and if you’ve ever dreaded setting up your new Mac, you might question how you’ve lived without it.

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• Ayaneo Retro Mini PC AM01S features a 4-inch touchscreen with a 0-90° flip mechanism
• Magnetically attached port covers create a clean and adaptable workstation
• Dual-fan cooling system ensures optimal performance without overheating or throttling

There are plenty of mini PCs on the market, but few feature a 4-inch touchscreen on a hinge, magnetically attached port covers, and a 0-90° flip mechanism that allows them to operate both flat and upright like the Ayaneo Retro Mini PC AM01S.

Unlike many compact systems that rely solely on external monitors, the Ayaneo Retro Mini PC’s flip-up screen functions as a native Windows extended display, similar to the Aoostar G-Flip 370 and the G-Flip mini, providing quick access to performance monitoring, applications, and widgets.

The magnetically attached port covers hide unused ports while keeping them accessible, creating a clean and adaptable workstation.

Dual-fan cooling with heat pipes and SSD fan for optimal performance

This business PC features the AMD Ryzen AI 9 HX 370 processor, a 12-core, 24-thread chip that enhances efficiency and speed while offering storage options, including DDR5 5600MT/s RAM, M.2 PCIe 4.0 SSD slots, and an SDXC card reader.

It also comes with an integrated Radeon 890M GPU, built on RDNA 3.5 architecture with 16 compute units, delivering 20% better performance for smooth 1080p gaming and demanding creative workloads.

To support its performance, the AM01S uses a dual-fan cooling system with heat pipes and a dedicated SSD fan, ensuring it sustains its 65W power output without overheating.

For AI-driven tasks, the AYANEO Retro Mini PC AM01S benefits from the NPU delivering 50 TOPS, providing three times faster responses for large language models.

This device uses a CNC-machined aluminum frame for durability, while its connectivity options include dual 2.5G Ethernet ports and a full-speed USB4 connection, catering to professionals who need high-speed networking and ample storage.

At press time, there's no official confirmations for a price or release date.

Via Ayaneo

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• Google’s Chrome installer for PCs with AMD and Intel CPUs has been broken for the past week
• Detective work suggests that the version for these PCs was accidentally replaced by the Arm installer, which is for very different Snapdragon CPUs
• While the issue has now been fixed, Google took a long time to resolve it

Those trying to install the Chrome browser in Windows 11 or 10 over the course of the past week may well have been flummoxed by an error telling them the app won’t run on their PC – and I can’t quite believe how long it’s taken Google to fix this.

Nonetheless, the good news is that the glitch is fixed, even if it took the company way longer than it should have.

The problem, in case you missed it, was flagged on Reddit and by Windows Latest a week ago.

What happened was that on firing up the Chrome Installer file (ChromeSetup.exe, download from Google’s website), people watched the process come to a screeching halt, with an error message that read: “This app can’t run on your PC: To find a version for your PC, check with the software publisher.”

As to the cause, Windows Latest did some detective work, and theorized that what Google had done here – somehow – was accidentally swap the Arm installer of Chrome with the x86 installer. Meaning that the version of Chrome for Copilot+ PCs with Snapdragon (Arm-based) processors got swapped with the version for AMD or Intel CPUs.

That conclusion was based on digging into the setup file and finding references to ‘Arm’ which surely wouldn’t be there with a non-Arm executable. Furthermore, 9 to 5 Google backs up this theory, as the tech site tried the faulty version of Chrome on a Snapdragon PC, and found it worked fine (as it would do if it was the Arm installer).

9 to 5 Google was also on the ball in terms of noticing that the issue is finally cured, and you can now download the Chrome installer on a Windows PC with an AMD or Intel CPU, and it’ll work just as you’d expect.

(Image credit: Shutterstock / Khosro) Analysis: A bafflingly basic mistake with only one winner (Edge)

Okay, so mistakes can be made. Indeed, they happen all the time in the tech world, or elsewhere for that matter. But for such a basic glitch to be left in place to annoy a bunch of Windows users for the best part of a week is baffling – especially while reports were flying around about the problem.

I can’t imagine this was something that was particularly difficult to resolve, either, as it looks like a simple mix up of files, as noted (unless there’s something I’m missing here). Apparently, the Arm version of Google Chrome wasn’t affected, and the installer still worked for those with a Snapdragon-powered machine.

This could have cost Google some Chrome users potentially, who might have got fed up with the browser failing to install, and maybe even plumped for Microsoft Edge, its main rival, instead. (Incidentally, Edge is the best overall web browser as far as our roundup of the most compelling offerings out there is concerned).

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• Physical reservoir computing is a muscle-powered Matrix-like concept
• Human tissue’s nonlinear behavior could support real-world data processing
• New study imagines biology and machines merging into hybrid computers

In a study that blends biology and computing, a researcher from the Graduate School of Engineering Science at Osaka University has come up with a concept exploring how human muscles could be used as part of a computational system, processing data and solving problems.

If the idea sounds like something out of The Matrix, that’s not far off. The study hints at a future where the human body becomes a part of the computing environment, blurring the line between man and machine.

In a paper published on IEEE Xplore, Yo Kobayashi shares his research based on reservoir computing, a computational framework that uses a fixed, non-linear system (the "reservoir") to process time-based data, with only the output layer requiring training. It relies on the natural properties of physical systems to perform complex tasks and Kobayashi's research suggests human soft tissue could be used to process information.

(Image credit: Osaka University) A different kind of machine

Instead of building a digital model, Yo Kobayashi looked at how real muscles respond under strain, using ultrasound to track wrist movements in volunteers.

These recordings showed how muscle tissue deforms and returns to its original shape, offering a pattern that could be read as data.

"An ideal reservoir possesses both complexity and memory," explains Kobayashi in an article on Tech Xplore. "Since the mechanical responses of soft tissue inherently demonstrate stress–strain nonlinearity and viscoelasticity, muscular tissue easily satisfies these criteria."

The system was tested on tasks typically used to benchmark machine learning models. It was able to predict outcomes in nonlinear dynamic systems, showing stronger performance than models that don’t consider internal tissue behavior.

"One potential application area of this technology is wearable devices," says Kobayashi. "In the future, it may be possible to use our own tissue as a convenient computational resource. Since soft tissue is present throughout the body, a wearable device could delegate calculations to the tissue, enhancing performance."

The research is still in its early stages. “There are comparatively few studies that use living organisms as reservoirs, and until now, none that use in vivo human tissue,” Kobayashi says.

It's a fascinating concept, and one that opens the door to a future where computing runs not just on silicon, but on people power.

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2025 may not be the year of the foldable phone, but if Apple finally enters the space in 2026, we could be in for a big turnaround.

That's the latest message from analysts at Counterpoint Research, who explained that 2024 was a year of almost imperceptible foldable growth and, probably more worrisome, 2025 will be down slightly.

Counterpoint Research has been ringing this bell since late last year when it produced a similar report. Now, almost five months into the year, they see no signs that 2025 will even meet 2024's flat sales numbers. It's likely a frustrating turn of events for Samsung, Google, Oppo, Huawei, and Motorola, all of which are now deeply invested in the category.

Overall, foldable phones have never accounted for more than 2% of the entire smartphone market. One factor that might be holding back the foldable market is price. Some of the best folding phones cost double that of a standard flagship.

Many of these companies have yet to make a compelling use case for folding phones, aside from "Do you want to have a tiny tablet in your pocket that doesn't take up more space than a standard phone?" [Author's Note: Yes. Yes, I do]

Motorola Razr 50 Ultra (Image credit: Blue Pixl Media)

While consumers remain uninspired, tech companies appear no less invested in the category. Honor and Oppo's recent entries are helping to grow the folding phones' tiny smartphone category market share, but mostly outside the US.

Folding phones won't disappear from our digital landscape. In fact, Counterpoint Research indicates that the market is preparing for a resurgence.

"It is definitely not a sign of the market peaking; rather it is a sign of regrouping before 2026, which is expected to be exciting and rejuvenating for the segment with the entry of Apple and a slew of clamshells,” wrote Counterpoint Senior Analyst Jene Park.

Most rumors now point to Apple entering the foldables market in 2026, which is a lynchpin of this resurgence.

It's a familiar story.

Apple CEO Tim Cook posing for a selfie while someone else wears a Vision Pro (Image credit: Apple)

Apple's product category playbook is usually one where it watches other players flounder around with oddball and subpar entrants. Then it swoops in with something beautiful and seemingly obvious, a product that captivates consumers and media alike.

It happened with MP3 players around the turn of the century (iPod) and later with screen-focused smartphones (iPhone) and then tablets (iPad). In each case, Apple was by no means the first, but it quickly became the best and most desirable.

Foldables are somewhat different, though, because while the market is stagnant, the products are generally considered excellent. Sure, Samsung, Google, and others have done themselves no favors by not always putting the absolute best cameras and technology in every folding handset. Even so, these are otherwise excellent and versatile devices.

Google Pixel 9 Pro Fold in Porcelain (Image credit: Philip Berne / Future)

I've tested the Samsung Galaxy Z Fold 6 and the Google Pixel 9 Pro Fold, and I love each of them. They're well-built, thin, comparatively light, powerful, full of AI, and generally fun to use as phones and as tiny tablets.

Yes, they can be prohibitively expensive, but you know that prices will eventually tumble.

Apple's entry, though, will prove to be a game changer. I bet even Samsung, Google, and others are desperate for them to enter the fray and reinvigorate the market. Counterpoint Research believes that a 2026 iPhone Fold will quickly eat a sizable chunk of the tiny folding phone market, but also instantly enlarge it.

I tend to agree with them. When I ran an anecdotal poll on X asking who consumers might buy a smartphone from, Apple led the field with Samsung, which has been in the space longer than any other company, a close second.

Would you buy a folding phone fromApril 1, 2025

Most rumors assume that while Apple will bring a lot of cutting-edge features like a liquid metal hinge and an extremely thin chassis likely borrowed from the rumored iPhone 17 Air, it won't be lowering the bar on price. Most think the iPhone Fold could be in the $2,000 range.

That's a lot, not Vision Pro a lot, but it'll mean that a simple iPhone 16 Pro trade-in won't be enough to defray most of the costs. You'll have a high monthly payment for the pleasure of owning Apple's first foldable, and still, I think people will gladly pay that much for an iPhone Fold.

There is a chance that Apple could go with a slightly different design direction with its iPhone Fold, and instead of chasing the Z Fold 6 and other folding tablets, it could deliver a true clamshell.

Folded, the iPhone Fold X would be the size of a Z Flip 6 (but thinner). Unfolded, it would be the size of an ultra-thin iPhone 16 – so the thinness of an iPhone 17 Air, but the pocketable screen size of a 6.1-inch iPhone 16.

That would be appealing on two fronts: a more portable form factor and likely a much more attractive price.

For now, it's a waiting game. Apple hasn't hinted at its folding plans, and there are no indications of a surprise flexible phone unveiling in September. But WWDC 2025, Apple's upcoming developers' conference, is just weeks away, and it could be the perfect platform to tease those plans.

Such a move could either turn around foldable's 2025 fortunes or further depress them as more potential foldable customers decide to hold off until Apple finally ships the iPhone Fold.

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• Fake receipts are now easy to generate with ChatGPT
• They're convincing and additional tweaking makes them look very real
• OpenAI says metadata and usage policies will protect us

Generative AI appears to be fixing one of the most obvious problems with AI-generated imagery: the text. And while that's welcome news for anyone fed up with seeing images containing absolute gibberish, it may have unintended consequences too – it turns out that ChatGPT is now pretty good at creating fake receipts.

The fakes aren't completely convincing if you know what to look for: they're a little too clean, a little too CGI, and sometimes get the sums wrong (like in our example above). But they're also easy to miss – and with a bit of fiddling you can make them look more realistic with creases and food stains.

For now, it seems that the most effective way of doing this is to get ChatGPT to recreate an existing receipt, which can then be changed to show whatever prices you'd like.

OpenAI says it isn't too worried, but it does appear to be an effective new tool for digital fraudsters and troublemakers.

Why OpenAI is okay with the fakes, for now

You can use 4o to generate fake receipts.There are too many real world verification flows that rely on “real images” as proof. That era is over. pic.twitter.com/9FORS1PWsbMarch 29, 2025

We reached out to OpenAI and a spokesperson told us it's keeping an eye on trends like AI-generated receipts. "We monitor image generations on and off our platform, use internal tools to verify they were created by our products, and take action when we identify violations of our usage policies," they told us.

"We're always learning from real-world use and feedback, and we'll continue refining our policies to balance creative freedom with preventing misuse. All images include industry-standard C2PA metadata indicating they were AI-generated by OpenAI," the OpenAI spokesperson added.

However, OpenAI spokesperson Taya Christianson went a little further, telling TechCrunch that there was a positive potential use for fake receipts: "teaching people about financial literacy" in non-fraudulent situations.

I can also imagine using it for illustrating articles, or for creating props for real or virtual staging. But fake receipts can also be used for fraud, and the more convincing the images, the more fraud they're likely to facilitate.

Those 'made by ChatGPT' metadata safeguards are fine, but exporting an image without metadata is a one-click job. I'm not sure those safeguards will do the slightest thing to stop fake images being used for fraud any more than social media "be nice" policies have stopped people from being awful on the internet.

But I have to admit, it'd be very funny if OpenAI's own employees started using the tech to inflate their expense claims.

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• Mullvad VPN has rolled out an upgrade to its feature that protects against AI tracking
• The second version of Defense Against AI-guided Traffic (DAITA) is now available for all VPN apps
• Mullvad released DAITA in May 2024 as "the first step" in the battle against sophisticated traffic analysis

Mullvad VPN has just unveiled a considerable upgrade to its protections against AI surveillance.

The second version of its Defense Against AI-guided Traffic (DIATA) is now available for all VPN apps, bringing two major improvements that "make it harder for attackers targeting DAITA."

One of the best VPN providers for privacy-conscious users, Mullvad released DAITA in May 2024 as "the first step" in the battle against sophisticated traffic analysis powered by new generative AI software.

DAITA 2.0

Built entirely on an open-source framework, DAITA modifies the appearance of data packets sent over the VPN network to prevent snoopers from tracing activity back to you.

It does so by making all data packets the same size, adding random background traffic, and distorting patterns.

According to Jan Jonsson, CEO of Mullvad VPN, this capability is critical, as AI can be used to analyze traffic patterns. In simpler terms, this means your activities may be linked to you without the need to break the encryption offered by the virtual private network (VPN).

"AI will be used both to collect data about people and to analyze that data. That’s why we developed DAITA, to counteract this right at the point of the data collection," Jonsson told me back in October.

On March 28, 2025, however, Mullvad released the second version of DAITA across all its platforms to reduce attacks against the feature itself.

DAITA version 2 now available on all platforms: https://t.co/B77nm95UHkMarch 28, 2025

As per Mullvad's own words, "DAITA version 2 brings two major improvements: a large reduction in overhead traffic and dynamic configurations that vary VPN tunnel characteristics between connections."

The first improvement refines one of the covert practices DAITA employs to confuse AI tracking – the addition of dummy packets to distort network patterns.

DAITA 2.0 now inserts half the amount of these packets but promises to deliver the same level of defense. "As a customer using DAITA, the immediate benefit is improved speed," says the provider.

In the new version, two VPN clients visiting the same webpage will now produce different in-tunnel data streams, too, to make it harder for attackers to circumvent DAITA protections. A new configuration is also selected every time a device recreates its VPN connection.

If you want more technical details on how DAITA works, I suggest reading this post by Karlstad University's cybersecurity researchers on the matter.

Mullvad's commitment to protecting your data against AI surveillance doesn't stop there, either. The team is already working on a new version of DAITA.

"DAITA version 3 is already on the roadmap and will introduce a new type of defense alongside the existing ones. Watch this space for more updates as we advance the state of accessible and performant network traffic defense."

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