In an impressive and unique industry first that reflects the work Apple has done on mobile device security since the first iPhone arrived almost 20 years ago, the North Atlantic Treaty Organization (NATO) says iPhones and iPads running iOS 26 are secure enough to handle classified information in NATO-restricted environments — pretty much out-of-the-box.

That’s going to mean a great deal to military planners at the organization, who will now be much happier to use Apple’s devices to handle classified information up to NATO restricted level without any additional software or settings. This means the iPhone and iPad are the first (and only) consumer devices to have met the agency’s compliance standards.

It also means that, in general terms, the iPhone in our pocket is now seen as being sufficiently secure to handle some of the most classified information you can get — and if you regularly use your device to handle anything of greater importance, you can use Lockdown Mode.

NATO’s approval extends to handling that kind of information using standard Apple apps, including Mail, Calendar, and Contacts data. 

What Apple said

“This achievement recognizes that Apple has transformed how security is traditionally delivered,” said Ivan Krstić, Apple’s vice president of security engineering and architecture. “Prior to iPhone, secure devices were only available to sophisticated government and enterprise organizations after a massive investment in bespoke security solutions.

“Instead, Apple has built the most secure devices in the world for all its users, and those same protections are now uniquely certified under assurance requirements for NATO nations — unlike any other device in the industry.”

There are two caveats to recognize. The first is that NATO does require that devices handling this sort of data in these environments be managed devices implementing relevant policy controls on use; the second is that you absolutely need to have your devices protected by passcodes and/or biometric (Face/Touch) ID. 

The ramifications for enterprise users is significant. It implies that so long as you have effective policies in place (so no one uses an iPhone to take pictures of the confidential blueprints they then share with a competitor, for example), the device you get out the box is likely secure.

Security is in Apple’s DNA

The NATO approval builds on an earlier security success for the company: the devices were approved to handle classified German government data on hardware using native iOS and iPadOS security measures after an extensive evaluation by the Federal Office for Information Security (the Bundesamt für Sicherheit in der Informationstechnik, or BSI).

As part of that effort, BSI conducted a comprehensive series of assessments and tests, including deep security analysis, to make sure that the security capabilities Apple has already put in place were secure enough. This also led to the approval of these systems by NATO’s 32-member states.

“Secure digital transformation is only successful if information security is considered from the beginning in the development of mobile products,” said Claudia Plattner, BSI’s president. “Expanding on BSI’s rigorous audit of iOS and iPadOS platform and device security for use in classified German information environments, we are pleased to confirm the compliance under NATO nations’ assurance requirements.”

Security is, of course, in Apple’s DNA, which is why it designs it in at the core of its products. As proof, Apple can point to years of work on security, during which it has been led by the idea that security protections should be focused on users, deeply integrated, and available across its ecosystem. 

That work led, for example, to the invention of the Secure Enclave on Apple processors, which does a much to ensure device security. (That’s also why everyone using one of these devices should ensure they use a super-tough password and enable biometric ID.) In truth, Apple device security rests on a complex web of layered, integrated protections, from Secure Boot to Memory Integrity Enforcement (now also on M5 Macs) and beyond. 

In more general terms, this means that any user, even those who aren’t relying on managed devices and don’t work for NATO, can expect high security for the data on their device. That’s the case as long as they only use apps distributed by the App Store, refuse to use random configuration profiles downloaded for whatever reason from the ‘net, have device protection enabled, and use a tough-to-guess passcode.  

More details about Apple’s security protections are available in the Apple Platform Security guide.

Please follow me on Twitter, or join me in the AppleHolic’s bar & grill and Apple Discussions groups on MeWe. Also, now on Mastodon.

Source:: Computer World

ServiceNow plans to unleash the first member of its Autonomous Workforce, the Level 1 Service Desk AI specialist, next quarter.

The agent will autonomously diagnose and resolve common IT support requests such as password resets, provisioning of software access, and network troubleshooting. It will base its actions on information from enterprise knowledge bases, historical incident data, and defined workflows, and will be available 24/7, freeing humans to work on more strategic tasks as the agent executes mundane tasks with the scope, authority, and governance required for enterprise work, the company said.

ServiceNow is already using the agent internally, and claims that it is handling more than 90% of employee requests, and is almost twice as fast as human agents in performing these tasks, while still maintaining the necessary business context and governance required by an enterprise.

ServiceNow AI specialists like the Level 1 Service Desk agent are designed to work alongside humans, operating within a clearly defined scope governed by the same permissions that a human agent in that role would have.

“AI specialists, by default, cannot exceed their authority nor self-escalate permissions in memory based on the outcomes of reasoning that occurred during the first step of the AI powered decision and execution flow,” said John Aisien, SVP central product management at ServiceNow, during a media briefing. “Instead, these AI specialists ground decisions in live enterprise data, drawing in real time information about assets, access, ownership, real time permissions, and previous resolution patterns through our enterprise data foundation and our context graph.”

By combining probabilistic intelligence with deterministic workflow orchestration, ServiceNow said, the AI specialists can interpret requests, use business context to determine the right action to take, and execute that action while being overseen by ServiceNow’s AI Control Tower. They then notify the affected employee and update the knowledge base. And if they can’t resolve the issue, they pass it on to a Level 2 or Level 3 human agent for further investigation.

This is different to the historical approach. For the last two years, said Greyhound Research Chief Analyst Sanchit Vir Gogia, most vendors have competed on interface intelligence, with copilots summarizing, suggesting, and predicting. But, he said, “that phase is now saturated. What enterprises are evaluating in 2026 is whether AI can operate as a governed execution layer inside production workflows. Autonomous Workforce signals that ServiceNow understands this shift.”

This, he said, is architecturally meaningful: “AI … is being structured as a delegated participant in defined job roles. That changes accountability,” he said. “This is why ServiceNow’s emphasis on deterministic workflow orchestration is strategically aligned with enterprise demand. Models are probabilistic by design. Enterprises require outcomes that are predictable, auditable, and bound by policy.”

ServiceNow, however, didn’t say who would be accountable if one of its AI specialists went off the rails.

EmployeeWorks

ServiceNow also announced EmployeeWorks, available today, which it calls “a conversational front door to the enterprise.” It works as a personal assistant, pulling together conversational AI and enterprise search from Moveworks, which ServiceNow recently acquired, and from ServiceNow’s own unified portal and autonomous workflows, said Bhavin Shah, founding CEO of Moveworks and now general manager for Moveworks and AI at ServiceNow.

“Employees don’t need to know what agent to invoke, or where to go, or ask ‘should I use this system or that system?’” he said. “It just works.” The service supports protocols such as MCP and A2A to enable a “secure, scalable coordination between agents and business systems,” he said.

EmployeeWorks understands organizational structure, approvals, and authorization so it can execute tasks that require multi-system coordination, ServiceNow said, yet it can still maintain governance and audit trails. It can, for example, pull information from a document in SharePoint, then reference a Slack thread and pull together the information to create an action, or it can route and handle approvals, orchestrate workflows, or update systems, all while following enterprise policies.

Shah said EmployeeWorks is vendor-agnostic, can answer employee questions without them needing to switch to a different tool, and provides out-of-the-box integration and enterprise search.

Reservations about automations

Analysts approved of ServiceNow’s overall direction, but have reservations about the announcements.

Moveworks’ built-in governance mechanisms sound “amazing,” said Info-Tech Research Group Advisory Fellow Scott Bickley, but implementing EmployeeWorks will need considerable groundwork, including documenting workflows, updating knowledge bases, cleaning data and defining approval paths, with limitations and exceptions in place to cover all possibilities.

Gogia agreed. “ServiceNow is moving in the right direction because it is anchoring AI inside workflow control,” he said. “However, correctness of direction does not guarantee maturity of execution. The credibility of this strategy will be measured in regulated, exception-heavy, cross-system environments, not in idealized service desk queues.”

Moor Insights & Strategy Principal Analyst Melody Brue said, “the concern is that AI agents could become a new layer that routes around many of the apps people use today. ServiceNow aims to sit above that, coordinating agents and workflows across systems rather than just being another tool they might end up replacing.”

It’s no longer enough for AI to drive incremental efficiency, she said. Now, “it must help unlock value trapped in enterprise data and workflows. By tying AI into systems of record and orchestrated workflows, ServiceNow aims to move from static reports to agents that act on insights.”

Gogia takes it as a given that enterprises will adopt autonomous AI. The key question, he said, is whether they can govern it without destabilizing operational trust.

Another concern, said Bickley, is how enterprises will pay for it all. SaaS vendors each charge for AI services using their own variety of usage-based “AI credits”, but it’s difficult to accurately model and predict consumption of AI credits in a way that permits accurate budget forecasting, he said.

“There needs to be a clear path for legacy seat subscriptions to be migrated into AI credits,” Bickley said. “CFOs will not tolerate a variable pricing model that destroys budget predictability, and this pain point seems to go unaddressed by ServiceNow, and for that matter, the broader SaaS ecosystem as they double down on their aggressive AI launch initiatives.”

This article first appeared on CIO.com.

Source:: Computer World

By Hisan Kidwai ASUS gaming laptops have been the cream of the crop for some time now, as evidenced…
The post ASUS 2026 Creator Series Launched: ProArt GoPro Edition, ROG Flow Z13-KJP, TUF A14 appeared first on Fossbytes.

Source:: Fossbytes

By Deepti Pathak Instagram is widely used for sharing photos, videos, and Reels. Many people check others’ profiles out…
The post Can You See Who Views Your Instagram Profile? appeared first on Fossbytes.

Source:: Fossbytes

The US government has ordered its diplomats to actively oppose other countries’ attempts to introduce so-called data sovereignty laws that restrict how and where foreign technology companies can store and handle citizens’ data, according to Reuters.

In an internal memo from Secretary of State Marco Rubio, the US describes such rules as a threat to free data flows, AI development, and cloud services. The Trump Administration believes that data localization could increase costs, create cybersecurity risks, and give governments greater control over information.

At the same time, support for data sovereignty is growing, especially in Europe, where there are concerns about privacy, surveillance, and US dominance in AI and tech. The EU’s GDPR is mentioned in the document as an example of rules that the US considers unnecessarily restrictive.

Diplomats have now been tasked with monitoring and influencing international proposals that restrict cross-border data flows, as well as promoting alternative frameworks that support the free transfer of data between countries.

Source:: Computer World

A growing rift between the US Department of Defense (DoD) and Anthropic over how AI can be used by the military has led to Defense Secretary Pete Hegseth issuing a blunt ultimatum: work with us on our terms or risk being banned from Pentagon programs.

According to news site Axios, Hegseth gave Anthropic until Friday, February 27 to agree to its terms during a tense meeting this week. If no agreement is reached, the company would risk being deemed a “supply chain risk,” with Hegseth even threatening to invoke the Cold War-era Defense Production Act to compel cooperation, the report said.

The DoD’s view is that it should be free to use Anthropic’s AI for “all lawful purposes,” regardless of ethical boundaries set by the company itself. Anthropic, by contrast, wants to set narrower guardrails.

“The Department of War’s [DoD’s] relationship with Anthropic is being reviewed. Our nation requires that our partners be willing to help our warfighters win in any fight. Ultimately, this is about our troops and the safety of the American people,” Chief Pentagon Spokesman Sean Parnell told Semafor last week.

The extraordinary stand-off appears to have been prompted by a series of conversations between Anthropic and DoD officials which have generated rising levels of friction. These include a report that Anthropic CEO Dario Amodei had insisted that the DoD respect limits the company had placed on how its AI could be used in certain military contexts.

Matters came to a head in early January when the US military used Anthropic’s Claude LLM in conjunction with technology from Palantir to help plan and execute the operation to capture former Venezuelan president, Nicolás Maduro.

Anthropic staff are believed to have raised questions internally about whether an operation in which dozens of people were killed was consistent with the guardrails set for Claude as part of its recently overhauled safety and ethics Constitution.

Despite this, the fine details of Anthropic’s limits aren’t always clear. Some restrictions are referred to in its September 2025 Acceptable Use Policy (AUP), for example, that it not be used for mass domestic surveillance, to compromise critical infrastructure, or to design or develop weapons.

Beyond that, Amodei himself has alluded to limits in statements and essays or through reported conversations with officials modelling hypothetical situations. This includes his recent call for more regulation of AI: “I think I’m deeply uncomfortable with these decisions [on AI] being made by a few companies, by a few people,” Amodei told the CBS News TV newsmagazine 60 Minutes in November. “And this is one reason why I’ve always advocated for responsible and thoughtful regulation of the technology.”

Supply chain implications

If Hegseth were to make good on the threat to ban Anthropic, this would have major implications for the DoD and its long supply chain. In principle, companies that are part of the broader Defense Industrial Base (DIB) would have to stop using Anthropic’s AI platform in all its forms, including, presumably, the Claude Code Security cyber system launched only this week.

This seems highly unlikely. Banning a US company would be unprecedented; such an action was previously reserved for a small number of foreign companies. Anthropic is also currently one of only two frontier AI models that has achieved Impact Level 6 (IL6) certification for use on classified networks, having been joined only this week by xAI’s Grok.

Ripping Anthropic out altogether is unthinkable, not in the least because it is already tightly integrated with Palantir’s systems, which are also critical to the DoD. More likely, the DoD will simply compel Anthropic to concede ground by invoking the Defense Production Act, the downside of which being that this might sour cooperation in the longer run.

Alternatively, Anthropic will continue to insist on some limits, such as, for example, around using Claude to enable autonomous weapons, while the DoD will simply act as though they will be relaxed at some future point, allowing for an uneasy short-term truce.

The DoD versus Anthropic conflict echoes the confrontation between the FBI and Apple more than a decade ago over access to iPhones after the 2015 San Bernardino mass shooting. In that event, Apple refused to give ground, resulting in a long-running legal struggle. The current US administration seems less willing to be patient.

This article originally appeared on CIO.com.

Source:: Computer World

By Hisan Kidwai OPPO has started rolling out its February 2026 update for ColorOS 16, bringing the PopOut feature…
The post ColorOS 16 February Update Brings PopOut Feature to More OPPO Devices appeared first on Fossbytes.

Source:: Fossbytes

By Rachit Agarwal Oura announced its first proprietary AI model delivering personalized women’s health guidance using biometric data and clinician-reviewed medical research.
The post Oura’s smart ring AI promises more personalized women’s health support appeared first on Digital Trends.

Source:: Digital Trends

By Paulo Vargas A new Android app called Nearby Glasses alerts you when someone wearing smart glasses like the Meta Ray-Bans is nearby by scanning for their Bluetooth signals.
The post Godsend app alerts you of smart glasses that might be secretly recording you appeared first on Digital Trends.

Source:: Digital Trends

By Ana-Maria Stanciuc On March 8, 2026, in honour of International Women’s Day, a new edition of SheBuilds on Lovable invited builders from around the world to a 24-hour global, powered by Anthropic. On top of that, participants in the SheBuilds campaign receive $100 in Anthropic API credits and $250 in Stripe fee credits to kickstart their builds […] This story continues at The Next Web

Source:: The Next Web

By Hisan Kidwai Word guessing games like Wordle have exploded in popularity recently, simply because they are fun and…
The post Contexto Hints & Answers for Today: February 25 appeared first on Fossbytes.

Source:: Fossbytes

By Moinak Pal Google has added standalone earthquake alerts to Wear OS, allowing smartwatches to warn users over Wi-Fi or data even when not paired to a phone.
The post Wear OS smartwatches can now deliver earthquake alerts even without a phone appeared first on Digital Trends.

Source:: Digital Trends

Illustrating the extent to which it is willing to work with the Trump Administration — and as President Donald J. Trump prepares for tonight’s State of the Union address — Apple now says it will begin to make Mac minis in Houston later this year. The Macs will be made at the same factory where the company now makes server chips.

 “Apple is deeply committed to the future of American manufacturing, and we’re proud to significantly expand our footprint in Houston with the production of Mac mini starting later this year,” said Apple CEO Tim Cook. “We began shipping advanced AI servers from Houston ahead of schedule, and we’re excited to accelerate that work even further.”

Supporting its own announcement, Apple Chief Operating Officer Sabih Khan also shared the promise during an interview with the Wall Street Journal. “We’re very excited to tell you that later this year we will be beginning Mac mini manufacturing right here in this space,” he said.

Khan suggested the new factory will churn out “thousands” of Macs each week.

Apple’s US manufacturing expansion

This decision means Mac mini now becomes the second modern Apple PC to be manufactured in the US, alongside the Mac Pro. The company also makes servers for Private Cloud Compute at the same facility, and intends to expand advanced AI server manufacturing there.

To some extent, the hardware Apple chooses to make in the US likely reflects the complexity and production volume demands of those products. In some cases, Apple cannot make the product because it can’t yet source enough of the highly-skilled people it needs to do so. To solve that problem, Apple is currently investing more than $600 billion, including the creation of an Academy in Detroit. The company is also launching a huge, 20,000-foot advanced manufacturing skills training center near the new Mac mini factory. 

“The dedicated facility will provide hands-on training in advanced manufacturing techniques to students, supplier employees, and American businesses of all sizes,” Apple said.

Creating opportunity in manufacturing

Apple’s US investment plan includes directly hiring 20,000 people over four years, with a focus on R&D, silicon engineering, software development, and AI. Apple has particularly focused its job-reshoring efforts on such high-tech, high-value tasks and revealed it has now sourced more than 20 billion US-made chips from 24 factories across the US for use in its products. 

Third-party partners are all aboard: GlobalWafers has begun production at its new $4 billion bare silicon wafer facility in Sherman, TX. Apple will also purchase 100 million advanced chips produced by TSMC at its new Arizona facility this year.

Each of these investments creates new employment opportunities for US workers, while also protecting some of the highest value components used in Apple devices from tariffs. Every job counts, of course, given that US job creation has slowed to around 15,000 new jobs a month. In that context, the additional employment Apple provides means a lot — particularly as we all now anticipate wide-scale replacement and displacement  of many human employees with smart machines.

Tariffs and their impact

Apple’s promise to bring Mac mini production to the US might or might not be enough to persuade the US government to spare it from some of the tariffs put in place since the courts rejected the earlier tranche. Just like every other enterprise, company leaders will certainly hope for better business stability; Apple has paid more than $3 billion in tariffs since 2025 at a rate of around $1 billion a quarter.

While the truth about these added taxes is that consumers end up paying them on the products they buy, they also create instability and impose pressure on profitability across the entire supply chain, which is bad for business.

Many US brands have leaned on their manufacturing partners to take a haircut on price in order to sustain these tariffs while keeping existing prices, and there’s little reason to think Apple hasn’t done the same thing. That may be fine in the short term, but in the medium/long term, reducing profitability at key suppliers puts their business at risk. This creates a chain of events in which key suppliers cease trading, leaving US companies gasping and grasping for replacements in what becomes a seller’s market.

No matter how challenging the seas become, Apple must navigate them somehow; its current compliance shows it is attempting to do just that, even as it prepares for a changing of the guard of its leadership class. Who and what will the company be tomorrow?

Please follow me on Twitter, or join me in the AppleHolic’s bar & grill and Apple Discussions groups on MeWe. Also, now on Mastodon.

Source:: Computer World

For the first time, AWS has confirmed that one of its AI systems did indeed delete and recreate one of its environments in December, shutting down part of that service for about 13 hours. What happened behind the scenes — including an aggressive AWS statement against the media outlet that initially reported the issue — is far more interesting. 

For IT, this raises questions of how users need to interact with AI systems. AI tools and service have today so effectively mastered natural language that people can forget there isn’t a human involved. That can include approving an AI action without insisting on more details.

Consider a human driver inside a self-driving vehicle, such as a Tesla with “full self-driving.” Let’s say the car is driving down a highway at 65 MPH and going around a curve. But instead of following the curve, the vehicle drives straight, plunges through a guardrail — and the car and passenger drop a few hundred feet to their demise. 

In theory, the human driver is in charge and can take back driving control at any point. But if the incident happens with no warning, the driver won’t likely have the half-second needed to resume control in time. Is that the vehicle AI’s fault or is the human to blame for not taking over? 

You could make a legitimate argument that it was absolutely the human’s fault because they never should have trusted the self-driving tech in the first place. 

That brings us to the current state of IT decisions and AI, which in turn brings us back to the December AWS disaster. 

The back-story was broken by the Financial Times, which reported the 13-hour outage was caused by a Kiro agentic coding system that decided to improve operations by deleting and then recreating a key environment. 

AWS on Friday shot back to flag what it dubbed “inaccuracies” in the FT story. “The brief service interruption they reported on was the result of user error — specifically misconfigured access controls — not AI as the story claims,” AWS said. 

To quote Obi-Wan Kenobi, “So, what I told you was true…from a certain point of view. Luke, you’re going to find that many of the truths we cling to depend greatly on our own point of view.” The more we look into the particulars of the December incident, the more user error doesn’t mean what the company is suggesting it means. 

AWS continued: “The disruption was an extremely limited event last December affecting a single service (AWS Cost Explorer—which helps customers visualize, understand, and manage AWS costs and usage over time) in one of our 39 Geographic Regions around the world. It did not impact compute, storage, database, AI technologies, or any other of the hundreds of services that we run.” 

That much seems true. It’s also a classic misdirection. The company conveniently forgot to confirm that the point of the story — that the system decided to delete and recreate an environment — was correct. 

“The issue stemmed from a misconfigured role — the same issue that could occur with any developer tool (AI powered or not) or manual action.” That’s an impressively narrow interpretation of what happened.AWS then promised it won’t do it again. “We implemented numerous safeguards to prevent this from happening again — not because the event had a big impact (it didn’t), but because we insist on learning from our operational experience to improve our security and resilience. Additional safeguards include mandatory peer review for production access. While operational incidents involving misconfigured access controls can occur with any developer tool — AI-powered or not — we think it is important to learn from these experiences. The Financial Times‘ claim that a second event impacted AWS is entirely false.”

As for the AWS statement, the hyperscaler doth protest too much, methinks. 

This is a critical issue for a few reasons. First, AWS is hardly the first AI firm shouting “user error” when their systems misbehave. Secondly, this is part of a disconcerting trend of AI systems overreaching or even flatly ignoring human instructions. 

In an emailed comment, AWS added that, “Kiro puts developers in control — users need to configure which actions Kiro can take, and by default, Kiro requests authorization before taking any action. In this case, an engineer was using a role with broader permissions than expected — a user access control issue, not an AI autonomy issue. The issue stemmed from a misconfigured role — the same issue that could occur with any developer tool or manual action.”

In an interview ,an AWS spokesperson argued that the user error was not the approved system request, but that the AWS engineer apparently misunderstood what their own level of privilege was. “The human was confused by what privileges that they had. They thought that they had narrower privileges than they actually had,” the AWS spokesperson said. 

This becomes relevant because most agentic systems, and Kiro is one of them, have the same privileges as the human they’re working with. The AWS argument is that the engineer might have been more careful or somehow acted differently had he or she understood the high level of privilege the agent had been granted.

The key detail missing — which AWS would not clarify — is just what was asked and how the engineer replied. Had the engineer been asked by Kiro “I would like to delete and then recreate this environment. May I proceed?” and the engineer replied, “By all means. Please do so,” that would have been user error. But that seems highly unlikely.

The more likely scenario is that the system asked something along the lines of “Do you want me to clean up and make this environment more efficient and faster?” Did the engineer say “Sure” or did the engineer respond, “Please list every single change you are proposing along with the likely result and the worst-case scenario result. Once I review that list, I will be able to make a decision.”

That gets into a key IT issue: Do we need training on how to interact with AI? If an employee starts answering AI tools as if they were human, problems will materialize. AI systems seem smart, but they do not process data as humans do. 

Recently, an AWS executive posted about a glitch involving an AI system that was trying to replicate registration forms. It looked at fields such as username and password and saw that the system only permitted one user to have that exact string of characters. The AI extrapolated from that and started rejecting users if they were the same age, with the notice “user with this age already exists.”

It’s like a civil service employee who memorized a rule but never asked the point of the rule. Without knowing that context, that employee can’t make a rational decision about when the rule should be waived.

Like the car driver who went over the cliff, the smartest decision is to not use any autonomous AI system at all. But given that it seems all-but-unavoidable today, the second-best option is to insist that employees demand to know precisely what they are being asked to approve. 

That may not eliminate AI disasters, but it will hopefully slow them down.

Source:: Computer World

By Ana-Maria Stanciuc Nvidia has become shorthand for the AI market itself. In the years since generative models reshaped computing, the company’s GPUs have powered everything from large-scale training clusters to real-time inference infrastructure. That dominance helped Nvidia’s stock surge over 1,500 percent from 2022 into 2025 and made it one of the most valuable tech firms in […] This story continues at The Next Web

Source:: The Next Web

By Ana-Maria Stanciuc The UK government announced new regulatory requirements that will bring major video-on-demand (VoD) platforms under tighter oversight by Ofcom, aligning them more closely with traditional television broadcasters. The changes are part of implementing the Media Act 2024 and mark one of the most significant shifts in how online streaming services are governed in the UK. […] This story continues at The Next Web

Source:: The Next Web

By Hisan Kidwai It’s not even been a week since vivo introduced the new V70 series, which, btw, I…
The post vivo V70 FE Leak Reveals 200MP Camera and 7,000mAh Battery appeared first on Fossbytes.

Source:: Fossbytes

By Deepti Pathak Instagram is one of the most used social media apps today. People share photos, videos, and…
The post How To Check Who Shared Your Instagram Post & Reels? appeared first on Fossbytes.

Source:: Fossbytes

By Pranob Mehrotra Honor is jumping on the humanoid robot bandwagon and will showcase its offering at MWC alongside the Robot Phone and the Magic V6.
The post Honor is bringing its first humanoid robot to MWC, and it could help you shop appeared first on Digital Trends.

Source:: Digital Trends

By Shikhar Mehrotra Galaxy Buds 4 Pro may gain head gestures, camera remote functionality, and a physical find-my-phone shortcut, though both models reportedly miss out on case speakers.
The post Samsung leak drops info on a whole bunch of feature upgrades on Galaxy Buds 4 appeared first on Digital Trends.

Source:: Digital Trends