No more needles. Until the Google Pixel Watch 5 arrived as part of Google's Made by Google 2026 event, the only way most people could monitor their blood sugar's responses to food and exercise with smart tech was to use a continuous glucose monitor, or CGM. A small puck with a Bluetooth receiver inside and a spike to connect to your blood, it projects your blood sugar levels to your phone in real time.
Very useful — and originally developed — for diabetics, it was also quickly co-opted by the wellness sector and marketed as a way to curb blood sugar spikes. I attended a product launch for one of these devices in a fancy hotel, where a celebrity chef talked us through how to make healthy canapés that wouldn't spike our blood sugar, As proof, we could see our blood sugar broadcast to our phones in real time, monitored by the needles in our arms.
Too much sugar increases the body's insulin resistance, leading to fat storage, while exercise uses your body's glucose stores as fuel. Simple enough in theory, but I found the constant readings from the CGM easy to obsess over during my trial period, checking my graphs after every meal and mentally planning how much exercise would be needing to offset the effect of those spikes. I am not diabetic.
The Google Pixel Watch 5 is heralding in, as part of its passive-tracking Health Guardian suite of features, a non-invasive Insulin Resistance Trends feature for Pixel Watches 3 and above. According to Google: 'The tool uses passive sensors on your wrist to track monthly shifts in your metabolic health, reserving formal lab work for when you're at the doctor's office.
'The goal of this new feature is to help you take control of your health journey, serving as a gentle reminder to pause and check your routines,' continues Google's press release. 'When this Health Guardian feature detects sustained, elevated insulin resistance trends over the month, it alerts you with a gentle nudge to help you adjust your daily habits and get your metabolic health back in its sweet spot.'
(Image credit: Getty Images)'Metabolic health' refers to the process of your body turning food into energy. A healthy body turns food and sugar into energy very effectively, while an unhealthy body works harder to mitigate those blood sugar spikes, leading to excess blood sugar being stored as fat rather than fuel. This results in weight gain and in some cases, Type-2 diabetes.
The feature isn't on watches yet (it'll arrive next month) and there's no indication of exactly how Google has been able to wrangle its optical LED sensors to manage this non-invasive Insulin Resistance Trends monitoring.
In its press materials, Google has been keen to emphasize that 40% of Americans are living with 'invisible shifts in their metabolic health'. The feature might help the US obesity crisis with a two-pronged assault; education about insulin resistance, and providing an accessible way to monitor this growing health problem without sticking a needle in your arm
However, just as I could see myself compulsively checking my blood sugar graphs, I worry that this might become yet another metric for otherwise-healthy smartwatch users to obsess over. Like weighing yourself every day or taking GLP-1s, weight management techniques can quickly transform from a healthy, positive thing into an addiction.
(Image credit: Shutterstock / Sergio Mak)Research published in the Cardiovascular Digital Health Journal in 2020 has identified a trend we've seen before in health tech users: an obsession with metrics, streaks and optimization.
The researchers said that although wearables provide lots of actionable data and improve real-time surveillance of disease, they found "another aspect of the digital health revolution that has not yet received due attention: the unanticipated and potentially negative effects of wearable devices on patients’ psychological health, quality of life, and health care utilization."
Just recently, our writers Becca Caddy and Alex Blake wrote about their own experiences with this phenomenon, with Caddy stating "What I didn't understand at the time was how thin the line between discipline and obsession can be. You can cross it gradually, one habit and one goal at a time, until something that started as a genuine attempt to look after yourself becomes another source of pressure, anxiety and control."
The messaging around weight management can be difficult to get right, and as much as the feature is likely to improve wearer's health, I worry Insulin Resistance Trends could become quite a triggering metric for people at risk of disordered behaviors.
To Google's credit, however, the glimpse of the feature we've seen so far isn't a moment-to-moment graph. Instead, it shows month-to-month general trends, presumably to avoid people checking the feature too much. There's also a lot of good to be done around educating users about the relationship between blood sugar, insulin, weight gain, and diabetes.
Regardless, when the feature does arrive next month, I hope thought is put into its execution so we can have as many of the good consequences as possible, while avoiding the bad.
The company that makes the gloves, Compliant Technologies, says they're a nonlethal tool to make individuals compliant during arrests.
(Image credit: Adam Gray)
First released in 1972, the general-purpose programming language C is one of the most important in the history of computing and underpins many of the modern systems that we use daily. Its creator, the late Dennis Ritchie, laid the foundations for much of the world's technical infrastructure in his early work, and C was a major element of his contribution.
Laying foundationsRitchie summarized the history and impact of the programming language he pioneered while working at Bell Labs in a history paper that he presented in 1993.
Quote of the dayThis article is part of TechRadar Pro's QOTD project to provide an insight into the minds of the brightest and most recognized figures in the technology industry today and in years gone by. Read the full series here.
His comments describing C highlighted its strange syntax, confusing declarations, and minimal rules base as evidence of its quirkiness. The flaws, meanwhile, arose in the fact that there were no built-in bounds for checking memory, with bugs frequently leading to crashes, alongside some small errors that led compilers to act in unpredictable ways.
However, the success of C is unquestionable, with the language running fast and mapping well to chips, and the language finding itself at the heart of many widely used operating systems including Unix, Windows and Linux.
The evolution of languageRitchie's C was also the precursor to a host of more modern languages including C++, Objective-C, Java, C#, PHP, JavaScript, and Go. Categorized as being under the 'C family', these languages inherit the basic syntax structures, but each will have its own use case and functionality in the modern world.
Despite C being firmly established in the programming hall of fame, it's no longer the world's most popular programming language.
A global index on the most used programming languages shows C in 11th position as of November 2025, with JavaScript taking top spot as the most used language among developers, followed by HTML/CSS, SQL, and Python.
A new US Congressional Budget Office report has estimated that the Navy's proposed Trump-class battleship program could ultimately cost taxpayers $275 billion.
The first vessel alone is projected to cost $23.4 billion, roughly $6 billion more than the Navy's initial estimate initially offered in December 2025.
Officials describe the 35,000-ton nuclear-powered warship as the most heavily armed surface combatant the Navy has ever attempted to build.
Ambitious design, timeline, and escalating costsThe Trump administration announced its intention to build this new class of large surface combatants in December 2025, describing it as a guided missile battleship.
It plans to equip this battleship with rail guns, large lasers, hypersonic missiles, nuclear cruise missiles and anti-air, land-attack and anti-ship missiles.
“If built to those specifications, the ship would be the largest surface combatant in the world and larger than any surface combatant built for the Navy since World War II,” according to the report.
“It would be more than three and a half times the size of the Navy’s Arleigh Burke-class guided missile destroyer and more than twice the size of the Zumwalt-class guided missile destroyer.”
The Navy will construct 15 Trump-class battleships between 2028 and 2056, with each of the following fourteen ships priced at $18 billion.
By comparison, the USS Gerald R. Ford, the Navy's newest nuclear-powered aircraft carrier, cost approximately $13.3 billion to build.
According to the CBO report, shipyards would need to produce 12% greater tonnage by 2035 under the 2027 plan than under the 2025 version.
To meet this schedule, the Navy would need to construct roughly one new battleship every other year between 2028 and 2056.
During that same period, the service would also need to continue producing two DDG-51 destroyers every single year without interruption or delay.
By 2058, total tonnage for large surface combatants would need to grow by 60%, a pace the report calls a potential challenge for industry.
Shipbuilding struggles raise doubtsConcerns about the Navy's shipbuilding capacity are not new, and a Government Accountability Office (GAO) report from last March outlined years of setbacks.
The GAO found that too few ships have been completed, that new vessels often fail to perform as expected, and that deliveries frequently run late.
Some ships have arrived up to three years behind schedule, according to the agency's assessment of nearly two decades of shipbuilding programs.
"We are effectively made to operate in a perpetual state of triage," said Shelby S. Oakley, director at the Government Accountability Office.
Oakley told the Senate Armed Services Committee that unrealistic assumptions about cost and schedule have repeatedly diverted resources and delayed shipbuilding programs.
The report further notes that switching to nuclear propulsion could lower the battleship's long-term operating costs by removing the need for fuel purchases.
However, the CBO did not provide a specific estimate of how much money nuclear power might save over the life of the program.
Via Defense News
A growing number of Volkswagen owners in London are returning to their vehicles, only to find that the badge mounted to the front grille is missing.
The first reports of the criminal activity emerged earlier this month, when Volkswagen owners contacted police about missing badges, with victims claiming that an official replacement can cost between £1,500 and £3,000 from an official Volkswagen dealer (or around $2,000-$4,000 / AU$2,900 to $4,000).
According to an earlier investigation by The Guardian and Autocar, the badges have been targeted for the expensive radar sensors hidden behind them, which assist with radar-based cruise control functionality.
The Sunday Times found a number of similar parts being sold on auction websites for as little as £80, with cut wires clearly on display, according to Car Dealer Magazine.
However, the most recent spree, which reportedly involved drones in the planning phase, has seen around 70 Volkswagen car badges stolen across southeast London in a spree that lasted four days.
One victim told The Times that the theft took "sub-five seconds", and that they had done nearly £2,000 (about $2,700 / AU$3,800) of damage in that time.
Police Constable Olly Rutherford, who is leading the Metropolitan Police investigation, said: “We are aware of a number of incidents in southeast London over recent weeks in which car badges including the vehicle’s radar sensors have been stolen.
“At this stage, around 70 thefts are believed to have taken place.”
The police are asking anyone who believes they have been a victim of the crime to contact the police and share details as soon as possible.
We contacted Volkswagen UK for comment, and a spokesperson said that while the company cannot specifically comment on the crimes referenced, it does have access to data covering instances where Volkswagen UK has supported a retailer in offering customers a gesture of support, cases raised with its customer service center on the topic, and official parts sold through its network.
According to the latest check, Volkswagen says this remains a “localized issue.”
“This unfortunate criminal activity — and we must remember that this is what this is, rather than a vehicle fault — appears to be concentrated principally within a limited number of areas within London, with only isolated cases elsewhere in the UK,” the spokesperson said.
The Volkswagen spokesperson went on to explain that only six cases had occurred outside the London area where the sensor was missing and that it takes vehicle security "very seriously".
Analysis: Vehicle tech is still attractive to thieves(Image credit: Porsche)Volkswagen UK says it continues to assist its retailers in offering a "gesture of support" to affected customers and that, on recently launched Volkswagen models, the radar sensor is located separately from the badge in a different location in an attempt to avoid the issue.
But the growing amount of technology found on vehicles is making them increasingly attractive to criminals.
One VW owner in Birmingham said that his Golf GTI has been stripped for parts twice and that police were "powerless" to help.
Last year, Porsche owners in London also found that their high-tech headlights were being targeted by thieves, who caused thousands of pounds’ worth of damage by physically cutting the entire lighting unit out of the body of the vehicle.
According to MoneySuperMarket, this could have also contributed to a dramatic rise in insurance costs for Porsche owners in London, who now pay £900 more on average for their annual insurance compared with the rest of the UK.
The Solar Eclipse did not bless my region with the full Monty, with the moon only managing to take a small bite of the sun. That, though, was enough for me. As soon as I donned my protective glasses and saw the celestial show, I had to document it in pictures.
Cue the struggle montage.
As I learned in previous solar eclipse events and, honestly, through years of photography, you can not shoot the sun or an event like a full or even partial solar eclipse with just your camera or smartphone. I don't care about how many megapixels you have or the size of your lens. In fact, shooting without lens protection could destroy the sensor on your digital camera or smartphone.
For this task, I pulled out a couple of tripods and grabbed both the iPhone 17 Pro Max and the new Samsung Galaxy Z Fold 8 Ultra. I also grabbed two pairs of protective Eclipse sunglasses I'd held onto since the total solar eclipse of August 21, 2017.
Setting uop for the big eclipse showFirst, I placed the phones in their respective tripods and smartphone holders. After aiming the cameras at the sun and figuring out which of the three lenses on each phone were the telephoto lenses, I took the eclipse sunglasses and positioned the filters over each telephoto lens.
On the iPhone 17 Pro Max, I immediately struggled to get the phone's camera system to stick with the right lens. I would uncover the lens array to find the sun and then flip the filter back on, which is so dark that the sun, when I could find it, would become an orange blur. Even when I held my finger on the screen to lock the exposure, as soon as I moved or made any kind of adjustment, I'd lose the lock. And, honestly, it was never in focus.
No matter what I did, I couldn't get the telephoto camera to match the necessary zoom, exposure, and focus. In fact, I soon realized that without a way to manually control the focus, this would never work.
A couple of digitally zoomed Samsung Galaxy Z Fold 8 Ultra eclipse photosLance Ulanoff / FutureLance Ulanoff / FutureMeanwhile, on the Samsung Galaxy Z Fold 8 Ultra, I had more luck getting the right focus and exposure, especially once I switched to Pro mode (under More in the camera app), but the images didn't really come together until I zoomed past optical and into digital zoom. The photos look good, but I'm not sure I can trust them as representing reality.
I switched back to the iPhone 17 Pro Max Eclipse photo project.
A few iPhone 17 Pro Max eclipse photos Lance Ulanoff / FutureLance Ulanoff / FutureLance Ulanoff / FutureFor full control of the iPhone camera system, I downloaded the Halide app. It surfaces controls for everything from ISO to white balance and, more importantly, exposure and focus. Even better, Halide settings remain until you change them, just like a pro-level camera. Once I found the right combination of exposure, ISO, zoom (8x sensor crop), and focus, I just kept shooting.
In my haste, I neglected to switch to Apple's RAW shooting mode, and the filter slipped a bit, so it wasn't perfectly flat or positioned against the lens, which may account for the purplish hue of my photos and the slightly 3D effect. Even so, I like the results.
Obviously, these are still smartphone photos and don't compare to what I could capture with my Sony A6000 and the right filter, but they are pretty cool nonetheless.
The federal lawsuit alleges that the service from the president's media company violates the Constitution. Meanwhile, Trump Media executives say they have signed up more than 10 customers.
(Image credit: Anna Moneymaker)
Utah-based Our Rescue was founded by activist Tim Ballard. It was previously known as Operation Underground Railroad and it says it helps law enforcement perform sting operations and rescues human trafficking survivors.
(Image credit: Michael M. Santiago)
Karoline Leavitt will continue to be an outside adviser, Trump said
(Image credit: SAUL LOEB)
Beijing may be benefiting from the war in Iran and Trump's tariffs and has an edge in the competition for tech supremacy. The New Yorker's Evan Osnos discusses his story "The Future, Made in China."
Tesla will physically recall more than 20,000 vehicles in the US because their headlights could reduce visibility for both the driver and fellow road users, potentially increasing the risk of accidents.
The NHTSA recall, officially codenamed 26V507, includes 2017-2023 Model 3 and 2020-2023 Model Y vehicles fitted with specific headlamp assemblies supplied by Marelli Automotive Lighting.
While there is no hard ceiling for the maximum brightness of low- and high-beam headlights, the NHTSA measures brightness at designated test angles to prevent glare and the possible ‘blinding’ of fellow road users.
According to the NHTSA, Tesla’s lamps are being recalled because the low beams exceed the maximum permitted light intensity in the outer upper-left and upper-right portions of a federally defined testing zone.
Electrek reports that Tesla was aware of the problem back in 2023, proposing to recall a small set of vehicles and petitioning the NHTSA to avoid a full recall. The petition was denied, and now Tesla will likely have to replace thousands of non-compliant headlamp assemblies as a result.
According to InsideEVs, Tesla says that it has not yet determined a fix for the vehicles and that the remedy is “currently under development.” Owners of the affected vehicles will receive notifications of the next steps via mail by September 15.
Analysis: A silver lining for owners(Image credit: Tesla)While a major recall is never a good look for any automotive manufacturer, it is part and parcel of daily life, as safety administrations look to ensure vehicles are performing as they should throughout their lifecycle.
Tesla, like any other car company, isn’t immune to recalls and has recently had to contact thousands of owners over issues with rear cameras and fix Cybertruck wheels that could crack.
That said, the EV giant has also been able to fix many of the issues that have arisen via over-the-air software updates.
Compare this to some of the largest recalls in history, which have affected millions of vehicles over decades, and Tesla’s physical recall numbers are relatively small fry.
What’s more, Not a Tesla App points out that, should Tesla have to replace entire headlamp assemblies, owners of these older vehicles may receive a free upgrade to Tesla’s matrix headlights, which offer improved illumination when driving at night.
The laptop deals keep rolling in this week, with several new and returning offers that are great buys if you need a new device for work, school, college, or for home use.
I've picked out deals for both the US and the UK, including some super-cheap Chromebooks that will just get the job done, mid-range laptops that offer good levels of performance for the price, and high-end powerhouses for more demanding tasks. There should be something below that suits both your budget and needs.
For example, in the US, I think it will be hard to beat this Dell XPS 13 for $599 (was $899.99) when you apply the student discount. Even if you aren't eligible for the extra $100 off, it's still a tempting $699.99, which is a fantastic price for a fast, powerful and stylish machine.
That's just one option, so do have a browse through all of the best laptop deals I've found right now.
US laptop dealsDisplay: 14 inches
Processor: MediaTek Kompanio 540
RAM: 4GB
Storage: 64GB
This super-cheap Lenovo Chromebook is a very basic device that's best suited to light use and schoolwork, but it's a bargain at this low price from Best Buy. The lean ChromeOS operating system gets more from low-end components, but it relies on you using more web-based applications such as Google Docs. And while it will struggle with anything beyond basic tasks, this also ensures exceptional all-day battery life, making it a strong portable option at a very affordable price.View Deal
Display - 15.3 inches
Processor - Intel Core 3
RAM - 8GB
Storage - 128GB
This version of the Lenovo Chromebook Plus offers an impressive amount of power for the price. It includes 8GB of RAM and an Intel Core 3 processor, boosting performance, boot times and load times. Storage of 128GB is a bit miserly for the price, but battery life is solid at up to 10 hours on a single charge. That's more than enough to last a full working day. At a little under $400, it's a smart buy for school or college, or just as a home laptop for light use and everyday tasks.View Deal
Display: 14 inches
Processor: Intel Core Ultra 5
RAM: 16GB
Storage: 512GB
This Acer Aspire 14 is a little old, but it offers good value for money if you need a capable all-around laptop. An Intel Core Ultra 5, 16GB of RAM, and a 512GB SSD are about what you'd expect for this price, giving you enough power to multitask between work and general everyday use. At 14 inches, too, it's a good portable size to take with you to the office, classes, or a coffee shop.View Deal
Display - 15.6 inches
Processor - AMD Ryzen 7
RAM - 16GB
Storage - 1TB
If you have a good amount of cash to spend, I'd recommend picking up this older but still very capable Dell 15 Laptop. It offers significant improvements to key components by upgrading to an AMD Ryzen 7 processor, 16GB of RAM, and a large 1TB SSD. That'll get you a lot more power and performance for your money, making this a solid all-around device for general use, work, video calls and multitasking, without the threat of significant slowdown.View Deal
Display: 13 inches
Processor: A18 Pro
RAM: 8GB
Storage: 256GB
The MacBook Neo just got a price bump, but students can get it cheaper again thanks to Apple's education discount. The latest MacBook packs a 13-inch Liquid Retina display, an A18 Pro chip, 8GB of RAM, 256GB of storage, and up to 16 hours of battery life, all for under $600, which is fantastic value. Discounts have been better in the past, but I think these will be rarer to see over the coming months and this price likely won't be beaten over Black Friday.View Deal
Display - 13.4 inches
Processor - Intel Core 5
RAM - 8GB
Storage - 512GB
The Dell XPS 13 has regularly been one of our favorite laptops here at TechRadar, and this brand-new version continues that trend. With an Intel Core 5 processor, 8GB of RAM and a 512GB SSD, it has everything you need for solid all-around performance at work or college. Students can also save an extra $100, bringing the price down to a ridiculously low $599.View Deal
Display - 16 inches
Processor - Intel Core Ultra 7
RAM - 16GB
Storage - 512GB
One of Samsung's latest premium laptops just got its biggest discount yet at Best Buy. While similarly powered devices can be picked up for less, you do get a gorgeous 16-inch IPS LED screen with smooth and responsive 120Hz support with this Galaxy Book6. It's powerful elsewhere, too, with an excellent battery life of up to 24 hours, making it a great pick for college, work, and productivity needs.View Deal
UK laptop dealsDisplay: 14 inches
Processor: MediaTek Kompanio 520
RAM: 8GB
Storage: 128GB
This version of the Lenovo Chromebook offers a solid amount of power for the price. It includes a very basic MediaTek Kompanio 520 processor, but you do get 8GB of RAM to boost performance, boot times, and load times. There's also 128GB of storage and battery life is good at around 13 hours on a single charge. That's more than enough to last a full day. At under £200, it's a bargain for school or college, or as a home laptop for light use and everyday tasks.View Deal
Display - 11 inches
Processor - MediaTek Kompanio 838
RAM - 4GB
Storage - 128GB
The Lenovo Chromebook Duet is a flexible 11-inch laptop and it's now available for a great price following this discount. In our very positive Lenovo Chromebook Duet review, we thought it offered an excellent balance between tablet portability and Chromebook flexibility. This version is a basic model with 4GB of RAM and 128GB of storage, so it's best for light use or school. However, the day-long battery life is a huge boost for those who are always on the go. View Deal
Display - 15.3 inches
Processor - Intel Core i3
RAM - 8GB
Storage - 256GB
If you want a good value Windows laptop, then this configuration of the Lenovo IdeaPad Slim 3 is a strong buy. It features an Intel i3 processor, 8GB of RAM and a 256GB SSD to ensure good performance for general use and an average amount of speedy storage for the price. It's a top buy right now if you're on a budget and need a basic laptop for everyday use, college, admin tasks and light work.View Deal
Display - 15.3 inches
Processor - Snapdragon X
RAM - 16GB
Storage - 512GB
This is a great price for a relatively modern laptop that comes with a well-performing and efficient Snapdragon X CPU. On top of that, you get 16GB of RAM, a 512GB SSD, and excellent battery life that will easily last a full workday, and more, on a single charge. I think it represents good value for money overall if you need a capable, all-around, everyday machine.View Deal
Display - 15.6 inches
Processor - Intel Core i5
RAM - 16GB
Storage - 512GB
Here's a solid and affordable Windows laptop available at Currys. It's an older machine, but there's no denying it's a solid entry-level choice for the price, including an Intel Core i5 CPU, 16GB of RAM, and a 512GB SSD for storage. It's a great buy if you want a good laptop with decent battery life for everyday use, work, or school.View Deal
Display: 14 inch OLED
Processor: Intel Core Ultra 5
RAM: 16GB
Storage: 512GB
If display quality is just as important to you as power, then strongly consider this Lenovo Yoga deal at Currys. It comes with a top-end OLED screen that offers a clear and sharp image – whether you're working on documents or streaming your favourite TV shows. Specs are solid elsewhere, too, including a capable Intel Core Ultra 5 CPU and 16GB of RAM that ensure good overall performance.View Deal
Display: 13 inches
Processor: A18 Pro
RAM: 8GB
Storage: 512GB
The MacBook Neo just got a price bump, but Amazon has just brought it back down again. The latest MacBook packs a 13-inch Liquid Retina display, an A18 Pro chip, 8GB of RAM, 512GB of storage, and up to 16 hours of battery life, all for under £700, which is fantastic value. Discounts have been better in the past, but I think these will be rarer to see over the coming months and this price won't be beaten until Black Friday.View Deal
Display - 16 inches
Processor - Snapdragon X Elite
RAM - 16GB
Storage - 512TB
It's an older model now, but this Samsung Galaxy Book4 is great value for money following a £1,000 discount at EE. Even though it's a little dated, it's still powered by an impressive and efficient Snapdragon X Elite processor and 16GB of RAM. A 512GB SSD feels a little stingy at this price, but it's still enough for all of your essential files and applications. You also get the benefit of a 2-in-1 display that you can flip around to use in tablet mode.View Deal
Display - 13.4 inches
Processor - Intel Core 5
RAM - 8GB
Storage - 512GB
The Dell XPS 13 has regularly been one of our favorite laptops here at TechRadar, and this brand-new version continues that trend. With an Intel Core 5 processor, 8GB of RAM and a 512GB SSD, it has everything you need for solid all-around performance at work or college. Students can also save an extra £200, bringing the price down to a ridiculously low £699.View Deal
Many organizations believe they are successfully leveraging AI tools to strengthen their security posture.
Investment is rising, AI is being embedded across multiple workloads and workflows, and governance frameworks continue to expand, giving the impression on the surface that progress is being made.
But beneath this AI adoption lies an unseen problem: a growing gap between what organizations believe about their infrastructure security, and what they can actually evidence.
Confidence is rising, but so are breachesAccording to a global 2026 Hybrid Cloud Security Survey, which gathered the views of more than 1,000 Security and IT leaders, 93 percent have invested in new security technologies, yet despite this, breach rates have hit their highest point. Sixty-five per cent of organizations experienced a data breach in the past 12 months, an 18 percent rise year on year, and a near 40 percent rise over three years.
These worrying statistics are starting to ring alarm bells, highlighting that within organizations we are starting to see an ‘illusion of security’ creeping in. Organizations are investing heavily in security tools, yet still seem to lack clear visibility into the outcomes of their investments. In other words, leaving security to be measured by what has been implemented, rather than what can actually be verified.
A perfect storm of conditions has brought us to this point: AI adoption has scaled faster than governance and security teams can keep pace with, and hybrid cloud has added another dimension of complexity that few organizations have fully reckoned with.
AI is now embedded across enterprise environments, accelerating not just how organizations operate, but how risk moves through them. As adoption has outpaced oversight, the consequences are starting to surface, with nearly half of organizations surveyed reporting a rise in AI-related insider threats, including data leaks, and unsanctioned use (shadow AI). Perhaps surprisingly confidence hasn't reduced. Many organizations continue to classify their AI security posture as "defined" or "integrated," despite evidence portraying a radically different story.
That confidence often rests on assumptions, and the scale of the disconnect is striking; AI is now involved in 83 percent of security incidents, spanning external attacks, internal exposures, and direct targeting of AI systems. As threats move faster across increasingly fragmented and distributed environments, assumptions about what’s secure quickly fall apart and without clear visibility into how data moves and systems behave, organizations cannot reliably manage risk.
The warning signsNo single indicator reveals a false sense of AI security, but several recurring patterns make it obvious.
The first is investment without impact. Many organizations are expanding their security stacks, yet detection and response times are still moving in the wrong direction. More than 40 percent report that it now takes longer to detect and investigate breaches than it did previously, and that's not a coincidence.
When signals are spread across systems that don't connect, teams spend longer piecing together what happened rather than acting on it. Adding tools without improving visibility doesn't create more clarity. It creates more data, and more data without context is just more noise to wade through not to mention more false positives and perhaps even worse more false negatives.
The second is an inability to trace incidents back to their source. More than one in four organizations cannot determine the root cause of a breach, which means incidents are being closed out without fully understanding how they happened. The consequences are predictable: nearly one-third of organizations report multiple incidents within the same year. Without traceability, there is no learning, and without learning, the same gaps simply get exploited again.
The third is the visibility gap opening in AI-driven environments. With nearly three-quarters of organizations reporting limited visibility into AI-driven data flows, which span APIs, models, cloud services, and distributed infrastructure that is dynamic by design and doesn't map cleanly onto traditional monitoring approaches. Security teams can often see that something happened, but simply can’t get to the how or the why. That gap between knowing an incident occurred and understanding it, is exactly where the illusion lives.
Moving from illusion to evidenceIn response to growing complexity, organizations are collecting more telemetry than ever; metrics, events, logs and traces (MELT data), but more data does not necessarily equate to better understanding. These signals each offer only a partial view: one measures performance, another records activity, other flags issues after the fact.
None of them, on their own, are able to explain how systems behave as a whole. What’s missing is the connective tissue, the context that shows how these signals relate, how one event triggers another, and how issues propagate across the environment. Without that, organizations aren’t gaining insight; they’re just accumulating noise.
Shattering the AI ‘security illusion’ requires a shift from reactive security to proactive monitoring and real-time observation of how systems behave. Security leaders agree, with more than 90 percent of organizations reporting that complete visibility across data in motion is critical to their successful security outcomes.
This is where network-derived telemetry becomes essential. Unlike logs, which show what systems say they’re doing, network telemetry proves what is happening: how data moves, how systems interact, and how threats develop. It's the shift from assumption to evidence and then proof, and it's the only foundation solid enough to build real security on. The network is the source of truth for today’s security teams.
AI security must be measured, not assumedAI is reshaping the threat landscape, enabling faster, more adaptive attacks while increasing the complexity of enterprise environments. But defenders are not without their own advantages.
The same technologies fueling attacks are already supporting security teams, automating detection, accelerating response, and investment in these capabilities continues to grow.
But let there be no mistake: investment is not proof. Security must be measured by the ability to observe, understand, and validate what is actually happening across the environment.
In the age of AI, the real risk is not organizations underinvesting in security, but the belief that they are secure without the evidence to prove it.
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The timing couldn’t be worse for Google; just as its slew of new devices launches, including the Google Pixel Watch 5, complaints about the Google Health app and its premium AI Health Coach are reaching fever pitch.
One Fitbit user who posted to Reddit saying that their device’s Google Health app had created a workout summary that seemed to be completely made up, stating “I have a Fitbit Inspire, it just does not have the capability to do form analysis. All of these stats are made up.” .
They’re far from the only person to complain about the app. The problem seems to lie with Google Health’s AI assistant. It's designed to summarize your health metrics and give you tips on how to improve — from early bedtimes to workout and diet suggestions — but users are noticing that it seems to be prone to hallucinating workouts that simply did not happen.
People have reported Google Health giving them “wildly incorrect” exercise numbers, mistaking walking or even folding laundry for swimming workouts, imagining 5am runs and house moves that never occurred, and more.
One person was even able to get Google Health to list all the false statements it had made regarding the user’s workouts, dubbing them “Nonstop lies from the AI.” As a commenter put it, “Imagine if a personal trainer lied to your face and then said: ‘Oopsie Daisy! I made those up.’”
And it’s not just limited to physical activity. Fitbit customers have taken to social media to protest that Google Health keeps asking how their cruise is going even though they’ve told the AI that it’s yet to occur. Another user took their Fitbit off for a couple of hours — with no heartbeat being recorded during that time — only to see that Google Health believed they’d been sleeping in that time.
“Fun fact: If someone is sleeping and their heartrate is 0, it’s called being dead,” the user dryly remarked.
‘A bit of a mess’(Image credit: Future)These users certainly aren’t alone in their annoyance. When we reviewed the Fitbit Air, we lamented that the design of its Google Health app was “a bit of a mess, and not intuitive to use, with features dotted all over the place.” While we found its AI integration to be useful, we noted that “its constant chirpy summaries and insistence on hiding my data inside walls of text became annoying.”
We reached out to Google with a list of questions about whether its Google Health app is hallucinating user workouts. We haven’t heard back yet, but will update this story when we do.
The situation has become so bad that some users have begun speculating that Google Health might be entirely coded by AI agents, such is its tendency to dream up data and produce anomalous behavior. While we have no way of knowing if that’s actually the case, it aptly demonstrates the level of user frustration with Google’s app.
Whatever the truth, it’s clear that something is going wrong with Google Health for a lot of users, and it’s leaving them exasperated and ending their AI subscriptions. It should serve as a warning to any company that wants to integrate AI and health data: with sensitive information like this, mistakes are rarely tolerated.