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iOS 27 beta code references an iPhone with two batteries, adding another software clue to Apple’s rumored foldable iPhone and repair plans.

The post iOS 27 Code Points to Rumored iPhone Ultra With Dual Batteries appeared first on TechRepublic.

The attacks overshadowed diplomatic efforts in Pakistan, one of the conflict's mediators, where a senior Iranian official held talks potentially aimed at reviving a collapsed ceasefire between the United States and Iran.

(Image credit: Atta Kenare)

• The Jura E10 is a new premium espresso machine from the Swiss brand
• It offers hot and cold brewing, syrup-infused foam, and Light Brew mode
• It's available now for £1,425 (about $1,910 / AU$2,720)

Jura, known for its luxury espresso machines, has just launched a new coffee maker that packs a staggering array of advanced brewing features into a surprisingly compact package. The new Jura E10 offers hot and cold brewing, syrup-infusion for flavored drinks, and a new timer that means the machine can start brewing when you wake so your favorite coffee is ready and waiting the moment you wake up.

The feature set sounds very similar to that of the Jura J10 I tested last year, which is still one of the most advanced coffee makers I've ever used. It poured a perfectly-extracted espresso, and its cold-brewed espresso was mellow and flavorful.

Its milk system was excellent as well, whether using hot or cold milk, but what impressed me most was the Sweetfoam system that mixes the syrup of your choice into the milk as it's dispensed.

Flavored coffees are usually made by pumping syrup into the cup before adding coffee and milk, which means the flavor is concentrated at the bottom. With Sweetfoam, the syrup is evenly distributed throughout the whole drink, which means you get the full flavor with every sip, and only need to use a very small quantity. You can use regular or sugar-free syrup, and during my tests I found it had the added benefit of stabilizing the milk foam so it lasts and lasts.

Perfect for small kitchens

Like the J10, the new E10 offers a huge menu of hot and cold drinks, but now they're organized into a color-coded menu that makes it easier to find the one you want.

These options now include Light Brew — a new feature not available in the J10 — which uses a smaller dose of coffee and a lower brewing temperature to prepare a drink with a less intense flavor that's ready to enjoy straight away.

The coffee-timing feature means the machine will start brewing your coffee automatically exactly when you want it to — a feature you'd normally only see on drip coffee machines. However, it's worth noting that this is only available if you also pick up the Jura Wi-Fi Connect V2 module, which adds wireless connectivity to your coffee machine and costs an additional £49.95 (about $70 / AU$100).

All of these brewing functions are packed into a surprisingly slim package that will slot more easily into small kitchens:

Dimension

Jura J10

Jura E10

Width

12.5 inches / 31.8 cm

10.6 inches / 27 cm

Height

13.7 inches / 34.8 cm

13.7 inches / 34.8 cm

Depth

17.6 inches / 44.6 cm

17.6 inches / 44.6 cm

The Jura E10 is available now direct from Jura and a handful of third-party stores for £1,425 (about $1,910 / AU$2,720). It's currently only sold in Europe, but the rest of the E range is available in the US, so I'm expecting it to launch there in the coming months.

Quantum computing has fascinated the tech world for several decades. That’s because, while classical computing is binary, quantum bits (qubits), made from atoms, electrons and superconductors, can be in both “0” and “1” at the same time, providing computational power that is inaccessible to classical computers.

The implications of this computational power will be far-reaching, such as accelerating drug discovery, optimizing global supply chains, and revolutionizing material science for clean energy. If that’s not interesting enough, the new frontier of hybridizing quantum and classical computing generates yet another source of excitement for the field.

Humanity has embedded computing into the fundamental fabric of daily life. It underpins our progress in an enormous number of fields, as well as impacts our day-to-day lives more than almost anything else.

While quantum computers are fascinating on their own, it is becoming increasingly clear that their integration into data centers - treating them as a crucial piece of the broader computing puzzle - represents one of the most interesting frontiers in science and technology today.

Hybrid computing: already a reality and key in the future

The idea that quantum and classical computing will work together is not a future vision. Quantum computers already rely on tight integration with classical computing, which plays a critical role in enabling their operation.

For example, extensive classical computing is used for generating the control signals that operate the quantum hardware and to calibrate quantum hardware and control systems. In this scenario, classical computers are finding thousands of different system parameters and retuning them constantly as they drift over time.

Very compute-intensive classical algorithms are also used for decoding errors during quantum error correction, which is critical for enabling stable quantum computation and the scaling of quantum systems. Another key use case is that hybrid quantum-classical algorithms rely on interleaving quantum and classical computation to solve complex problems.

In the future, this hybridization will have a growing impact on computing applications. QPUs will act as specialized accelerators within classical HPC and AI workflows, complementing CPUs and GPUs rather than replacing them. Quantum systems will sit alongside CPUs and GPUs in data centers and be deployed for exactly the type of problems they are best suited to solve.

In fact, this is already starting to happen - some of the most important recent quantum demonstrations have relied on quantum and classical systems operating in close coordination. For example, RIKEN and IBM scientists recently achieved one of the largest quantum simulations of iron-sulfur clusters through closed-loop data exchange between a co-located IBM Quantum Heron processor and RIKEN's Fugaku supercomputer.

This kind of hybrid exchange between quantum and classical systems, rather than quantum computing operating as an isolated, standalone resource, is the model we expect to become standard as the technology matures.

The final, and perhaps most intriguing frontier in quantum-classical hybridization is its relationship to Artificial Intelligence. Compute infrastructure is being used to train AI models, while hardware capabilities limit what models can do in various ways. Integrating quantum hardware into this compute fabric may allow new data to be generated for AI models as well as new engines for AI inference.

Moreover, AI tools may help us break some of the abstraction layers we have created, which can remove further limitations on how we use quantum hardware to solve problems.

Quantum computers don't run themselves

Given the above, as quantum computing moves from laboratory demonstrations toward practical applications, success will depend not only on better quantum processors but on how effectively quantum and classical computing work together.

The latency and bandwidth of the quantum-classical links will play a critical role in how performant this integration is and will determine how deeply connected the quantum and classical processing can become. This matters because qubits hold their state only briefly - the faster the classical system can read, process and respond, the more complex a calculation it can support before that state is lost.

Another critical aspect is software. Building infrastructure, tools, compilers and applications that orchestrate hybrid quantum-classical workflows efficiently, with high performance as well as developer experience in mind, will be critical for the industry to succeed in its mission to deliver real-world value in a timely manner.

This requires investment in the orchestration layers that allow developers to calibrate and control quantum resources as easily as they would HPC today, abstracting away much of the underlying hardware complexity.

The next phase of quantum computing will depend on bringing together advances in physics, engineering and computer science to cross the barrier from lab prototypes to useful computers.

There are many challenges ahead, from scaling the hardware and performing error correction at scale to finding the right applications to push for. The clear message is that hybrid quantum-classical systems are not a temporary stage in this journey. They are the foundation on which practical quantum computing will be built.

Enterprises and IT leaders exploring quantum shouldn’t focus on the number of qubits, but on how systems integrate with classical infrastructure. When it comes to scaling useful quantum computing and implementing hybrid computing, the control systems, error correction and software orchestration will determine whether a system can deliver reliable performance and repeatable results.

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Trump administration AI testing chief Chris Fall resigned after just 90 days, leaving CAISI under interim leadership during a critical period for AI safety standards.

The post Trump’s AI Safety Chief Is Out — After Just 90 Days on the Job appeared first on TechRepublic.

• TikTok is releasing a new tool to help users identify AI spam
• It says that AI spam “crowds out original creators”
• Industry insider suspects that ad revenue may be the real motivator

If you're getting tired of AI slop on social media, you're not alone. Even TikTok, which has spent the last couple of years rolling out AI creation tools, is now testing new ways to detect AI-generated spam and teaching users how to recognize AI content.

TikTok says it is testing improved detection systems to target accounts dedicated to posting AI-generated spam that “crowds out original creators”, and it is also creating a new guide that helps its users use AI tools responsibly. TikTok is launching a new in-app hub within the next few weeks where you can learn practical skills for spotting AI-generated content when you search for AI-related terms.

(Image credit: Future)Is it really a moral stance?

We spoke to Donatas Smailys — CEO of Billo, the largest UGC creator marketing platform in the US — about the new tool. His take is that TikTok is fighting AI content because it doesn't perform, and that hurts TikTok's ad business too.

"It would be naïve to read this as TikTok taking a moral stance. The platforms can see in their own data what audiences respond to, and they're quietly rebuilding their rules around real people.”

It strikes me as slightly ironic that TikTok, which has spent the last couple of years pushing AI creation tools, is now simultaneously educating people to recognize AI content and testing systems to suppress AI spam.

If TikTok's own data suggests AI-generated spam is harming engagement or advertising performance, then it may be the saving grace for the rest of us who are tired of AI slop ruining the experience of social media. Frankly, at this point I’ll take anything that reduces the amount of AI videos that get served to me, for whatever reason.

What this means for the future

The wider issue here is that if TikTok is beginning to treat low-quality AI spam as a platform problem, then it should raise some red flags for advertisers who heavily rely on synthetic influencers and AI creators. If low-quality AI spam was improving the platform, TikTok would have little incentive to invest in detecting and suppressing it.

TikTok actually has pretty stringent rules on AI content on its platform already. It’s quite common to see the label “Contains AI-generated content” on TikTok videos.

It seems that regulators are moving in the same direction. “New York now requires disclosure of synthetic performers in ads”, says Smailys “with penalties for those who don't comply. And my guess is that more states will follow. But the loss of trust is an even bigger risk here. Once your audience feels tricked, no disclosure label wins them back."

While the rise of AI slop seems unstoppable at the moment, I wonder whether we'll eventually look back at 2026 as the year platforms realized that flooding people's feeds with AI-generated content wasn't sustainable and that what users really wanted all along was more real people.

Samsung's second big phone launch of the year is almost here — and while the leaks have given us lots of hints, we're here to untangle all of the official news on the its new foldables and smartwatches. And who knows, maybe Samsung will have a surprise in store too.

According to the rumors, it's going to be a particularly big day for foldables. We're expecting to see the Samsung Galaxy Z Fold 8, Galaxy Z Flip 8, , and Galaxy Z Fold 8 Ultra all make their debuts — and the Z Fold 8 could also be a sneak peak of what to expect from the incoming iPhone Ultra.

But if you've been waiting for a sequel to the Samsung Galaxy Watch Ultra or Galaxy Watch 8, it'll worth tuning in for those too. Both are expected to get successors today, when the event kicks off at 9am ET / 6am PT / 2pm BST / 11pm AEST on July 22.

So if you want to see what Samsung has in store today, join us for all of our live reactions and first impressions from inside the London event...

Welcome to Galaxy Unpacked 2026 (the sequel)

Hello, and welcome to our liveblog for Samsung's second big phone launch of the year, Galaxy Unpacked 2026.

We'll be reporting live from the London event, which kicks off at 9am ET / 6am PT / 2pm BST / 11pm AEST. But first, it's time to take you through all of the last-minute rumors on what we're expecting to see — and we certainly haven't been short of leaks...

The Z Fold 8 is winning the hype battle

Hey guys, let's guess what he's holding? pic.twitter.com/H9jwX1OCPtJuly 21, 2026

The Galazy Z Fold 8 is emerging as the potential star of today's Unpacked event — and the foldable has just appeared in a new teaser poster (above).

It's the Z Fold 8's wider, passport-style design, which will likely separate it from the taller Fold 8 Ultra, that makes it the one I'm most interested in from today's launches. Partly because it also probably gives us an early peak of the iPhone Ultra's likely form factor.

We're expecting to see a 5.5-inch cover display and 7.6-inch inner display, both with a 120Hz refresh rate. The teaser poster matches some of the leaked dummy units that we saw earlier this year (below).

First look at dummy units of the Samsung Galaxy Z Fold8, Z Fold8 Wide, and Z Flip8. The Fold8 Wide lines up closely with the expected size of the iPhone Fold. pic.twitter.com/NVP3agwsrMApril 27, 2026

What are you most excited to see?

We've done a full rundown of everything we're expecting to see at Unpacked 2026, so that's worth a read as we get closer to kick-off (in just over two hours).

But the short version is that we're expecting three foldables (a Z Fold 8, Z Fold 8 Ultra and Z Flip 8), plus two Galaxy Watches (the Watch Ultra 2 and Watch 9), and (potentially) also Samsung's first smart glasses.

Which one are you most excited about? Let us know in the poll below...

We've landed at UnpackedFutureFuture

We're very keen here at TechRadar, so we've already arrived at the Galaxy Unpacked event in London, and it's very... quiet.

That's understandable, as we're still two hours away from kick-off and many international attendees will be coming from hotels much closer to the start time.

A London-based Unpacked is a rarity — last year, Samsung did a mix of US-based and virtual events, while this year's earlier Unpacked in February was in San Francisco.

You have to go back to 2012 for the last time London hosted Samsung's main event, which saw the arrival of the Galaxy S III...

FutureFutureWill Samsung finally solve foldable creases?

pic.twitter.com/Ck4rIXaXxAJuly 22, 2026

There's a good chance that we'll see another big step towards crease-free foldables today. We recently visited Samsung Display's secret labs where it talked to us, among many other things, about its new "Flex Titanium Technology".

This includes a special structure at the fold to give added flexibility and help reduce crease visibility. We've recently more leaks on that theme — and while the image above doesn't look like a particularly fair comparison in terms of lighting, I'm hoping this new feature lives up to the hyper when we see it in person later.

If you host an event in London...

(Image credit: Future)

The umbrellas are already out at the Galaxy Unpacked 2026 queue. We've had what feels like months without rain in London, but right on queue the dark clouds are forming.

It's now just over 90 minutes till kick-off time, so hopefully we'll be ushered inside soon...

Brace yourself for price hikes

(Image credit: Future)

Some slightly less positive news from today's Galaxy Unpacked 2026 event is likely to be price hikes for the Z Fold 8 and Z Flip 8.

A recent report from Korea (via Phone Arena) suggested that both foldables could be about $130 pricier than their predecessors. In the grand scheme of RAMageddon, that wouldn't be too bad — and the Fold and Flip series have never been the most affordable phones anyway.

Samsung has also already increased the prices of the Z Fold and Flip 7 series over the past year, so hopefully that will soften today's potential price rises...

A self-healing crease?

Exclusive!Galaxy Z Fold8 series creases are self-healing.July 22, 2026

Samsung's upcoming foldables might not just have smaller creases than their predecessors, they could also have self-healing ones if the latest leak (above) is to be believed.

It's unclear how this would work, but perhaps it would ensure the crease doesn't become more visible over time. It also reminds us of the self-healing finish on the LG G Flex series, which could automatically fill in minor scratches.

It will be interesting to see how Samsung's take on this works, but if this leak is accurate then it could be Samsung's secret weapon against the upcoming foldable iPhone Ultra.

All the specs have already leaked

The Samsung Galaxy Z Fold 7 (Image credit: Lance Ulanoff / Future)

Samsung might not have too many surprises today if you've been following the leaks and rumors, as WinFuture.de recently leaked complete specs lists for the Samsung Galaxy Z Fold 8, Z Fold 8 Ultra, and Z Flip 8.

Highlights if this leak is accurate include a Snapdragon 8 Elite Gen 5 chipset for the two Z Folds and — at least in Europe — an Exynos 2600 for the Galaxy Z Flip 8.

We'll also apparently get a higher-capacity and faster charging 5,000mAh / 45W battery in the Z Fold 8 Ultra, but the real highlight could be the base Z Fold 8, since this is widely expected to have a new shorter, wider form factor, which according to this leak will allow for a 7.6-inch foldable screen and a 5.5-inch cover display.

The Galaxy Watch Ultra 2 might live up to its name

The Samsung Galaxy Watch Ultra (Image credit: Future)

We're also expecting various wearables today, and WinFuture has spilled the beans on the Samsung Galaxy Watch 9 and Samsung Galaxy Watch Ultra 2 in a detailed leak.

The latter could have a slightly larger and much brighter display than its predecessor, coming in at 1.52 inches and 5,000 nits, and joined by a colossal — by smartwatch standards — 800mAh battery, along with a build that's designed with divers in mind.

This is sure to be expensive, but the standard Samsung Galaxy Watch 9 should be a cheaper option for anyone who doesn't need all the bells and whistles offered by the Ultra. Sadly though we're not expecting a new Classic model this year.

Samsung's first smart glasses sound like Ray-Ban Meta rivals

Ray-Ban Meta glasses (Image credit: Future)

Samsung could be about to make smart glasses more mainstream, as its first pair is rumored to be included in today's announcements, and the Samsung Galaxy Glasses as we're calling them for now have been extensively leaked.

A detailed new leak on WinFuture tallies with what we've heard before, including that these apparently won't have a screen, and will instead rely on cameras and access to Gemini, which should be able to see what you can.

They sound a lot like the Ray-Ban Meta glasses, and like those they apparently use a Snapdragon AR1 Gen 1 chipset, which is now three years old. Still, with supposedly 9 hours of battery life, Gemini access, and a big brand name behind them, they could be a hit.

These last-minute leaks are looking quite official

The official promotional materials for the Fold 8 series have been leaked by KT. pic.twitter.com/qzIvOTc6DhJuly 22, 2026

We're now less than 30 minutes away from Samsung Galaxy Unpacked 2026, and the leaks are looking ever more convincing, with what appears to be official marketing imagery having now leaked too, as you can see above.

This shows off all three expected foldables — the Samsung Galaxy Z Fold 8, Galaxy Z Fold 8 Ultra, and Samsung Galaxy Z Flip 8.

The purple Z Fold 8 Ultra looks quite appealing, but hopefully the pink background is a sign that we'll get some brighter colors too.

A subtle hint?

(Image credit: Future)

We're taking our seats at London's Galaxy Unpacked 2026 event and noticed a nice little touch from Samsung.

When you remove the perforated portion of our lanyards, it's remarkably close to the expected shape of the Z Fold 8 that we've seen in leaks.

Still, if you want an even clearer idea of what's coming, check out the leaked marketing materials that have just landed for the Fold 8 series. Or you could just wait 15 minutes to see the real thing...

What about the Galaxy Ring 2?

(Image credit: Zachariah Kelly / TechRadar)

What's TechRadar's Senior Fitness & Wearables Editor Matt Evans most excited about at today's Unpacked?

"I'm most looking forward to the wearables — the Watch 8 was outstanding last year, and I’m hoping for more of the same on that front. But the hotly-rumored Watch Ultra 2 is going to be the real star. Plus, who knows? We may event get a hint about a Ring 2…", he says.

Samsung has already confirmed it's working on the Galaxy Ring 2 — and while it isn't expected to get a full launch today, we could well get a teaser at the end of the event (just as Samsung did for the original Ring).

Five minutes to go...FutureFuture

It's now just five minutes till kick off, and TechRadar's Lance Ulanoff has shared some final thoughts on this year's second Unpacked.

"We pretty much all know the shape of things to come, but I'm super curious to see the reaction from the crowd here and online. Is different better or just different? Can more fold shapes expand the market? Or can only Apple do that?" he says.

We won't have to wait long to find out...

Get your popcorn ready

(Image credit: Future)

We're just a minute away from the start of Unpacked, and the expected arrival of its new foldables and smartwatches.

A final thought from TechRadar's Editor at Large, Lance Ulanoff, who's at the event right now. "What may be missing from this event is any kind of surprise. Samsung is very leaky, and most of the excitement tends to be muted by the time they tell us what we already knew or read about somewhere," he says.

"For Samsung, the goal is to generate Apple-level energy for its latest foldables and any other products they pull out of their back pocket. It's especially important to build that kind of momentum before Apple begins its product rollout juggernaut in September," he adds.

And we're off

(Image credit: Samsung)

TechRadar's Phones editor Axel Metz has some final pre-Unpacked thoughts as we go through Samsung's pre-amble.

"I’m curious to see whether Samsung positions the shorter, wider Galaxy Z Fold 8 as its hero product this year — i.e. the foldable it hopes and expects people to buy — or simply as a more affordable alternative to the premium Galaxy Z Fold 8 Ultra," he says.

"In making the Galaxy Z Fold 8, Samsung is acknowledging that the taller, narrower form factor of the Galaxy Z Fold 8 Ultra isn’t very ‘Gen Z’, and with Apple rumored to be releasing a similarly sized iPhone Ultra later this year, I — and probably Samsung — expect this new aspect ratio to become the foldable mainstream. Where does that leave the Ultra in years to come?" he says.

The Samsung Glasses are coming

(Image credit: Future)

That's a surprise, Samsung has just teased that the Galaxy Glasses are coming at today's event. But first, it's going hard on security and privacy...

(Image credit: Samsung)AI and privacy are the hot topics

Samsung's TM Roh is on the stage right now talking about the "the importance of AI infrastructure", as he says Galaxy AI will be coming to 800 million devices by the end of the year. Now we're moving onto its foldables, starting with the Galaxy Z Fold 8 Ultra...

@techradar

♬ original sound - TechRadar First up, the Z Fold 8 Ultra...

(Image credit: Samsung)

Samsung's starting its Z Fold 8 Ultra promo with Flex Titanium, the new hinge design it announced last week that promises to make the crease less visible.

Also, there's battery news — it has largest-ever battery in a Galaxy Z Fold phone (at 5000mAh), and for the first time uses silicon carbon tech that we've seen in its many Chinese rivals — hooray...

Cybersecurity risks in water infrastructure have consequences that reach far beyond systems and networks.

Across the sector, the systems responsible for treatment and distribution are becoming more connected. Pumps, sensors and control environments that once operated in isolation are now linked to wider networks, often in the name of efficiency or modernization.

The problem is that these systems were never built with continuous exposure to cyber threats in mind and connecting them has introduced new attack surfaces that are difficult to maintain visibility of and control.

At the same time, many facilities have crept towards an increasingly blurred line between IT and operational technology (OT). Driven by incremental needs and very practical limits on systemic refresh, these systems have been added to and grown more complex over time rather than being designed securely from the ground up.

As a result, they become more tightly interconnected, with access stretching further across networks and systems than it should. Once an attacker breaches a system, it becomes far easier to move laterally across the network and get closer to critical infrastructure.

Meanwhile, cyber threats continue to encroach on the water sector, with attacks becoming increasingly frequent and their potential impact is hard to ignore. Disruptions to drinking water treatment or control systems can quickly escalate, interrupting supply or affecting water quality and, in turn, the communities that depend on them.

Structural challenges in securing water systems

Securing water infrastructure is made more difficult by the operational realities many providers face. Technology environments have expanded over time, often without dedicated cybersecurity resources growing at the same pace, making it harder to maintain consistent oversight across increasingly ageing and disparate systems.

Many organizations are also balancing modern hyper-connected digital management expectations with the ongoing operation of originally isolated, long-established systems. This places additional pressure on teams responsible for maintaining both resilience and day-to-day continuity.

Another persistent challenge is the divide between IT and operational technology (OT) teams. Because these environments have traditionally evolved separately, with different design approaches, responsibilities, priorities and expertise, they are not always closely aligned, which can slow decision-making and create gaps in visibility during an incident.

In smaller providers, cybersecurity responsibilities may sit with operational staff whose primary expertise lies in running facilities rather than managing cyber risk. Larger organizations may have more specialized cyber teams, but greater separation between functions still introduces coordination challenges and the risk of operational blind spots.

Connectivity without constraint

The growing use of cloud computing platforms and remote access tools has brought clear operational advantages to critical infrastructure like water systems. However, it has also reinforced a default position of keeping systems online at all times, often without a genuine operational imperative for continuous connectivity.

This “always-connected” approach can unnecessarily increase exposure, particularly as more assets become reachable across wider networks. Without clear control over the time windows when systems need to be accessible, organizations may be creating more risk than expected, certainly more than is required.

A stronger, resilient approach starts with recognizing that security grows by making connectivity intentional. Not every system needs to remain online continuously, and limiting unnecessary access significantly improves security outcomes.

This can be achieved by creating stronger separation between critical systems and the wider network, using controls that allow connections to be enabled only when required while maintaining essential operations. In this model, connectivity is actively managed to define resilience on demand.

Containment as a first line of defense

In the event of a vulnerability or compromise, response speed is critical, notably in environments where interconnected systems enable threats to spread rapidly across the network. Without effective connection controls in place, attackers can exploit this unconstrained accessibility to extend their reach before a full response is underway.

The ability to isolate systems in real time helps change this state. Segmenting critical parts of the network helps limit lateral movement, and deeply segmenting down to high criticality digital elements enables organizations to contain threats far more substantially and focus their efforts on speeding up the incident response.

Having this level of control helps limit the spread of disruption and supports a more structured response. It also creates clear, demonstrable evidence of how risk is being managed - something that’s becoming increasingly important as regulatory scrutiny and cyber insurance requirements become more demanding.

Moving to controlled access

The most resilient model possible with physical connection control treats access to critical systems as fully conditional. Rather than keeping them permanently online, connections can be limited to where, when and why they are required for business reasons. As risk levels change, this can be refined or tightened at will.

This lowers both risk and potential impact, minimizing loss, while preserving the flexibility required for day-to-day operations.

For water providers, deliberately managing connectivity and segmenting networks at an infrastructure level should be a priority for resilience. Clearer boundaries and reduced unnecessary access make it easier to protect infrastructure that plays a vital role in public safety.

We've reviewed, rated, and ranked the best ransomware protection software.

This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.

The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit

• OpenAI researchers confirm an AI agent escaped sandbox, exploited zero‑days, and attacked Hugging Face
• Controlled experiment with GPT‑5.6 Sol showed autonomous chaining of vulnerabilities and credential theft
• Security experts call it unprecedented, urging stronger AI governance, accountability, and protection models

OpenAI has confirmed one of its AI agents broke out of a sandbox, found and exploited zero-day vulnerabilities to gain access to the open internet, and then attacked a platform.

Not just any platform too - the agent was able to breach Hugging Face, one of the biggest AI and machine learning companies on the Internet today.

The good news is that this was a controlled experiment done by white hat researchers. The bad news is that if it could be done by researchers - it could probably be done by malicious actors, too.

Whatever it takes

In a blog post explaining the incident, OpenAI revealed the experiment was part of its testing of GPT‑5.6 Sol and an “even more capable pre-release model” to see how well they would perform on the ExploitGym benchmark.

ExploitGym is a cybersecurity benchmark that measures if an AI agent can turn a known software vulnerability into a real, working exploit. OpenAI ran it in a “highly isolated environment, with network access constrained to the ability to install packages through an internally hosted third-party software that acts as a proxy and cache for package registries.”

But the models found a way through. They identified and chained vulnerabilities in the package registry cache proxy to obtain open internet access and then attacked Hugging Face, reasoning that the solutions for the ExploitGym benchmark might be found there.

“In one example, the model chained together multiple attack vectors, including using stolen credentials and zero-day vulnerabilities to find a remote code execution path on the Hugging Face servers,” OpenAI said.

The security community is up in arms over what OpenAI called, "an unprecedented cyber incident,” while Ansgar Dodt, VP Product Management, Software Monetization at Thales said this “demands a fundamental rethink of software protection.”

Bill Conner, president and CEO of AI integration and automation expert Jitterbit, said that while investing in AI is “critically important,” “overly aggressive policy cannot compromise AI accountability, transparency and data privacy.”

“To lead in AI, governments and organizations must lead with principles. Responsible AI governance isn’t a side note but the foundation of lasting global influence.”

Across industries, organizations are increasingly tracking AI usage through dashboards, token utilization and platform engagement metrics. Some of the most visible companies in the world have stood up leaderboards ranking employee AI use; others have tied AI adoption directly to raises and promotions.

The intent is reasonable - leaders want a signal that the investment is landing.

But we’ve reached a point where managers, executives and boards carry a false assumption that AI usage means a more AI-ready workforce. Usage and capability are not the same thing.

Recent research, based on a survey of 2,000 workers across the U.S. and U.K., suggests many organizations are measuring AI adoption faster than employees are learning to use it effectively. While 46% of employees report using AI tools at work, nearly half have received no formal AI training and 56% have no clear path for developing AI-related skills.

Perhaps most concerning, 17% admit they are pretending to use AI at work. If organizations mistake AI usage for capability and readiness, they risk building strategies and processes for a workforce that doesn’t actually have the skills to execute them.

The gap isn't a talent problem; it's a systems problem between technology adoption and workforce development. Solving it means CIOs and HR leaders must move beyond coordination and take joint accountability for translating AI usage into true workforce capability.

The measurement trap

As AI becomes embedded into everyday work, leaders are looking for ways to track progress. Dashboards, usage reports, prompt counts and engagement metrics seem to offer an obvious way to demonstrate momentum. But activity is not the same as capability.

An employee generating 10 prompts daily may appear highly engaged. That doesn’t mean they know how to provide effective inputs, evaluate outputs, recognize hallucinations, or apply AI responsibly in ways that meaningfully improve performance.

When organizations treat activity as a proxy for competency, leaders develop a false sense of confidence about workforce readiness while critical capability gaps remain hidden beneath the surface.

Don't just agentify the mess

There’s a parallel trap on the technology side, where there’s a race to “agentify” everything, wrapping an agent around every existing process and SKU.

But automating a broken workflow simply produces a faster broken workflow. The point isn’t to agentify the mess. It’s to rethink the work first, then apply AI to what matters.

The same discipline applies to how we measure return. Automation and the productivity gains are real, but treating efficiency as the finish line badly undersells the opportunity.

The larger prize is transformation: moving the topline and the bottom line, not just shaving cost per task. Organizations that aim only at incremental productivity will capture a fraction of what AI can actually deliver.

The visibility gap nobody is talking about

This creates a new challenge for CIOs and HR leaders. Most organizations can now see who is using AI tools. Far fewer can see whether employees are using them effectively.

The next phase of AI transformation will not be determined by access to tools, which most organizations have already solved. It will be determined by whether employees possess the judgment, confidence and skills necessary to use those tools productively and impactfully.

Without that visibility, organizations risk optimizing for adoption metrics while underinvesting in the development that generates long-term business value. Technology procurement lives with one team. Learning and skills data lives in another. Performance data often lives somewhere else entirely.

Consequently, organizations struggle to connect AI usage with business outcomes.

This is a CIO problem as much as an HR one.

Joint accountability, not coordination

The conversation I’m having with peers is about moving from coordination to joint accountability. Coordination means IT and HR talk to each other. Joint accountability means they own the same outcome together; specifically, whether the workforce can execute the organization’s AI strategy.

Forget using AI. Are employees using it effectively enough to have a measurable impact on the business?

That reframe changes where decisions get made and who makes them. HR leaders understand what capabilities the business will need and where the development gaps are widening. CIOs understand how AI tools are deployed, where agents sit in the workflow, and where technical infrastructure can support learning at the point of work.

Neither function can solve the problem alone.

The skills that endure

Through all this churn - new models, new tools, new agents every quarter - one thing stays durable: domain expertise expressed as work. The specific, task-level skills that make someone effective at their core job don’t depreciate the way a given tool does. As AI transforms how work gets done, those domain-grounded skills are what compound and carry forward.

When organizations examine why AI adoption often stalls or remains shallow, the same issue tends to surface: AI is deployed without being meaningfully anchored to the skills and tasks of the workforce. Adoption becomes activity - visible, but not compounding.

Addressing this requires a shift in focus. AI needs to be connected directly to how work is actually performed and improved. When adoption is tied to real tasks and outcomes, it becomes a mechanism for continuously strengthening underlying skills, rather than just increasing tool usage.

What CIOs need to own

The AI-readiness conversation has largely focused on technology deployment. The harder question is whether organizations are building the workforce capabilities necessary to translate adoption into results.

For CIOs, that means taking ownership of something that extends beyond technology infrastructure. It’s creating the systems, partnerships and feedback loops that allow their organizations to build capability at the speed AI is evolving, with visibility into the AI skills that their people are developing.

The most successful organisations will have CIO and HR leaders jointly turning AI usage into sustained workforce capability and measurable business value. They give employees not just the tools, but the support to use them effectively. That is what the AI-empowered workforce of the future looks like.

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• Xteink has just launched the X4 Pro
• This tiny ereader can stick to the back of your phone, and its main upgrades include a light and a touchscreen
• New open source ereader software called FreeInk has also been announced

While small smartphones have largely gone out of fashion, it seems there’s an appetite for absolutely tiny ereaders. The Xteink brand is one of the biggest small-screen successes in this space, and its new model, the Xteink X4 Pro, is set to potentially be its best yet.

This ereader has just a 4.3-inch screen, with dimensions of 111 x 69 x 5.95mm, making it even smaller than the iPhone 13 mini, so it's small enough to fit in even a tiny pocket.

That makes it roughly the same size as the Xteink X4, and, like that device, this can also be magnetically attached to the back of a phone, essentially turning your handset into a dual-screen device, with the second display being a more eye-friendly way to read.

But where the Xteink X4 Pro has its predecessor beat is in replacing clunky buttons with a touchscreen, and — perhaps even more importantly — adding a front light, so you can read on it in the dark.

This also has a much higher-capacity 1,100mAh battery (up from 650mAh), and yet somehow weighs marginally less at 72g.

A low price and lacking apps

(Image credit: Xteink)

The Xteink X4 Pro is out now, and you can order it directly from Xteink’s site for $109 / £84 / AU$159, though a launch discount temporarily brings it down to $99 / £76 / AU$145.

That makes it a bit more expensive than its predecessor, and it replaces USB-C charging with a magnetic pogo charger, which won’t appeal to everyone. But arguably the main downside of this device is that it doesn’t support Android. No current Xteink devices do — though the upcoming Xteink S4 will. That means you can’t get the Kindle or Kobo apps on them, so you have to sideload books.

It also means they run Xteink’s own software, which receives mixed reviews. However, as long as you get a developer edition of the Xteink X4 Pro, you’re free to change the firmware, and there are some third-party options that may work better, including the newly-announced FreeInk.

This is open-source software that’s specifically listed as supporting the X3 and X4, among other devices. So while this won’t give you access to the Kindle app, some users might find it preferable to Xteink’s own software.

If I could sum up Rick and Morty season 9 in one word... I couldn't. It's physically impossible to sump up the chaos that is the Smith's family life in so few words.

All we've got to go off of this week is a name: Tom Sawyer. We can assume that this will somehow relate to the classic Mark Twain novel The Adventures of Tom Sawyer, but does this mean Morty is also Huckleberry Finn? Watch this space.

Regardless, when does Rick and Morty season 9 episode 10 arrive on Adult Swim, Hulu, and HBO Max?

What time can I watch Rick and Morty season 9 episode 10 on Adult Swim, Hulu, and HBO Max?

In the US, Rick and Morty season 9 episode 10 will debut on Adult Swim on Sunday, July 26 at 8pm PT / 11pm ET.

Viewers elsewhere, as well as in the US, have two streaming options: Hulu and HBO Max. Episodes should appear on these platforms 24 hours after they've aired on Adult Swim, meaning you can expect episode 10 to land on Monday, July 27. These are the timings you need to be aware of for the latter date:

• US – 12am PT / 3am ET
• Canada – 12am PT / 3am ET
• UK – 8am BST
• India – 12:30pm IST
• Singapore – 3pm SGT
• Australia – 6pm AEST
• New Zealand – 8pm NZDT

When do new episodes of Rick and Morty season 9 come out?

(Image credit: Adult Swim)

After this week's entry, they won't. Rick and Morty season 9 comprises 10 episodes so, once its finale has aired, there'll be no more chapters to enjoy until a 10th season is potentially greenlit.

• Motorola Pad 70 Groove just launched in india, with wider release in August
• The bezels and back tote 4 tweeters, 3 woofers and 2 passive radiators
• Will likely be great for movies and music — annoying for other commuters

We've seen loudspeakers come in all shapes and sizes, but JBL's latest has some odd additions. There's the 12.1-inch screen, the cameras, the pretty in-depth user interface... oh, it's a tablet, isn't it?

Meet the Moto Pad 70 Groove, a new touchscreen handheld which has just launched in India, ahead of a general sale in early August. There's no word on global availability, mind — and given that the other Moto Pad products are India-only, I'm not holding my breath.

Anyway, this is a new mid-range Android slate which has an array of JBL-tuned speakers as the central feature. There are nine speakers in all: four tweeters, three woofers, and two passive radiators, and they're all arranged together behind the grille on the back of the tablet. Audiophiles might wince at that sardine-like placement, but it is what it is.

The tablet has a kickstand so you can aim the speaker in different directions (or, more accurately, lift the tablet so the speakers aren't facing directly down into a table). The brand seems to be pitching the set-up for movie streaming (the display is 2.5K, with Dolby Vision), and playing music out loud — the max output is 48W.

Buy it or skip it?

I've tested smartphones and tablets designed for audio before, and I've yet to hear anything that comes remotely close to the best Bluetooth speakers, even cheaper ones.

Portable devices just don't offer the stereo spacing you'd want for a great audio sound — and the Groove's rear speaker stack might make the tablet rather unwieldy for use as an everyday slate.

If you're still curious to test it, I covered leaked renders of the Lenovo Tab Plus Gen 2 several months ago, and the device is now on sale for $399 / £369 (about AU$700). It has the same speaker system, kickstand, attached tablet... in fact, it seems to be basically the same thing (Lenovo owns Motorola, so there are no accusations of plagiarism here).

Still, I think I'd rather buy an actual Bluetooth speaker and just pair that to my current tablet, rather than buy a brand-new one just for its novelty. Thankfully, I happen to know of a website where they test gadgets just like that...

• TeamViewer report finds 71% of autonomous AI users set guardrails, but 61% wouldn't even use autonomous AI to begin with
• The average worker spends 2+ hours per week validating AI output
• Security and privacy could have the biggest impact

New TeamViewer research positions trust as the latest major barrier to AI adoption, with workers generally viewing the tool positively but struggling to hand over full independence to it.

Today, three in four workers use AI daily and only 3% say they don't see any noticeable workplace benefits, but nearly all (95%) respondents have at least some concern about AI operating without a human in the loop.

This struggle speaks to AI's evolution from generative to agentic, with workers most concerns about the autonomy of AI agents over AI's actual ability to produce results.

Agentic AI's biggest barrier is trust

Three in five (61%) said they'd prefer AI to take no independent action, with only around one-third (35%) willing for it to act autonomously on their behalf. Most of that group (71%) are only comfortable with AI handling defined tasks, confirming that safety and guardrails are a necessity.

As for trust's impact on productivity, more than half (56%) often or always verify AI outputs before relying on them, spending an average of two hours per week checking AI-generated work.

"The real opportunity is to use AI and automation to prevent disruption, improve digital experiences, and free people to focus on higher-value work," CEO Oliver Steil wrote.

Strong security and privacy protections would have the biggest impact in making autonomous AI more acceptable, followed by notifications before significant changes are made, restrictions on what information AI can access, agent activity monitoring tools and the option to reverse any actions.

"The next step is designing systems that know when to act, when to wait, and when to bring people into the decision," Chief Product and Technology Officer Mei Dent added.

Data leaks and corporate breaches have become routine. In many cases, stolen credentials, databases, or attack tools eventually appear on the dark web, where they are traded and reused in future attacks.

This raises a question for businesses: if stolen corporate data ends up on the dark web, does it make sense to engage with this environment directly — by buying information, paying for services, or negotiating with attackers?

The short answer is no.

Not because the dark web doesn’t matter — quite the opposite: it is a core part of today’s cybercriminal infrastructure. The problem is that doing business with the dark web rarely reduces the immediate risks and systematically strengthens the very market that creates threats.

The nature of the dark web

The dark web — often used interchangeably with the term darknet — refers to parts of the internet intentionally hidden from search engines and accessible only through tools such as Tor or I2P.

It is not a single network but a collection of platforms and communities gated by encryption, nonstandard protocols, or restricted access. While some resources are relatively neutral, others are directly tied to criminal activity. From a cybersecurity perspective, the dark web matters primarily as a mature cybercrime marketplace.

Technically, many platforms resemble early internet forums. Functionally, however, they operate much like B2B marketplaces — except the products include stolen data, compromised accounts, malware, exploit kits, and attack services.

The economics of cybercrime

A key function of the dark web is simplifying the monetization of cybercrime. More importantly, it enables specialization and the formation of complex supply chains.

Instead of building operations end-to-end, cybercriminals now focus on specific roles: some identify vulnerabilities and gain initial access, others develop and distribute malware, while others specialize in monetization through data sales, extortion, or attacks-for-hire.

This division of labor has created a full-fledged cybercrime economy. Attackers no longer need advanced expertise or their own infrastructure — they can purchase the necessary tools and services, lowering the barrier to entry and increasing the scale of attacks.

A clear example is the Ransomware-as-a-Service (RaaS) model, where core groups develop malware and manage negotiations, while affiliates carry out attacks for a share of the ransom. This model has enabled large-scale incidents such as the 2021 Colonial Pipeline attack, which disrupted fuel supplies across the U.S. East Coast and resulted in a $4.4 million payment.

Dark web intelligence and false signals

As the dark web evolved into a cybercrime marketplace, businesses naturally became interested in monitoring it for early warning signals.

In practice, this approach works only partially. The problem with dark web intelligence is that it comes from an environment with virtually no reliable verification mechanisms.

Like any anonymous and unregulated market, the dark web contains a significant amount of noise, manipulation, and outright fraud. Listings may be outdated, fabricated, or recycled from old leaks, while reputation signals can be artificially inflated.

The problem becomes even more pronounced when monitoring is outsourced to third-party vendors. Weak or unverifiable signals can easily be exaggerated, misinterpreted, or presented as evidence of major threats.

As a result, dark web monitoring rarely provides the level of certainty businesses expect. At best, it can highlight a potential issue that still requires verification.

Never pay cybercriminals

Direct engagement with the dark web is even more problematic — whether through ransom payments, purchasing leaked data, or hiring anonymous actors to test infrastructure.

The most obvious issue is that paying cybercriminals offers no guarantees. Attackers may simply demand another payment or leak the data anyway.

Uber learned this in 2016 after paying attackers $100,000 following a breach affecting 57 million users, only for the incident to become public later and trigger regulatory fallout.

A similar pattern appeared in the 2017 breach of HBO, when attackers stole 1.5 TB of Game of Thrones-related data, including unreleased episodes and internal documents. HBO reportedly transferred $250,000, but the material leaked anyway.

The broader problem, however, is structural: every payment flowing into the dark web economy directly finances its further growth. The more businesses participate in that market, the stronger the incentives for attackers to discover vulnerabilities, compromise systems, and scale operations.

Common mistakes when dealing with the dark web

When dealing with the dark web, organizations tend to repeat the same mistakes regardless of industry or size.

Trying to pay their way out of the problem. Companies often approach ransomware or leaks as negotiation problems. In reality, paying a ransom guarantees neither recovery nor safety. According to a 2021 study by Cybereason, 80% of organizations that paid ransoms were attacked again, often by the same groups.

Treating dark web monitoring as insurance. Monitoring services are often marketed as proactive protection. In reality, if company data appears for sale on the dark web, the compromise has already happened. Monitoring can provide signals, but it cannot replace actual security controls.

Hiring dark web hackers to test infrastructure. Unlike legitimate penetration testing, anonymous dark web “audits” offer no accountability, verification, or compliance guarantees. Even worse, the hired hacker may establish unauthorized access and later resell it.

Panicking after seeing the company name on the dark web. Many leaks and listings are outdated, recycled, or entirely fabricated. Without proper verification, rushed decisions can worsen the situation.

Delegating the entire issue to “dark web specialists.” Many companies delegate dark web monitoring to external vendors without the ability to independently assess the quality of the results. This creates a dangerous information asymmetry and increases dependence on unverifiable claims.

What businesses should do instead

Dark web intelligence can be useful as one additional source of signals, but it requires cautious interpretation and independent validation. Treating it as a reliable source of truth — or outsourcing the entire function without oversight — is risky.

More importantly, businesses should avoid directly financing criminal ecosystems through payments or participation in underground markets.

Cyber resilience is built internally. Rather than attempting to “buy security” on the dark web, organizations should invest in systematic defense: resilient architecture, vulnerability management, monitoring, incident response, and technologies capable of mitigating attacks while maintaining continuity of critical services.

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The El Niño weather pattern could limit how many Atlantic storms form this year. But unusually warm waters temperatures mean the risk of destructive storms is still high.

(Image credit: NOAA via AP)

Storm damage is expected to be limited because the El Niño weather pattern will counter its worst effects. But unusually warm waters in the Atlantic means the risk of destructive storms is still high.

(Image credit: NOAA via AP)

• OpenAI launches online and digital training for small businesses
• Partner plugins also launch to automate common workflows
• ChatGPT Work, Codex now have 10 million users

OpenAI has launched a dedicated ChatGPT for small business program to help SMBs automate routine work and increase productivity without the teams and resources that larger enterprises have access to.

The scheme is primarily an education process, and will focus on training, in-person academies and practical guides. OpenAI will also launch dedicated agents and partnerships to support small business workflows, too.

The recently-launched ChatGPT Work platform also features, with the software vendor pushing its latest tool through the program, claiming that ChatGPT Work and Codex are now said to have a combined 10 million users.

OpenAI sets its sights on small businesses

After gaining significant public interest following the launch of ChatGPT in late 2022 and spending many months and years improving models, the company then went on to target certain fields like finance and law. This latest step expands its focus to a broader category of businesses across all domains, but more importantly, it unlocks major volume for OpenAI. SMBs represent around 99% of the private sector globally.

Some of the support on offer includes webinars demonstrating how to use ChatGPT Work, prompt engineering guidance and other interactive guides. In-person events will also be held across the US through OpenAI Academy.

Select plugins and skills are also on the cards to handle common SMB workflows, with initial partners including Dropbox, Shopify, Intuit, Slack and Wix.

"Small businesses can choose the right level of intelligence model for the work at hand, and together, they give lean teams more flexibility to balance quality, speed, and cost," OpenAI wrote.

GPT-5.6 and ChatGPT Work are now available to pretty much all subscribers, with access via the web, desktop app or mobile app slightly differing depending on whether you're a paying customer.

Across the UK, cybersecurity incidents have become a familiar feature of the business landscape.

Disruptions affecting manufacturing and logistics over the past year have underlined how exposed organizations can be when physical operations are connected and digitalized.

Despite this growing awareness, boardroom conversations on cyber risk still tend to center on corporate IT and not operational technology (OT).

That focus leaves a significant gap. Operational technology, the systems that run factories, manage supply chains and underpin essential services, is now a primary target for attackers. When these environments are compromised, the consequences extend far beyond lost data, affecting safety, revenue and in some cases an organization's ability to operate at all.

For many boards, this is less a question of indifference and more one of framing. Cyber risk is still commonly understood through an IT lens, shaped by experiences with data breaches or malware attacks that take down websites or enterprise IT systems. Operational disruption behaves differently in both scale and impact, and it demands a different level of governance attention.

Why OT risk is routinely underestimated

Much of today’s operational infrastructure was designed long before connectivity and remote access became standard. These systems were engineered for reliability and safety, not for defense against hostile actors. As they have become more connected and digitalized, exposure has increased without always being matched by equivalent security practices.

The result is that many of the most serious business risks now sit within operational environments that boards rarely examine in detail. This creates a structural blind spot. While IT incidents are often measured in hours or days, failures in OT environments can take longer to mitigate while halting production, disrupting critical services and generating losses that compound rapidly over time.

Boards tend to engage more effectively when risk is grounded in tangible business terms. Understanding what a facility produces in a day, or what a week-long shutdown would mean for customers and partners, brings operational risk into sharper focus. Without that context, OT security can remain abstract and under-prioritized.

When cyber incidents stop operations

Recent incidents have shown how quickly cybersecurity events can escalate into operational crises. Last year, a leading British automotive brand publicly confirmed a cyber incident that led to a precautionary shutdown of systems. Manufacturing and retail operations were halted for weeks and disruptions rippled through suppliers, logistics partners and dealerships

Similar lessons can be drawn from cyber incidents affecting the UK’s water sector, where attackers targeted environments connected to the operational systems that control treatment and distribution. Beginning in 2024, multiple incidents reached systems close enough to operational control to raise concerns about safe operation.

Taken together, these examples point to board-level issues beyond preventing down time or service outages. They are also about maintaining operational continuity, understanding how quickly localized disruptions can cascade across an organization, and factoring in safety concerns and reputational risk.

A risk landscape shaped by geopolitics

Operational technology risk is increasingly shaped by global forces. Geopolitical tension, trade restrictions and supply chain uncertainty now influence how organizations plan and prioritize security investment.

At the same time, governments are raising expectations around resilience and incident reporting, particularly in sectors linked to national infrastructure. Boards are therefore required to consider regulatory and geopolitical pressures alongside technical risk, adding another layer of complexity to cyber governance.

Bringing direction and discipline to governance

Stronger oversight depends on education and structure. Boards should expect cyber leaders to explain operational risk in clear business terms and to reference recognized best practice. Focusing on a prioritized and manageable set of critical controls that deliver the greatest risk reduction provides a practical foundation without overwhelming the organization.

Governance cadence is just as important as control selection. Regular, structured engagement with senior management create space to track how security investment supports operational resilience and wider business outcomes. Treating cyber risk as a standing governance issue, rather than an occasional update, reinforces accountability and sustained attention.

Clear prioritization models can further support decision-making. Categorizing actions into those that must happen now, those that can follow next and those that should not be pursued helps align technical, operational and financial perspectives. A shared language of priority reduces ambiguity and supports more consistent execution across sites.

A leadership obligation

Operational technology security can no longer be treated as a technical niche. It has become a leadership responsibility shaped by operational dependence, external pressure and increasingly capable adversaries. Boards that recognize this shift are better positioned to protect continuity, revenue and trust.

Looking ahead, resilient organizations will be led by teams that engage directly with the realities of their industrial environments. Asking sharper questions, demanding clearer insight and ensuring governance structures keep pace with operational risk remain among the most effective safeguards leaders can provide.

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• Garmin Cirqa smart band has finally dropped
• The screen-free smart band costs $199.99 / £179.99 / AU$299.99
• I tested its accuracy and found it to be very good

It’s here! After months of leaks, the Garmin Cirqa smart band (styled ‘CIRQA’ by Garmin) has finally arrived. I got a chance to check it out — and wear it for a workout — at the official launch event. A sleek-looking fabric smart band in four colors (French Grey, Black, Captain Blue and Mauve) wrapped around a plastic puck, there’s no denying it looks a lot like a Whoop, Polar Loop or a thicker version of the Google Fitbit Air.

The puck packs an Elevate V4 heart rate sensor, the same one used on some of the best Garmin watches. The more powerful Elevate V5 was apparently too big for the size of the unit, according to Garmin.

The tracker offers some of Garmin’s best features including Health Status (Garmin's feature that monitors your vitals overnight), Body Battery, Training Readiness, pulse ox, women’s health tracking, and stress tracking and lots more. The Garmin Cirqa has a 10-day battery life, and the same proprietary charging port as the brand's watches. As expected, there's no onboard GPS, but it can piggyback off your phone's GPS.

Size-wise, it's slimmer than the Whoop MG but thicker than the Fitbit Air.

(Image credit: Future)

Many other screenless trackers have no buttons at all, but here Garmin has stuck with its tradition of creating smartwatches with tactile buttons, and added a button to the plastic chassis.

You can press this button to start and stop a workout, but you can also rely on automatic activity tracking for this. Garmin states this will improve the longer you wear the band, and it's also possible to edit workouts in the Connect app to ensure the right movements are correctly interpreted. For example, if you run a lot, the Garmin Cirqa will interpret the swinging of your arms and acceleration as a running workout and start one automatically.

No subscription... or is there?

(Image credit: Future)

The band is subscription-free at its base price. Many screen-free trackers from the likes of Whoop and Oura rely entirely on subscriptions, but there is an element of monthly payment creeping in there. You can access Garmin Coach to get personalized training plans, but only if you subscribe to Garmin’s premium Garmin Connect+ tier.

This is the first time Garmin Coach has been locked behind the Garmin Connect+ paywall — previously, it either came with a watch or it didn’t.

Chrissy Wheeler, Garmin’s EMEA Senior Product Manager for Fitness, was at the launch and spoke about the Cirqa. She said: “You do have the option for premium content under Garmin Connect+. There are additional features, if you want to, you can pay for those, like all of our coaching side of things with this device. For some of our higher-end devices, these come included, but because this doesn’t have a screen, you need Garmin Connect+ to access the coaching size, our nutrition app… as well as Active Intelligence and AI insights.

“The key thing is that disconnect. People wanting to disconnect from phones, electronics on a day-to-day basis, but still want those metrics. It’s ideal, firstly, for people getting into fitness for the first time, but also for a lot of our athletes. Cycling, for example. They might record all their workouts on an Edge [Garmin cycling computer], but they’re missing out on that 24/7 recovery information, Body Battery, that goes alongside it.”

How I testedFutureFuture

After the product presentation, we were taken through a short HIIT workout by a trainer at the venue, for which I opted to wear the Polar H10 heart rate monitor. The Polar H10 is an electrical heart rate monitor worn on the chest, rather than an LED-based heart rate monitor worn on the wrist like the Cirqa.

It’s the gold standard for heart rate accuracy, used by many athletes all across the world. As fitness trackers use heart rate as the basis for almost all their metrics, it’s the perfect device to use as an accuracy benchmark.

During my workout, the Polar H10 recorded an average heart rate of 155 beats per minute, or bpm. The Garmin Cirqa recorded an average heart rate of 153 bpm, just 2bpm shy of the other device and well within the statistical margin for error. Graphs also aligned very closely.

Based on this first early test, I’m satisfied with the Garmin’s accuracy, but of course more testing will be required. Stay tuned.