A new study from AI security provider CalypsoAI reveals a “growing use and misuse of AI” within US organizations by employees at all levels, including C-suite executives.

Of note, it said, “half (50%) of executives say they’d prefer AI managers over a human, although 34% aren’t entirely sure they can tell the difference between an AI agent and a real employee. Over a third of business leaders (38%) admit they don’t know what an AI agent is — the highest of any role. Almost the same proportion (35%) of C-suite executives said they have submitted proprietary company information so AI could complete a task for them.”

Those findings and others are contained in the firm’s study, The Insider AI Threat Report, which states, “hidden reality inside today’s enterprises: employees at every level are misusing AI tools, often without guilt, hesitation, or oversight.”

For many, it is fine to break rules

The survey of more than 1,000 US workers revealed that, overall, 45% of employees say they trust AI more than their co-workers, 52% of employees would use AI to make their job easier, even if it violates company policy, and 67% of executives say they’d use AI even if it breaks the rules.

The misuse, said the Dublin-based company in the release, even extends to “highly regulated industries” and includes:

60% of respondents from the finance industry admitting to violating AI rules, with an additional one-third saying they have used AI to access restricted data.

42% of employees in the security industry knowingly using AI against policy, and 58% saying they trust AI more than they do their co-workers.

A mere 55% of workers in the healthcare industry following their organization’s AI policy, and 27% saying they “would rather report to [AI] than a human supervisor.”

Asked what prompted the study, CalypsoAI CEO Donnchadh Casey said via email on Friday, “we wanted hard data on what is happening inside enterprises with AI adoption. External threats often get the attention, but the immediate and faster-growing risk is inside the building, with employees at all levels using AI without oversight. Our customers are already telling us they are seeing this risk grow. The research confirms it.”

‘Shadow AI now the new shadow IT’

He said his initial reaction to the findings as they began to pour in, especially when it comes to C-suite leaders’ habits with AI, was that it was surprising to see how quickly the C-suite is bypassing its own rules.

Senior leaders, said Casey, “should set the standard, yet many are leading the risky behavior. In some cases, they are adopting AI tools and agents for business tasks faster than the teams responsible for securing them can respond. Our customers see the same pattern across industries, which is why this is as much a leadership challenge as it is a governance challenge.”

Justin St-Maurice, technical counselor at Info-Tech Research Group, said, “Shadow AI has become the new shadow IT. Employees are using unsanctioned tools to get real work done because AI can deliver two things they actually feel: Cognitive offload takes the drudge work off of their plates, and cognitive augmentation is helping them to think, write, and analyze faster.”

CalypsoAI’s numbers, he said, “show how strong that pull is. Their data shows that more than half of workers say they would use AI even if their organization’s policy says no, a third have already used it on sensitive documents, and almost half of surveyed security teams admitted to having pasted proprietary material into public tools. I’m not sure it’s as much about disloyalty as it is about how governance and enablement lag behind how people work today.”

The risk here is clear, added St-Maurice, because every unmonitored prompt can lead to intellectual property, corporate strategies, sensitive contracts, or customer data leaking out to the public. “And naturally,” he noted, “if IT blocks these AI services, it’ll drive users further underground to look for new ways to access them. The practical fix is through structured enablement.”

A proper strategy, he said, is to provide a sanctioned AI gateway, connect it to identity, log prompts and outputs, apply redaction for sensitive fields, and publish a few clear and plain rules that people can remember. This should be paired with short, role-based training and a catalog of approved models and use cases. This gives employees a safe path to the same gains.

Casey agreed, noting that any solution geared toward correcting the problem of unauthorized AI use must address both people and technology.

“Many enterprises’ initial reaction is to block AI entirely, but this is counterproductive, as employees often circumvent rules to capture AI productivity gains,” he said. “A better approach is to give access to AI across the organization, but monitor and control this access to step in when behavior deviates from policy.”

This, he said, means organizations should have clear, enforceable policies paired with real-time controls that secure AI activity wherever it happens, which includes oversight of AI agents used for business tasks that can operate at scale and touch sensitive data.

“By securing AI where it is deployed and doing real work, enterprises can allow its use without losing visibility or control,” he said.

The survey was conducted in June by research firm Censuswide, who surveyed 1,002 full-time office workers in the US, aged 25-65.

Source:: Computer World

By Thomas Macaulay The subscription model beloved of software is now creeping into cars.  Volkswagen has become the latest automaker to adopt the pricing structure. The German marque has introduced a monthly subscription fee to access the full performance of some of its ID.3 electric vehicles. Auto Express spotted that the Volkswagen ID.3 Pro and Pro S were listed in the UK as producing 201bhp, but could hit 228bhp — if customers paid extra. For that extra 27bhp, buyers can pay £16.50 per month, £165 annually, or £649 for a lifetime subscription that transfers with the car if it’s resold. Volkswagen described the…This story continues at The Next Web

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By Hisan Kidwai Free Fire Max is one of the most popular games on the planet, and for good…
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The AI boom has created a record-breaking wave of new billionaires and high company valuations in the past year at a rate unprecedented in history, according to CNBC.

CB Insights reports there are now 498 AI “unicorns” (private companies worth at least $1 billion) with a combined value of $2.7 trillion — and 100 of them were founded after 2023. In total, more than 1,300 AI startups have been valued at $100 million or more.

Large rounds of capital for companies like Anthropic, OpenAI, Anysphere and Safe Superintelligence have created new paper fortunes, with several founders now multi-billionaires, at least on paper.

Unlike the dotcom era, many AI companies are staying private longer, thanks to constant capital injections from venture capitalists, sovereign wealth funds and private investors. Liquidity is instead created through secondary markets, takeovers, and mergers.

Not surprisingly, the phenomenon is heavily concentrated in the San Francisco area.

Source:: Computer World

Just in time to build up the late-summer Apple product refresh hype, news of a big collection of product upgrades has magically appeared as Cupertino puts the finishing touches to its iPhone keynote event invite.

To help Apple fans monitor the impact of the latest leaks on their blood oxygen levels, the company also helpfully reintroduced some support for oxygen tracking  at about the same time the latest leaks appeared. The speculation follows tantalizing promises from Apple CEO Tim Cook who in early August told an all-hands Apple employee meeting that he’d “never felt so much excitement’ about the products the company has planned.

“The product pipeline, which I can’t talk about — it’s amazing, guys. It’s amazing,” Cook said. “Some of it you’ll see soon, some of it will come later, but there’s a lot to see.”

So, what’s with the latest speculation?

Chips with everything

If the code is correct, Apple is about to breathe new life into numerous products with chip upgrades to make them more powerful. It also plans to introduce brand new product families, though the schedule for many of the following products is likely to extend into 2026. There’s exciting news across Apple’s product range:

iPods: Apple’s plotting a new iPad mini with the same high-end A19 Pro chip you’ll find inside iPhone 17 Pro models. Also, as it seeks to broaden its market to guard against economic unpredictability, Apple plans a spring launch for a new low-cost iPad equipped with an A18 chip, a big upgrade from the A16 inside the current entry-level model.

Vision Pro: As expected, Apple will put an M5 chip inside the Vision Pro.

Home: Apple’s new HomePod mini will hold an updated S-series chip, while Apple TV gains an A17 Pro processor — a substantial boost beyond the current A15 Bionic chip. It will likely need this power for those sofa-based Apple Intelligence interactions. It might also need this for the smart home it plans, including a Ring-competing security camera with movement and person detection, and its first attempts at home robotics. 

Mac: Not only do we now expect the first M5 Mac models and also a $599 MacBook, but the latest news claims Apple intends introducing a next-generation Studio Display 2. Code-named J427, this isn’t expected to debut until 2026. But the introduction of a new A19 Pro internal processor should make it capable of accurately handling modern and future video and audio codecs.

iPhone: In a chime of loud synchronicity, all these new product speculations come just in time to raise the temperature as Apple prepares to introduce the first of its new iPhone 17 range. They’re expected to bring more memory than ever, double the entry-level storage for a small price increase, and 8x optical zoom (on Pro models). Expect iPhone 17, iPhone 17 Air, iPhone 17 Pro, and iPhone 17 Pro Max models.

Apple Watch: Expect a third-generation Apple Watch Ultra, with a faster chip, larger display and 5G (including satellite messaging support); Apple Watch Series 11 gets a processor upgrade and the first Apple Watch SE upgrade since 2022.

AirPods and AirTags: Apple is also preparing upgrades to AirPods Pro and AirTags. The latter are expected to be more accurate and operate at longer range, while AirPods Pro 3 promise improved noise cancellation and advanced sleep and hearing health features.

Is that all there is?

This extensive collection of rumored product upgrades seems to provide a good glimpse at the next 12 months of planned introductions, but there are some things missing from the list. Apple will no doubt introduce new Macs and iPad Pro models during this time, even as it will at last introduce the contextually aware Apple Intelligence it promised us at WWDC last year.

The latter introduction will probably create opportunity for additional Apple products and services, including the company’s take on a digital health coach, integration between those health services and the company’s existing products, and the opportunity to develop additional solutions, such as health assistant robotics.

Even further out, we know Apple hopes to introduce glasses equipped with visionOS as well as its first-ever folding iPhone.

Apple clearly has a lot to talk about.

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Source:: Computer World

By Lena Hackelöer There’s no doubt that Europe has ambition. Over the last decade, we’ve laid the foundation for a thriving digital economy, from regulatory leadership to tech-driven reforms and rapidly growing regional hubs. But infrastructure alone doesn’t build the future; people do. And today, we face the very human challenge of how to win — and retain — the talent that powers innovation. We’re seeing highly skilled individuals, such as founders, engineers, and product leaders, move their operations or careers to the US and, in some cases, to Asia. This trend reflects global competition at its fiercest. But it’s also a moment…This story continues at The Next Web

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By Hisan Kidwai Free Fire Max is one of the most popular games on the planet, and for good…
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Microsoft is betting hard on recruiting AI talent from Meta, Business Insider reports, with an internal list of the developers and researchers at the rival firm who are at the top of Microsoft’s wish list.

To succeed, Microsoft has put in place a new process and set aside a dedicated budget to make competitive offers quickly — often by matching Meta’s already-high compensation. Part of the strategy is a fast-track approach, where candidates classified as “critical AI talent” get the company’s highest possible offer within 24 hours.

Recruitment efforts are led by Microsoft AI, helmed by former Deepmind founder Mustafa Suleyman, and Core AI, led by former Meta executive Jay Parikh, among others. Parikh’s organization is largely made up of former colleagues from Meta.

Meta reportedly offers extreme compensation packages in some cases, with sign-on bonuses of more than $100 million and total pay packages of up to $250 million.

Source:: Computer World

Apple’s continued success in the enterprise isn’t just the happy consequence of a series of lucky accidents; it’s happening because — while masked by its consumer-focused marketing machine — the company pays close attention to what business customers need. 

Along with its customary business and focus on specific verticals, Apple has teams across the company who spend much of their time talking with enterprise partners, customers, and suppliers to identify pain points and figure out where to best spend internal development resources. 

What Apple offers the enterprise

It has armies to support the work. Consider its SMB-focused retail staff. Consider the many interactions that take place between Apple and business customers through its many services, AppleSeed for IT, Apple’s Enterprise Product Marketing Managers, its enterprise-focused developer relations teams, and its continued improvements to the tools it makes for enterprise partners, principally around device management and security. The company provides accredited training courses for IT professionals, offers deployment resources, publishes white papers such as the IDC Report on Mac security in the enterprise, and more. 

At the same time, Apple Business Manager and Apple Business Essentials provide sector-specific support and act as gateways through which to gather sector-specific data, giving its business-customer-focused teams access to the data they need to support the arguments they find.

Speaking and learning

What I’m saying is that Apple maintains a complex web of interaction points with business customers that show how their needs are being gathered, considered, discussed and acted upon across the entire company, with pockets of people dedicated to identifying what they are going to need down the road. 

Declarative Device Management, for example, answered a need many in business didn’t know they had until they understood what it could do for them. 

What’s amusing is that it’s still pretty easy to miss that all this work is taking place. That’s because the company tends to focus its big keynotes and presentations on its core products and higher-end consumer customers.

The insights into its work in enterprise tech that do slip through usually come in the form of a few words during the fiscal calls or a session track or two at WWDC. 

Why keep it quiet?

There are a couple of reasons Apple might have chosen to remain relatively modest concerning its work in this space. The first is reputational, the second tactical.

As I see it, it’s like this: 

Apple wants its wider public reputation to remain focused on aspirational consumers. The fear is that evangelizing its business credentials may sully its brand ID, in part perhaps because public perception of business computing has been sullied by the non-Apple experiences people have endured at work (which is probably why, when given a choice, employees get a Mac). 

Apple might also want to manage expectations. It is listening, and it will deal with the worst problems. But it also knows that by the time it gets to fix some problems, it might have identified a new and better approach as it develops new consumer technologies it already knows will enter tomorrow’s enterprise. 

What’s the next step?

All of this may seem reasonably obvious to anyone with first-hand experience of Apple’s business teams, but might be harder to accept by those who still believe the company is only focused on making consumer “toys.”

However, like the recently debunked argument that Apple’s systems are more expensive, nothing could be further from the truth. Just ask the world’s biggest companies, who are seeing rapid growth in their Apple deployments combined with higher employee satisfaction and productivity alongside reductions in tech support costs on the strength of those migrations.

None of this is accidental. Apple has engaged huge resources over many years in support of its enterprise market push. Now, it just needs reality to catch up while that gentle push becomes a shove.

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Source:: Computer World

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By Alexandra Vidyuk The scientific world is reeling. New discoveries from the James Webb Space Telescope — a joint project by the European Space Agency(ESA), NASA, and the Canadian Space Agency (CSA) — aren’t just surprising, they’re contradicting our deepest assumptions about how the universe works. Fundamentally, it seems the universe may not be playing by the rules we mostly thought we understood.  So, what could it all mean for space exploration, space technology, and future deep tech? And what should space tech businesses, inventors, investors, and VC funds in Europe be considering as a result of the latest discoveries? At Beyond Earth…This story continues at The Next Web

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It really is time to bury the assumption that Macs are more expensive than Windows PCs. That’s because for every low-spec, barely functional Windows computer you can pick up for less than the cost of a Mac, there will be a dozen that cost much more.

IT purchasers already know this as they wade through the marketing materials around the forced Windows 11 upgrade; unless you pay Microsoft loads more to extend Windows 10 support, you will be forced to 11, adding a multitude of necessary costs, including:

Windows licenses.

Additional fees for AI features. 

Software that often requires more than basic PC specs.

Service costs, with per-device preparation costs on the rise.

Many of these expenses involve recurring subscriptions that will eat away at precious IT budgets across the usable life of a PC. Together, they mean that while the initial price of a PC might seem lower than the price of a Mac, those additional costs add up. Then there’s the price of storage, memory, and processor upgrades, and security — all of which must be weighed against the potential advantages that could be unlocked by a move to Mac.

Nickels and dimes

Apple has always offered its systems in standard, better, and best configurations. It has always also shocked most industry watchers with its high prices on memory, or additional storage, which always seem much higher than those PC purchasers pay.

That was then, this is now, with a recent NPI report noting, “PC vendors are leveraging component upgrades and market recovery to inflate pricing.” 

These price increases are extreme, with the analysis finding that in many cases, price jumps “are 30% to 50% representing a significant cost increase for enterprise customers.” It’s hard not to imagine that PC makers have figured out how to increase profitability the old-fashioned way with higher hidden fees.

 Windows fans shouldn’t shoot the messenger on this; the news comes direct from NPI and is based on industry data. What it means to enterprise purchasers is that even while Microsoft forces a move to Windows 11, vendors are raising the cost of the new PCs on which the OS runs. That many of these are subscription-based adds to the horror as buyers battle to balance their books.

Life in the Apple lane

Apple isn’t doing that. It doesn’t have to. Not only is it selling a unique platform (the Mac), but the processors its systems run on are also designed by Apple, which means it doesn’t pay the same royalty on each chip and each PC that Wintel vendors must handle. 

What makes this even better for Apple is that even entry-level Apple Silicon chips now offer power and performance Windows can’t match at the same price — even as Apple’s OS and security upgrades remain free. And the cost of added device management services remains relatively predictable, in part because of the lack of OS fragmentation across the Apple ecosystem. That makes MDM pricing predictable and resilient to change.

Sure, when you get a Mac, you’ll still pay more for extra storage and memory. But the NPI report suggests you’ll be paying similarly for Windows hardware, too. Beyond that, Apple has another trick up its sleeve, one which might yet give even relatively committed Windows users pondering a Windows 11 upgrade food for thought.

A Mac for all seasons

Cheaper Macs may be on the way. That’s right. Apple is now hotly tipped to introduce a new MacBook model equipped with A-series mobile processors to challenge the low end of the PC market. Current speculation claims the company plans to introduce these systems later this year at just $599. 

To help meet the low price target, these 12.9-in notebooks will use a lower-cost iPhone processor, making these machines perfectly capable at all the entry-level tasks you might need. (If you want something more powerful, you can’t have missed the emergence of online offers that might allow you to pick up a MacBook Air for around $799.)

For the millions who want to migrate to a Mac, it means you’ll be able to do so for about the same price as a very basic (and life-limited) Windows 10 PC. And for those hoping to argue you should stick with Windows, well, the evidence shows that price has ceased to be realistic rationale.

Up next, we’ll find out what happens when a platform once seen as too expensive becomes highly competitive — particularly while security on the fragile Windows platform is becoming an ever more expensive consideration. 

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Source:: Computer World

By Andrea Hak Arguably the most important thing that the rise of intelligent AI could potentially bring is access. Access to goods, services, and information not just for the few, but for everyone. Victoria Slivkoff, Head of Ecosystem at Walden Catalyst and Managing Director of Extreme Tech Challenge — a nonprofit uniting startups and VCs to accelerate progress toward the UN Sustainable Development Goals (SDGs) — is excited for what lies ahead. In her view, the physical manifestation of AI could bring us closer to realising these ambitious goals. “Now we’re moving into the area of reasoning. AI is not just aggregating and…This story continues at The Next Web

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By Siôn Geschwindt “Microbial protein,” says Katelijne Bekers, waving a vial of beige-coloured powder in front of me like it’s a magic potion. It doesn’t look like your typical lunch fare, but this unassuming dust could play a crucial role in the future of food. Bekers is the co-founder of MicroHarvest, a Hamburg and Lisbon-based startup that turns agricultural waste streams into protein powder using microbes — tiny organisms that exist all around us. The vegan ingredient is already making its way into dog treats. If all goes to plan, human snacks like protein bars, shakes, and ice cream won’t be far behind.…This story continues at The Next Web

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Apple Intelligence will lean heavily into Apple’s existing work with App Intents and Shortcuts integrations. The app services App Intents provide will be combined with Apple Intelligence and supported by what your device knows about where you are, what you need and the things you usually do.

(It will all take place privately and on device, of course.)

What are App Intents?

“The App Intents framework provides functionality to deeply integrate your app’s actions and content with system experiences across platforms, including Siri, Spotlight, widgets, controls and more,” Apple has explained. That means App Intents can integrate your apps actions with Siri, Spotlight, and other apps, making it easier for users to get things done.

First announced in 2024, App Intents are already available across every app — and while not every app supports App Intents, Apple really wants developers to climb aboard. 

During a WWDC 2025 session, the company suggested App Intents as a way to make the key functionalities of your app available across the system. It calls those functionalities the “verbs” of any app. 

These can be combined with those from other third-parties and Apple apps for useful tasks, allowing users to access functionalities available in other apps from within a developer’s own app. That means offering users customized Spotlight results, custom actions for Apple Pencil Pro, contextually aware commands for the Action Button, interactive widgets and more. 

What should be interesting is that App Intents will make it possible to execute complex strings of actions/verbs on demand; for developers, App Intents is a two-way street enabling them to build far more complex app experiences than they could do alone, while also giving an app the power to reach out to users via other apps.

What about Siri?

App Intents are both Shortcuts and Siri compatible. And that’s really where I see them begin to shine, as it means App Intents can be executed via voice commands. Apple watcher Mark Gurman goes as far as to say that once complete, they will permit you to fully control your iPhone using only voice, including finding, editing, and sharing a photo.

In other words, you’ll be able to string Intents/Shortcuts from across multiple apps together on your behalf so you can get more complex tasks done just by asking your device. 

This was certainly what Apple’s 2024 announcement of a smarter Siri promised. And while that work has been seriously delayed, the company recently said it is going well, and it hopes to introduce the new tools in spring.

Unlocking the apps

The sticking point for App Intents is that they require app functionality (those “verbs”) to be unlocked and made available using Apple’s own APIs. The problem there is that some developers might be resistant to making such functionality available outside of their own app, as they fear loss of user engagement.

I think that resistance is part of the reason Apple is working with the big name developers behind some of the world’s most widely used apps. Bloomberg’s senior Apple sleuth tells us it is working with Uber, AllTrails, Threads, Amazon, Temu, YouTube, Facebook, and WhatsApp on this, so once these new features do appear, the “verbs” for the most widely used apps will be supported by the system. 

Of course, the danger here is that as the big apps become even more omnipresent across Apple’s and other systems, the opportunities for smaller third-party apps to intrude into the experience they provide will erode. After all, how do you make any task more convenient than asking Siri to make it happen? Will we end up with an iOS ecosystem that’s as commoditized as the web seems to have become, with only a few brands occupying the majority of online attention? What impact would such an outcome have on digital economies, particularly as online attention is detected and solutions provided almost automatically through AI?

Existential queries aside, working with these key developers will also give Apple better insight into any flaws in its software that might need rectifying as it moves toward the first public beta of these new Apple Intelligence features working through Siri. Given the challenges it has faced getting to this point, working with others might help its teams deliver on time. 

I’m interested to see how this unfolds.

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Source:: Computer World

Nvidia has developed a generative AI (genAI) model to help robots make human-like decisions by analyzing surrounding scenes.

The Cosmos Reason model in robots can take in information from video and graphics input, analyze the data, and use its understanding to make decisions.

Cosmos Reason, announced on Monday,  helps robots “think like humans do” and make decisions with “just common sense,” said Rev Lebaredian, vice president of Omniverse and simulation technologies.

The model is lightweight at 7 billion parameters and can be used in a variety of physical devices such as installed cameras, traffic signals, and instruments in factories.

“Every smart IoT device that can see, from cameras to traffic lights, every home or industrial robot, will have reasoning,” Lebaredian said.

Companies can develop video AI agents, which will act on massive amounts of data gathered and analyzed from recorded video data and livestreams. “These video agents will soon be everywhere, automating traffic monitoring, improving safety, and enhancing video inspection in everything from industrial facilities to entire cities,” Lebaredian said.

Cosmos Reason is what Nvidia calls a “vision language model” (VLM). That’s different from typical text-based models, which can generate images, videos, or text.

Nvidia’s Cosmos Reason VLM is designed to help robots make better decisions.
Nvidia

OpenAI and other companies have released VLMs, but Cosmos Reason can do deeper reasoning on a long tail of unseen scenarios, he said. The models can establish prior understanding of scenarios and take into account physical interactions and then infer complex interactions or motivations of objects and actors in the scene. It can also understand new and unseen experiences.

For example, robots will be able to connect the dots of making toast, understanding that toast requires butter and a toaster — and a plate on which to serve the food.

Today’s AI robot models have two types of technology underpinning their activity. The VLM interprets instructions and plans actions, while “vision language action” allows for fast actions and muscle memory.

Cosmos Reason is open-source and now available for download, the company said, but it will only work on Nvidia’s hardware. 

The company sells the Jetson Thor DGX computer for robots and said its new RTX Pro 6000 GPUs will be in high-end servers. The company also announced new RTX Pro 4000 and 2000 GPUs for high-end desktops. The new GPUs are based on the Blackwell architecture.

Nvidia is grouping its world-building and simulation products under the Omniverse product line. Cosmos Reason is one of many models developed by the company to improve productivity in factories, warehouses, robots, vehicles, and other physical locations.

Omniverse products involve creating a digital copy representation of physical products in the real world. Information in the virtual world is used to create synthetic data to train vision language models.

Source:: Computer World

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By Wouter Moolenaar Crypto crashes, money laundering, and digital fraud — the EU’s financial watchdogs have had enough. Regulatory bodies need to keep up by rolling out tighter regulations aimed at strengthening consumer protections and stabilising the market.  As EU lawmakers scramble to protect consumers, others worry they are smothering growth. Case in point: in 2024, the FCA fined HSBC £6.2mn for not properly treating customers in financial difficulty. The regulatory bodies are defending the public, but had restrictions been lighter, would HSBC have had more creative solutions for its customers, such as embedding personalised, data-first lending? Banks have been fearful of exploring…This story continues at The Next WebOr just read more coverage about: Fintech

Source:: The Next Web