Technology

Like it or not, cyberattacks are now a regular occurrence, and part of everyday life. However, despite this predictability, it still remains impossible to pinpoint exactly when and where they will occur. This means that businesses must remain vigilant, constantly on the lookout for any and all potential threats.

From the moment a company is created, it must be assumed that attacks will be coming. Just because it is new and unknown does not mean it is safe. Take DeepSeek for example, despite being the new kid on the block, as soon as its name hit the news, it was hit with a severe large-scale attack. However, this does not give established companies an excuse to drop their guard.

The past couple of months alone have seen some of the biggest names in retail fall victim, with large scale companies like M&S and Dior unable to properly defend against attacks. No matter how big the company, it is vital to employ a well-rounded cybersecurity strategy that provides security from the foundational stages of development through to the latest iteration.

Siloed teams are outdated

The key to weathering the storm of cyberattacks is a firm foundation. Cybersecurity principles must be embedded from the outset, ensuring a strong and secure beginning for any product or system development. These defenses must be continually built upon, monitored, tested and updated on a proactive basis to ensure any potential vulnerabilities are mitigated before they can become a threat.

Threats are constantly evolving, and the attack defended against today could be the one that breaks through tomorrow. Therefore it is imperative to keep any and all threat intelligence up to date, monitoring threats in real-time and continuously sharing the information business-wide.

Unfortunately, it is the dissemination of this information that can cause issues - especially when different teams are receiving information late, or not at all. This is often the case in organizations that employ a siloed approach, with individual teams working in isolation from each other.

This fragmented structure can not only impact an organization's ability to detect and respond to threats, but the capability to learn from them and share these insights with other teams. Without a formal structure in place to facilitate cross-team collaboration, teams may develop different processes in parallel, use different tools, and fail to communicate across functions when facing risks or as incidents unfold.

As a result, security controls are inconsistent, making it tough, if not impossible, to establish standard methods for sharing threat intelligence and incident response procedures.

Introducing collaboration

A centralized platform that unifies threat intelligence company-wide will strengthen security efforts across departments and ensure that teams operate as part of shared vision. Creating common goals and metrics encourages collaboration and establishes a clear sense of purpose. Threat Intelligence Platforms (TIPs) enable organizations to adopt this approach, integrating across business systems and providing automated intelligence sharing.

TIPs act as the heart of an organization's cyber defenses, gathering information from across multiple sources, from public feeds, to industry reports, and distributing it across all teams. They are able to sift through the data and identify serious threats, advising teams where to focus their efforts to prioritize the most at-risk vulnerabilities.

Through the automation of processes such as data collection and by removing internal communication barriers, organizations can translate scattered, complex cyber‑threat information into coordinated action to protect critical assets faster and comprehensively. This will result in improved threat detection, quicker incident response times and a greater overall cyber resilience.

The hyper-orchestration approach

The hyper-orchestration approach builds upon these foundations of collaboration and collective defense, replacing siloed teams with a united threat intelligence network. Employing this structure from the formation of a business will allow organizations to avoid the formation of individual teams, and enhance their cybersecurity capabilities from the outset.

This collective defense approach coordinates threat intelligence and response activities to tackle specific security threats. Perhaps one of the most notable examples of collective defense in action is the Information Sharing and Analysis Centre (ISAC), which collects, analyses and disseminates actionable threat information to its members.

These centers enable organizations to identify and mitigate risks and boost their cyber resilience. ISACs are made up of a comprehensive group of highly competent and professional organizations, with the National Council of ISACs currently comprising almost 30 sector-specific organizations, for example.

Recent research highlights the importance of this collective defense approach, with 90% of cybersecurity professionals believing collaboration and information sharing are very important or crucial for a strong cyber defense. Despite this, nearly three-quarters (70%) feel their organization needs to do more to improve threat intelligence sharing capabilities.

It is clear that a collective defense approach is growing more popular, with dedicated information sharing roles now recognised at the highest levels of government and regulation. The EU Network and Information Systems Directive 2 (NIS2), which came into force last October, is a clear example of this - focusing on the resilience of sectors that are under particular risk.

With clear importance being placed on collaboration in cybersecurity, organizations must take steps to incorporate this approach into their cyber security strategies from day one. Employing hyper orchestration and collective defense is key to enhancing cyber resilience and ensuring systems are secure through every stage of a business’ development.

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This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro

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• Gemini’s Storybook feature lets you instantly generate 10-page illustrated storybooks
• You can pick art styles and themes
• The results can be cute but are far from the quality of beloved classics

If you have a kid who loves to hear about themselves in a story, Google’s Gemini AI has a new trick that could keep them happy for a long time. Gemini's new Storybook feature lets you generate fully illustrated, ten-page storybooks with narration from a single prompt.

You describe the tale, the look you want, and any other details, and Gemini writes the story, creates images for each page, and reads it aloud within a few minutes.

Storybook, in some ways, just combines existing abilities like text composition, image generation, and voice narration. Still, by putting them into a single prompt system, it speeds up the final product enormously. If you don't like certain details of the look or writing, you can simply adjust the book with follow-up prompts. You can even feed it a photo to shape the setting or characters.

The appeal for those who might feel they lack creative writing or drawing skills is obvious. No need to hire an illustrator or record voiceovers yourself. If your child wants a bedtime story about a shy dragon who finds confidence at music camp, you type that in, and within minutes, you’ve got a book with pictures, narration, and page-by-page structure.

This isn’t just for bedtime, either. Teachers can create customized stories to explain hard topics, perhaps teaching second graders about gravity with a friendly astronaut cat. Therapists could use storybooks to help kids talk through emotions using characters they connect with. Aunts and uncles can make personalized birthday stories with inside jokes and family pets.

What used to be a labor-intensive creative project is now something you can do on your phone during lunch break.

AI storytellers

And it is a notable shift from the standard template with a blank to fill in approach common to other AI tools. The narration even adapts to the tone of the story, with voices that can be whimsical, soothing, or dramatic, depending on what your story needs. Google is pitching the tool to busy parents, overworked teachers, and creative kids looking for a co-author and illustrator for their ideas.

I asked Gemini to make a story about my dogs going on an adventure in nature, sharing their names and describing their looks, and that's about it. You can read and listen to the Gemini-created story here.

It did a remarkably good job, albeit with a very inconsistent look to the dogs from page to page and a somewhat dull story. And when I tried it again to see how it would perform with the same prompt, the dogs sometimes had more than four limbs, not exactly reassuring to a child looking forward to a story about their pets.

And while it's theoretically possible that Gemini could write and illustrate a story better than the many classic and modern children's books out there, or one more personally resonant than writing it yourself, I personally have doubts. This is a fun little trick, but the idea of skipping every bookstore, library, and box of crayons and pencils for an AI alternative that can't always even make your dog look the same on every page feels like the exact activity I'd rather do myself. I'll stick to asking AI for help organizing my kitchen and leave the bedtime stories to me.

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• X's AI video maker Grok Imagine is live for SuperGrok and Premium+ subscribers
• Grok Imagine turns prompts into looping six-second clips
• The tool includes a controversial “spicy mode” for some NSFW content

xAI is pushing out the Grok Imagine AI video maker to those willing to pay for a SuperGrok or Premium+ subscription. Assuming you've paid your $30 or $35 a month, respectively, you can access Imagine in the Grok app under its own tab and turn prompts into short video clips. These last for around six seconds and include synced sound. You can also upload static images and animate them into looping clips.

Grok Imagine is another addition to the increasingly competitive AI video space, including OpenAI's Sora, Google's Veo 3, Runway, and more. Having audio built in also helps the tool, as sound is still not a universally available feature in all AI video tools.

To stand out, Elon Musk is encouraging people to think of it as “AI Vine,” tying the new tool to the classic and long-defunct short-form video platform for Twitter, itself a vanished brand name.

However, this isn’t just nostalgia for 2014 social media. The difference is that it's a way to blend active creation and passive scrolling.

Grok Imagine should get better almost every day. Make sure to download the latest @Grok app, as we have an improved build every few days. https://t.co/MGZtdMx26oAugust 3, 2025

Spicy Grok

One potentially heated controversy around Grok Imagine is the inclusion of a “spicy mode” allowing for a limited amount of more explicit content generation. While the system includes filters and moderation to prevent actual nudity or anything sexual, users can still experiment with suggestive prompts.

Musk himself posted a video of a scantily clad angel made with Grok Imagine. It provoked quite a few angry and upset responses from users on X. xAI insists guardrails are in place, but that hasn’t stopped some early testers from trying to break them.

xAI is keen to promote Grok Imagine as a way to make AI video accessible for everyone, from businesses crafting ads to teachers animating lessons. Still, there are understandable concerns about whether an AI platform that was only recently in hot water for outright pro-Nazi statements can be trusted to share video content without getting into more hot water. That goes double for the filters for the spicy content.

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As you may have seen, OpenAI has just released two new AI models – gpt‑oss‑20b and gpt‑oss-120b – which are the first open‑weight models from the firm since GPT‑2.

These two models – one is more compact, and the other much larger – are defined by the fact that you can run them locally. They'll work on your desktop PC or laptop – right on the device, with no need to go online or tap the power of the cloud, provided your hardware is powerful enough.

So, you can download either the 20b version – or, if your PC is a powerful machine, the 120b spin – and play around with it on your computer, check how it works (in text-to-text fashion) and how the model thinks (its whole process of reasoning is broken down into steps). And indeed, you can tweak and build on these open models, though safety guardrails and censorship measures will, of course, be in place.

But what kind of hardware do you need to run these AI models? In this article, I'm examining the PC spec requirements for both gpt‑oss‑20b – the more restrained model packing 21 billion parameters – and gpt‑oss-120b, which offers 117 billion parameters. The latter is designed for data center use, but it will run on a high-end PC, whereas gpt‑oss‑20b is the model designed specifically for consumer devices.

Indeed, when announcing these new AI models, Sam Altman referenced 20b working on not just run-of-the-mill laptops, but also smartphones – but suffice it to say, that's an ambitious claim, which I'll come back to later.

These models can be downloaded from Hugging Face (here's gpt‑oss‑20b and here’s gpt‑oss-120b) under the Apache 2.0 license, or for the merely curious, there's an online demo you can check out (no download necessary).

(Image credit: Future / Lance Ulanoff)The smaller gpt-oss-20b model

Minimum RAM needed: 16GB

The official documentation from OpenAI simply lays out a requisite amount of RAM for these AI models, which in the case of this more compact gpt-oss-20b effort is 16GB.

This means you can run gpt-oss-20b on any laptop or PC that has 16GB of system memory (or 16GB of video RAM, or a combo of both). However, it's very much a case of the more, the merrier – or faster, rather. The model might chug along with that bare minimum of 16GB, and ideally, you'll want a bit more on tap.

As for CPUs, AMD recommends the use of a Ryzen AI 300 series CPU paired with 32GB of memory (and half of that, 16GB, set to Variable Graphics Memory). For the GPU, AMD recommends any RX 7000 or 9000 model that has 16GB of memory – but these aren't hard-and-fast requirements as such.

Really, the key factor is simply having enough memory – the mentioned 16GB allocation, and preferably having all of that on your GPU. This allows all the work to take place on the graphics card, without being slowed down by having to offload some of it to the PC's system memory. Although the so-called Mixture of Experts, or MoE, design OpenAI has used here helps to minimize any such performance drag, thankfully.

Anecdotally, to pick an example plucked from Reddit, gpt-oss-20b runs fine on a MacBook Pro M3 with 18GB.

(Image credit: TeamGroup)The bigger gpt-oss-120b model

RAM needed: 80GB

It's the same overall deal with the beefier gpt-oss-120b model, except as you might guess, you need a lot more memory. Officially, this means 80GB, although remember that you don't have to have all of that RAM on your graphics card. That said, this large AI model is really designed for data center use on a GPU with 80GB of memory on board.

However, the RAM allocation can be split. So, you can run gpt-OSS-120b on a computer with 64GB of system memory and a 24GB graphics card (an Nvidia RTX 3090 Ti, for example, as per this Redditor), which makes a total of 88GB of RAM pooled.

AMD's recommendation in this case, CPU-wise, is for its top-of-the-range Ryzen AI Max+ 395 processor coupled with 128GB of system RAM (and 96GB of that allocated as Variable Graphics Memory).

In other words, you're looking at a seriously high-end workstation laptop or desktop (maybe with multiple GPUs) for gpt-oss-120b. However, you may be able to get away with a bit less than the stipulated 80GB of memory, going by some anecdotal reports - though I wouldn't bank on it by any means.

(Image credit: Shutterstock/AdriaVidal)How to run these models on your PC

Assuming you meet the system requirements outlined above, you can run either of these new gpt-oss releases on Ollama, which is OpenAI's platform of choice for using these models.

Head here to grab OIlama for your PC (Windows, Mac, or Linux) - click the button to download the executable, and when it's finished downloading, double click the executable file to run it, and click Install.

Next, run the following two commands in Ollama to obtain and then run the model you want. In the example below, we're running gpt-oss-20b, but if you want the larger model, just replace 20b with 120b.

ollama pull gpt-oss:20bollama run gpt-oss:20b

If you prefer another option rather than Ollama, you could use LM Studio instead, using the following command. Again, you can switch 20b for 120b, or vice-versa, as appropriate:

lms get openai/gpt-oss-20b

Windows 11 (or 10) users can exercise the option of Windows AI Foundry (hat tip to The Verge).

In this case, you'll need to install Foundry Local - there's a caveat here, though, and it's that this is still in preview - check out this guide for the full instructions on what to do. Also, note that right now you'll need an Nvidia graphics card with 16GB of VRAM on-board (though other GPUs, like AMD Radeon models, will be supported eventually - remember, this is still a preview release).

Furthermore, macOS support is "coming soon," we're told.

(Image credit: Shutterstock/ Alex Photo Stock)What about smartphones?

As noted at the outset, while Sam Altman said that the smaller AI model runs on a phone, that statement is pushing it.

True enough, Qualcomm did issue a press release (as spotted by Android Authority) about gpt-oss-20b running on devices with a Snapdragon chip, but this is more about laptops – Copilot+ PCs that have Snapdragon X silicon – rather than smartphone CPUs.

Running gpt-oss-20b isn't a realistic proposition for today's phones, though it may be possible in a technical sense (assuming your phone has 16GB+ RAM). Even so, I doubt the results would be impressive.

However, we're not far away from getting these kinds of models running properly on mobiles, and this will surely be in the cards for the near-enough future.

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• INIU Pocket Rocket P5 is super small
• It has 10,000mAh and multiple ports
• It comes in macaron colors but not flavors, for obvious reasons

If you like your power banks small, full of energy, and the color of your favorite macarons, INIU might have you covered.

The company, best known for constantly innovating power cell stacking to create increasingly smaller and lighter power banks, introduced this week what it claims is "the World's smallest 10,000mAh, 45W fast-charging" power bank.

The Pocket Rocket P50 (don't look at us, we didn't name it) is indeed small. Measuring 3.3 x 2.0 x 1.0 inches, the P50 weighs just 5.6 oz. Similarly configured 10,000mAh power banks on Amazon tend to weigh a few ounces more and are slightly larger.

They also generally cost a little more. The Pocket Rocket 50 lists for $32.99 (£38.99) on Amazon.

(Image credit: Iniu)

INIU achieved the P50's pleasingly small size by using its trademark TinyCell Pro technology, which the company says uses "efficient cell arrangement and space-saving thermal layers." It also come equipped with a small monochrome display that offers real-time charge status.

The P50 includes multiple charging ports, including a USB-A port and two USB-C ports. The attached lanyard doubles as a USB-C-to-USB-C charge cable that you can use to charge devices connected to the 45W power bank and to recharge the P50.

Available in a collection of macron-style colors that include pink, green, purple, and blue, the Pocket Rocket P50 can deliver a 45W charge and supports Samsung Fast Charging 2.0 for a speedy top-off.

INIU claims the P50 can charge a smartphone from 0% to 73% in just 25 minutes. Naturally, this is a claim we'll want to verify in lab testing.

(Image credit: Iniu)

The P50, according to the company, is capable of recharging multiple devices at once, and, on a single charge, can fully charge an iPhone 16 twice as well as an iPad mini or a Samsung Galaxy S24 one and a half times. INIU also claims the Pocket Rocket P50 is approved for carry-on use.

It's certainly small enough to fit anywhere, and with those tasty colors, it might attract more than a few wistful stares at the airport.

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• Many freelancers are now thriving by offering emotional nuance which AI consistently fails to deliver
• Visual content creation roles are rising as personal style outperforms algorithmic predictability
• The backlash against AI slop is pushing businesses to revalue human creativity and depth

While generative AI tools continue to dominate headlines and reshape workflows, demand for creative freelancers appears to be growing, not shrinking.

Figures from the Freelancer Fast 50 Global Jobs Index found in Q2 2025, job postings for writers, designers, and video editors are climbing steadily - even as roles in machine learning, blockchain, and other AI-adjacent fields show marked declines.

The shifts suggest businesses are drawing clearer lines between automated output and the type of nuanced, human creativity that machines still fail to replicate convincingly.

Originality rises as slop loses appeal

The findings are based on more than 251,000 projects posted on a leading freelance site during the second quarter of 2025.

Communications jobs surged by 25.2%, making it the fastest-growing category, with freelancers in this space are being hired to craft contracts, edit manuscripts, and produce emotionally resonant writing that AI tools struggle to deliver.

This trend emerges amid what some commentators have described as widespread “AI slop fatigue”.

This is a growing pushback against the mass of bland, automated content that has flooded social media and search platforms.

The fatigue may be both aesthetic and functional, as platforms such as Google have introduced algorithm updates designed to penalise auto-generated material, putting further pressure on brands to prioritise originality.

Clients now appear more willing to invest in skilled professionals who can ensure their content maintains visibility and emotional resonance.

Many are still using AI writer programs in support roles to brainstorm ideas or speed up drafts, but final outputs are increasingly expected to pass a test of authenticity that machines fail to meet.

In video and visual production, the shift is just as pronounced, as job listings for skills such as Adobe After Effects, Instagram content creation, and 3D design using Unity have all posted double-digit gains.

Content creators are not just surviving alongside AI; they are thriving in areas that rely heavily on personal style, spontaneity, and audience connection.

Freelancers interviewed for the report describe growing interest in projects that range from low-budget films to custom branding efforts, with clients favouring professionals who can offer “strategic thinking” and “tailored solutions.”

This growth in creative jobs also underlines a broader recalibration of the role of AI tools.

Instead of displacing freelancers, many organisations are shifting toward hybrid workflows, leaning on machines for efficiency while entrusting humans with the final creative direction.

The simple conclusion to this situation is that for now, human nuance still matters.

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• Apple's just promised that future iPhone and Apple Watch models will feature US-made Glass
• It's not an entirely built-in the USA iPhone or Apple Watch
• It's part of a larger $600 billion investment in the US economy from Apple

While it’s not an iPhone that’s entirely made in the U.S.A., Apple is making some pretty major hardware-related news alongside a fresh commitment from the Cupertino-based tech giant to invest a total of $600 billion in the U.S. economy within the next five years.

Apple, in a just-announced partnership with Corning, will aim to make and produce all of the glass covers for the iPhone and Apple Watch in the United States – specifically at Corning’s facility in Harrodsburg, Kentucky. It’s part of a new $2.5 billion commitment from Apple and means that once in place, all the glass for the iPhone and Apple Watch models sold globally will be made in the United States.

Apple’s partnership with Corning is far from new. While Apple rarely explicitly names who makes which components, it’s long been known that they use some custom form of Corning Gorilla Glass. Corning has always been a US-based company. The news that all iPhone and Apple Watch glass manufacturing is coming to the US inadvertently reveals that Apple may have been using multiple glass suppliers, including some from outside the US. That all changes now, though.

(Image credit: Apple)

Most recently, this facility has been producing glass that’s named ‘Ceramic Shield’ for Apple’s iPhone lineup. The Harrodsburg, Kentucky, facility will exclusively be used for making glass for Apple devices going forward. The release notes that this decision will increase Corning’s manufacturing and engineering workforce here by 50% and that a combined Apple-Corning Innovation Center will open nearby.

(Image credit: Future)

At a joint conference held at the White House and attended by Apple CEO Tim Cook, US President Donald Trump stated that this is a "smart glass production line" and will ultimately create 20,000 new American jobs.

Cook actually gave Trump a present, well, a gift from Apple – a piece of Corning Glass with ‘Trump’ engraved on it, and a base made from 24 karat gold sourced from Utah. It might be the first unboxing on the Resolute Desk, at least performed by Apple’s CEO.

The bigger picture: Apple’s upping its promised US investment

While this is the major hardware-related news as part of Apple’s commitment, the company did promise an additional $100 billion investment United States. Previously, the total investment was $500 billion, and that jumps to $600 billion, which should be complete within four years.

Alongside the new partnership with Corning, Apple’s also committed to working further with other US manufacturers like Coherent, GlobalWafers America (GWA), Applied Materials, Texas Instruments (TI), Samsung, GlobalFoundries, Amkor, and Broadcom. This is dubbed Apple’s American Manufacturing Program and will result in a tangible 450,000 jobs created in America across 79 factories.

(Image credit: C-Span)

Beyond the fact that all glass for the iPhone and Apple Watch will be made in the United States, Apple also hopes to create an end-to-end silicon supply chain in America. Apple already expects this supply chain to build over 19 billion chips by the end of 2025 here. Speaking at the White House, Cook said, “American innovation is central to everything we do," and it’s clear that the tech giant is further investing to ensure that will be the case going forward, especially from a building perspective.

Apple's decision to shift some component manufacturing to the US may have just saved it from a 100% tariff on chips and semiconductors that Trump announced during the press conference. Trump said, for companies like Apple, "if you're building in the US or have committed to building in the US, there will be no charge."

Apple has also started construction on a 250,000-square-foot facility in Houston, Texas, that’s focused on building advanced Apple servers, and is expanding a data center that supports services like Apple TV+ and Apple Music in Maiden, North Carolina.

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• Android phones possibly under threat from worrying security threat
• Qualcomm releases fix for two major flaws in May and urged OEMs to apply it
• Google released a patch, so users should update now

Google has patched a major vulnerability affecting Android smartphones which is being actively exploited in the wild.

In June 2025, Qualcomm publicly announced discovering three vulnerabilities: CVE-2025-21479, CVE-2025-21480, CVE-2025-27038, saying they were “indications” from Google Threat Analysis Group (TAG) the flaws were being used in “limited, targeted exploitation.”

TAG specifically focuses on tracking state-sponsored threat actors, along with other highly sophisticated hacking groups, so if these were being used in limited and targeted exploitation, it’s safe to assume that these were nation-states targeting high-value individuals such as diplomats, journalists, dissidents, scientists, and similar.

CISA sounds the alarm

At the time, Qualcomm also urged OEMs (such as Google), to deploy the patch in their products without delay.

"Patches for the issues affecting the Adreno Graphics Processing Unit (GPU) driver have been made available to OEMs in May together with a strong recommendation to deploy the update on affected devices as soon as possible," Qualcomm said.

Google has now issued it August 2025 update for Android, which includes fixes for two of the flaws: CVE-2025-21479 and CVE-2025-27038.

The former is described as “memory corruption due to unauthorized command execution in GPU micronode while executing specific sequence of commands,” and was given a severity score of 8.6/10 (high). The latter is described as “memory corruption while rendering graphics using Adreno GPU drivers in Chrome,” with a severity score of 7.5/10 (high).

The US Cybersecurity and Infrastructure Security Agency (CISA) also added these two bugs to its Known Exploited Vulnerabilities (KEV) catalog on June 3, giving Federal Civilian Executive Branch (FCEB) organizations a three-week deadline to patch up, or stop using vulnerable software entirely.

Given Android’s decentralized structure, it is safe to assume that different devices (for example, Samsung’s Galaxy lineup, or OnePlus’ One lineup) will be getting these updates at different times. Pixel, being Google’s lineup of mobile phones, will most likely receive the updates first.

Via BleepingComputer

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• OpenAI's announced a livestream for August 7 at 1PM ET / 10AM PT / 6PM BST
• We're expecting GPT-5 to be unveiled as OpenAI wrote, "LIVE5TREAM"
• It comes after many rumors and hints about the next model

After countless rumors, teases, hints of a delay, and many, many thoughts from CEO Sam Altman, OpenAI has finally confirmed a livestream tomorrow, and we're expecting to see Chat GPT-5's formal unveiling.

It’s not just that we’ve been waiting for the next-generation model to arrive, but a post on X (formerly Twitter) from the @OpenAI account makes it pretty clear, as it reads, “LIVE5TREAM THURSDAY 10AM PT”. That’s a pretty clear spelling of ‘livestream’ replacing the ‘s’ with a 5, and hinting at the GPT-5 model.

As the next major model for OpenAI, GPT-5 is rummored to bring with it more speed and better efficiency, but a real spotlight might be on how we can interact with it. We’ve already seen more formal Agents debut from ChatGPT, but GPT-5 is likely going to bring in automatic selection of the right model.

LIVE5TREAM THURSDAY 10AM PTAugust 6, 2025

This means you won’t need to select the model you think is the best fit, as GPT-5 will understand your prompt and handle the specific routing for you. Hopefully, that means easier, more appropriate answers for various prompts. Just a few days ago, on August 3, 2025, Sam Altman shared a screenshot of ChatGPT with ChatGPT 5 as the selected model in the top corner.

With a planned livestream for tomorrow, August 7, 2025 at 1PM ET / 10AM PT / 6PM BST, this will turn out to be a pretty packed week for OpenAI. Yesterday, on August 5, 2025, OpenAI debuted two open-weight AI models, gpt‑oss‑120b and gpt‑oss‑20b. The latter of which is capable of running locally on a consumer PC.

GPT-5 would have a significantly more immediate impact, assuming it gets a wide rollout and could be in the hands of consumers soon after the livestream. Sam Altman did tease in a post on X on August 2, 2025, that OpenAI has “a ton of stuff to launch over the next couple of months--new models, products, features, and more” – so the August 7 livestream – err, LIVE5TREAM – could be the start of plenty of new features to try.

Of course, Altman also used that post to warn about capacity issues or ‘hiccups,’ so similar to other launches with longer lead times, it could be a bit of a wait before trying GPT-5 for yourself.

Either route, stick with TechRadar as we’ll be reporting live on whatever OpenAI announces during its livestream tomorrow, and we’d bet on GPT-5. Like previous OpenAI announcements, we're expecting the event to be livestreamed on the brand's YouTube channel here.

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The lines between traditional hardware providers and cybersecurity vendors are beginning to blur as printer brands enter the cybersecurity field, but hackers can still use your business printer as an easy backdoor into your corporate network.

Canon, long associated with cameras and office printing hardware, is now offering a tiered cybersecurity subscription aimed at protecting endpoint devices, documents, and data.

The offering includes two tiers: Enhanced and Premium - the former covers basics such as firmware updates and data backup, while the latter introduces proactive monitoring, threat detection, and rapid device recovery.

Canon security concerns

The launch follows closely on the heels of serious security concerns related to Canon's print infrastructure, including high-severity driver vulnerabilities and a possible network breach advertised on underground forums.

Just days before the new subscription service was announced, Microsoft’s offensive security team disclosed a critical vulnerability, CVE-2025-1268, affecting Canon’s printer drivers.

The flaw, which scores 9.4 on the CVSS scale, could enable attackers to halt printing or execute arbitrary code under certain conditions.

Canon issued advisories and urged users to update vulnerable drivers, particularly those tied to several production and office printer models.

While patching is essential, the persistence of such flaws highlights the broader risks that poorly secured print infrastructure can pose.

Adding to this unease, Canon has reportedly become the subject of underground listings offering root-level access to its internal firewall systems.

Though the company has not confirmed any such breach, security analysts continue to monitor claims circulating on dark web forums puporting to offer access allowing attackers to create backdoors or move laterally through the corporate network

Against this backdrop, Canon’s new Subscription Security Services may be seen as both a response to reputational risk and an attempt to reposition itself as more than a printer supplier.

Though these services resemble endpoint protection platform (EPP) features, they are focused solely on Canon’s device environment.

Whether this strategy gains traction depends on more than just Canon’s execution, as there is still a fair amount of skepticism around traditional hardware companies taking on roles typically reserved for antivirus and cybersecurity providers.

For businesses managing large fleets of print devices, consolidating protection through the hardware vendor may offer convenience, but it raises questions about scope, integration, and oversight.

If others in the hardware sector begin offering similar subscriptions, the market could see a gradual expansion of what constitutes EPP.

Via Cybersecurity News and Security Week

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