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• Netflix has defended the streaming service's first big UI refresh in 12 years
• Fans have vented their fury over the homepage layout's unnecessary changes
• Netflix claims people quietly prefer the updated version

Netflix has defended the platform's first major user interface (UI) redesign in 12 years – and has even claimed the majority of people prefer it to the old landing page's layout.

Per The Hollywood Reporter (THR), Netflix has suggested fans actually prefer the streaming's new look compared to the old one. As THR's article reveals, Netflix says its internal data, plus the year-long beta test it conducted ahead of the new layout going live, vindicates the entertainment behemoth's decision to overhaul its service's UI.

Netflix's assertion comes over a month after it revealed the biggest upgrade to its homepage in over a decade. At the time, the streaming titan confirmed the update's global roll out would begin in earnest, but stated some users would see the redesign sooner than others.

Less than 24 hours after the UI refresh's grand unveiling, which took place on May 7, Netflix fans began reporting that their homepage had been updated – and a number of them weren't happy. Indeed, frustrated fans flocked to social media to say Netflix's "new design sucks" because it made it more difficult to find the type of content they like to stream.

Comment from r/netflix

In the weeks since the best streaming service's layout was overhauled, more customers have been switched over to the redesigned homepage. And, surprise surprise, more people have posted online to express their fury at what they deem to be unnecessary changes. From Netflix's own sub-Reddit to other social media platforms like X/Twitter, consumers have hit out at Netflix's layout renovation.

Now, though, Netflix has suggested those dissenters are just a very vocal minority. Indeed, while a company spokesperson admitted that the streaming giant knew it would face some form of backlash over the changes, the updated UI makes for a better experience. "With bigger boxes, we’re showing more information up front to help you make a better decision," they added. "Instead of seeing 20 or 30 titles at a time, now you’re seeing information at a glance."

Opinion: Netflix users are simply shouting into the void – againComment from r/netflix

This isn't the first time that Netflix fans have criticized decisions made by the video-on-demand (VoD) company. Whether it's the now-annual Netflix price rises, angry users threatening to close their accounts over the removal of certain subscription tiers, the regular cancelation of fan-favorite shows like The Recruit, or Netflix's incredibly divisive decision to crack down on account sharing between households, consumers have grown increasingly exasperated with the most popular streamer around.

But therein lies the problem. Despite the ire Netflix draws when it makes unpopular decisions, it's still the biggest and most-used VoD platform on the market. By the end of 2024, Netflix reported it had 301.6 million subscribers. Its closest rivals, believed to be Prime Video and Disney+, can only boast around 200 million users and 150.2 million customers, respectively. Despite fan frustration over updates like its layout refresh, then, Netflix continues to dominate the streaming landscape.

Netflix is no longer publicly disclosing how many users it has, so we won't know if consumers are voting with their money and canceling their Netflix subscription in the wake of any changes made to the service.

With so many new Netflix movies, plus new seasons of some of the best Netflix shows around, set to debut on the platform before the end of 2025, I can't see millions of active users hitting Netflix where it hurts – i.e. its profit margins. The only way to make its executives sit up and take notice is by closing our accounts in protest over updates like this UI overhaul. Until people vote with their wallets, Netflix will continue to do as it pleases, regardless of whether fans like it or not.

Have you closed your Netflix account over its redesign? Do you actually like the overhaul? Or don't you care either way? Let me know in the comments below.

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• An NHS organisation was hit with a cyberattack
• The attack occurred in May 2024 but was never publicly disclosed
• Attack against NHS Professionals looks to have been a failed ransomware attempt

A cyberattack targeting NHS Professionals, a private company owned by the Department of Health and Social Care, resulted in the theft of its Active Directory data - however the breach was never publicly disclosed, despite the attack occurring in May 2024.

A report from the The Register, quoting a Deloitte incident report, notes attackers used a compromised Citrix account to gain initial access.

Once inside, attackers stole a “highly valuable ntds.dit file and engaged in further malicious activity”. The criminals moved laterally inside the organisation’s network using RDP and SMB share access, although it's not clear how they escalated their privileges up the domain admin level.

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A major event

NHS Professionals provides temporary staff to NHS trusts across England, and the site has over 190,000 healthcare professionals registered, as well as over 1,000 employees.

Insider comments say that the attack is suspected to be tied to Scattered Spider, and looked to be an attempted ransomware attack - perhaps similar to the ransomware attacks carried out by the group earlier in 2025 targeting three huge UK retailers.

The Deloitte report also cites a lack of multi-factor authentication (MFA) on domain accounts as one of the primary reasons that attackers were allowed access. Alongside this, the organisation didn’t have endpoint detection and response solutions deployed across all of its environment, meaning the criminals could move within the network undetected.

“Our cybersecurity systems and future mitigation ensured no disruption to our services, and we found that no data or other information was compromised, despite the attempt,” a National Health Service Professionals spokesperson confirmed.

"We worked quickly and closely with key partners NHS England and the Department of Health and Social Care, and the Information Commissioner's Office, to investigate this incident.”

"NHS Professionals is committed to the highest standards of cyber security and complies with the strict requirements around information governance. We continue to remain vigilant as per our security policies and procedures."

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• The Samsung Galaxy Z Fold 7 and Z Flip 7 could both have a new version of Samsung's ProVisual Engine
• This could allow for higher-quality photos, better digital zoom, and better video stability
• The foldables have also both been certified in South Korea, suggesting they're launching soon

The Samsung Galaxy Z Fold 7 and Samsung Galaxy Z Flip 7 could arrive with a major under-the-hood upgrade that delivers improved photos and videos, based on a new leak.

We've previously heard that the Samsung Galaxy Z Fold 7 could have a new 200MP camera, but that the Samsung Galaxy Z Flip 7 might not be in for any such upgrades, with the same camera hardware as last year tipped.

However, the Z Flip 7 could still be capable of taking better photos than the Samsung Galaxy Z Flip 6, as both upcoming foldables might have an improved version of Samsung's ProVisual Engine AI image-processing tech.

This is according to leaker @PandaFlashPro, who claims that a new version of ProVisual Engine is coming to both the Galaxy Z Flip 7 and the Galaxy Z Fold 7.

This upgrade will apparently allow for better photo quality, better digital zoom quality, and better video stability. So in other words, both photos and videos could look better on these phones than on their predecessors.

"Confirmed"The Galaxy Z Fold 7 | Flip 7 will use Samsung’s New Generation #GalaxyAI Pro-Visual Engine, which will later be Expanded to the Galaxy S25 Series.Main improvements.Better Image OutputBetter Digital Zoom QualityVideo StabilityJune 12, 2025

ProVisual Engine debuted in the Samsung Galaxy S24 series, and it’s a suite of AI tools that works in the background to improve photo and video quality – as well as powering things like Generative Edit, which lets you alter photos you’ve taken.

So it’s not a new thing, but if this leak is right then the Samsung Galaxy Z Fold 7 and Samsung Galaxy Z Flip 7 will get a new and improved version of the tech. However, the source adds that this upgraded version will subsequently land on the Samsung Galaxy S25 series as a software update, so you might not have to buy one of the company’s upcoming foldables to get it.

Certified to launch

In other Samsung foldable news, the Galaxy Z Flip 7 and Galaxy Z Fold 7 have both been certified by SafetyKorea (as spotted by XpertPick).

These certifications don’t tell us much, but it’s mandatory for phones to receive this certification before being sold in South Korea, so this both confirms that the phones are in the works, and suggests they’ll land soon, since this certification would usually happen quite close to launch.

That makes sense, since based on past form we’d expect both handsets to launch in July, with one leak pointing to a July 10 announcement.

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• Half of developers thought about quitting due to poor tech stacks this year
• A tech stack is more than productivity – it defines many developers
• Storyblok CTO calls for full modernization roadmap

The majority (58%) of developers are considering quitting due to poor and legacy tech stacks that reduce their efficiency and productivity, new research has claimed.

86% of the 200 developers surveyed by CMS firm Storyblok say they're embarrassed by their current tech stack, with nearly half (47.5%) considering quitting in the past year as a result of their tech stack, and nearly one in three (31%) considering doing so in the past month alone.

Developers' biggest frustration is having to maintain legacy systems and fix bugs on them (27.5%), while many are also fed up of having to deal with non-technical stakeholders (21.5%). In third place, 14% raised a lack of clear requirements and shifting priorities distracting them from a clear end goal.

Developers aren't happy with in-house tech

Besides the tech dissatisfaction, the developers highlighted how the tech stack they're working with affects their personal image.

Three-quarters (74%) of the survey's respondents claimed that their tech stack significantly influences their professional identity, with one in five (19.5%) going as far as saying it defines them. On the flip side, only 2.5% say it doesn't matter, highlighting the importance of adequate tools and solutions.

In terms of their current tech stacks, half (51%) of developers are frustrated with a lack of key functionality and maintenance difficulty (47%), while many noted an incompatibility with newer technologies and innovations like AI (31%).

"The message to businesses is clear - outdated tech stacks are making your developers unhappy to the point of quitting," noted Storyblok CTO Alexander Feiglstorfer.

With only 4% of respondents believing their current CMS fits their needs, and two in three (67.5%) stating that it holds them back, a better developer experience (29.5%), modern tech stack integration (23.5%), performance and scalability (17.5%) and AI integration (12.5%) are among the most desired improvements.

Feiglstorfer added that pay rises are just a temporary fix to pacify developers, and that companies should commit to a "modernization roadmap" to improve developer satisfaction and retention.

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The IT infrastructure that underpins today’s businesses is unrecognizable from even a few months ago. Every organization, planned or unplanned, has migrated to the cloud with AI intertwined given each enhances the other's capabilities.

Cloud and AI are undeniable game changers for businesses; however both introduce complex cyber risks when combined. Cloud security measures must evolve to meet the new challenges of AI and find the delicate balance between protecting against complex attacks on AI data and enabling organizations to achieve responsible AI innovation.

The marriage of Cloud and AI

Cloud computing provides the infrastructure and resources needed to power AI algorithms, while AI makes cloud services more intelligent, efficient, and user centric. Underpinning this is the development team, running at full speed, creating and deploying new applications that reshape operations, enhance scalability, flexibility, and scrape cost savings where it can. But for those working to secure these shifting environments, it’s like trying to catch smoke. What is secure today may move, morph or even disappear entirely.

According to the Cloud AI Risk Report, cloud-based AI is prone to avoidable toxic combinations that leave sensitive AI data and models vulnerable to manipulation, data tampering and data leakage. As an illustration, this could leave AI training data susceptible to data poisoning, threatening to skew model results. Researchers calculated that almost 70% of cloud AI workloads contain at least one unpremeditated vulnerability.

Rather concerning was the discovery that three out of four organizations using one specific cloud provider for AI services were found to have overprivileged default configurations. Dubbed ‘The Jenga-style’ concept, the research found a tendency for cloud providers to build one service on top of the other, with “behind the scenes” building blocks inheriting risky defaults from one layer to the next, with any single misconfigured service putting all the services built on top of it at risk. The result is users left largely unaware of the existence of these behind-the-scenes building blocks as well as any propagated risk.

Threat Actors are circling

When we talk about AI usage in the cloud, more than sensitive data is on the line. If a threat actor manipulates the data or AI model, there can be catastrophic long-term consequences, such as compromised data integrity, compromised security of critical systems and degradation of customer trust. In addition, training and testing data is an attractive target for misuse and exploitation, as they may contain real information such as intellectual property, personal information (PI), personally identifiable information (PII) or customer data related to the nature of the AI project.

Threat actors are not just targeting AI but also harnessing it. Reports confirm that they have a number of powerful AI tools at their disposal, including AI-driven virtual assistants that can streamline and amplify their attacks. So far this year, there have been reports of threat actors harnessing AI to write malware for ransomware attacks. In fact, FunkSec, according to CheckPoint, is one such group that is believed to use AI-assisted malware development. The danger is that this could see inexperienced actors able to spin up and refine tools quickly to launch their own criminal escapades.

AI powered defenses

AI can be used to search for patterns, for the team to inspect what is happening within the organization's infrastructure and explain results in the simplest language possible. This can help the security team know what is important, the attack paths that could be travelled should a threat actor gain access, and where to best prioritize efforts to shut off these paths to reduce cyber risk. Solutions such as data security posture management (DSPM) and AI security posture management (AI-SPM) are becoming integral to many organizations.

Gartner defines DSPM as “... visibility as to where sensitive data is, who has access to that data, how it has been used, and what the security posture of the data stored or application is.” Put simply, DSPM solutions discover, classify and remediate data risks in cloud environments.

AI-security posture management (AI-SPM) is a cloud native application protection platform (CNAPP) domain that gives security teams full visibility and security of AI workloads, services and data used in training and inference without deploying an agent. It identifies and prioritizes AI resources based on sensitivity, access and risk relationships, providing the context needed to isolate the most critical AI exposures.

In summary

Though standalone DSPM and AI-SPM services act as powerful spotlights to illuminate data and AI resources, if they’re not combined with broader cloud security measures, they can't prevent unauthorized access or breaches that exploit vulnerabilities in the cloud infrastructure.

While the combination of AI and cloud offers immeasurable benefits, it introduces risks that could jeopardize sensitive data and data integrity, ultimately diminishing customer trust and business bottom lines. Organizations need DSPM and AI-SPM to pinpoint their valuable data and AI resources and cloud security solutions to build a secure vault around them.

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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

• Monster Hunter Wilds' second major title update is coming soon
• It's scheduled to release at the end of June 2025
• A new event quest is scheduled to arrive next week, too

Monster Hunter Wilds developer Capcom has now confirmed that the game's next major content patch - Free Title Update 2 - is set to arrive at the end of June.

While no specific release date has been given as of yet, the official Monster Hunter X / Twitter account made the announcement alongside a teaser image of one of the update's highly-anticipated returning monsters - Lagiacrus.

Aside from Lagiacrus - who debuted in Monster Hunter 3 and hasn't been seen since Monster Hunter Generations Ultimate - there are a few things we know are coming in Free Title Update 2 thanks to Capcom's Director's Letter.

Posted to the official Monster Hunter website, the letter (written by game director Yuya Tokuda) confirms the second major update will bring a new high-difficulty Arch-tempered monster. Some weapons are also set to receive improvements, such as the Hammer and Dual Blades.

Several quality of life updates are also on the way, including improved navigation in the Grand Hub, "improved Seikret usability", photo mode adjustments and - perhaps best of all - layered weapons.

That last one, similar to layered armor, will let you cast a different appearance onto your equipped weapons. That's going to be awesome for players running a particular build that also might not like the way their weapon looks by default.

Additionally, Capcom has announced a new event quest will be arriving on June 17. Completion of the quest will earn you a Wudwud equipment set for your Palico companion, allowing you to dress them up as one of the adorable Scarlet Forest denizens.

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Will your AI confidently deliver the right answers or stumble through outdated knowledge while your customers grow increasingly frustrated?

Artificial intelligence (AI) may be changing how businesses interact with customers but there's a critical element that often gets overlooked: the knowledge that powers it. The quality of AI responses directly depends on the information it can access – a relationship that becomes increasingly important as more organizations deploy AI for customer service.

AI is really good at accessing unstructured and structured data and collating it into a well-packaged natural language response. Unlike when you do a Google search, and it comes back with multiple responses (where the level of those answers is largely driven by advertising or other sponsorship) AI looks at the body of knowledge that supports the question being asked.

So, when talking about knowledge-driven AI for customer experience, it's the idea that AI isn't accessing the full scope but rather a well-structured knowledge base. This means companies must carefully choose what information AI can leverage, especially when dealing with decades worth of data.

For example, a customer asking how to make a payment might receive outdated instructions about writing a cheque if the knowledge base contains too much legacy content. By providing a well-structured database which is rich enough to give as many answers as possible but also limiting AI to that particular knowledge base, you can really focus on giving AI the right information to deliver the answers you want customers to receive.

The specificity advantage

When building AI knowledge bases, starting small and narrow before expanding works better than beginning with everything and trying to narrow down. Companies often make the mistake of giving AI access to their entire information universe.

This approach typically creates more problems than it solves. Contact centers especially struggle with AI accuracy when the knowledge base contains outdated information or when AI draws from too many different sources at once. This limitation becomes obvious when you consider AI-generated images. When AI attempts to create images of people, it often produces noticeable errors – too many fingers, oddly positioned hands, or unnatural facial features. AI conversations follow the same pattern.

They appear fine at first glance, but closer inspection reveals gaps in understanding, inappropriate tone, and mechanical empathy. The information provided might be technically correct but lacks the nuance and specificity that customers need. Just as with images, these conversation models improve over time, but the fundamental challenge remains – AI needs well-structured information to avoid these pitfalls.

Experiential learning over algorithms

Ultimately, AI delivers its most reliable performance when confined to specific knowledge and topics. Unlike human agents, AI performs best when it follows a script. This creates an interesting contrast with what we've learned in the BPO industry. Our experience shows that human agents excel when given freedom to go off-script and apply their natural problem-solving abilities.

The best human interactions happen when agents bring their full selves to the conversation. AI, however, functions more like a trainee who needs clear boundaries. You want to keep AI narrowly focused on approved scripts and content until it develops more sophistication. Human agents can provide answers beyond their formal training.

They navigate complex systems, find creative solutions and interpret customer needs in ways that aren't documented. These skills develop through experience and remain challenging for AI to replicate. Today's AI systems can't navigate through interfaces like humans can. They can't click through multiple screens, follow complex processes or interact with CRM systems the way human agents do. AI only knows what exists in its knowledge base.

This limitation highlights why incorporating the lived experience of human agents into AI knowledge bases delivers such dramatic improvements. AI also differs from humans in its approach to uncertainty. It never lacks confidence, even when wrong. AI will state incorrect information with complete certainty if its algorithms determine that's the optimal response.

Human agents learn differently. When customers express frustration or correct a mistake, human agents experience that uncomfortable "oh my gosh" moment that embeds the learning in their conversational memory. Even with limited information, humans adapt quickly. Most AI systems lack this emotional feedback loop, which raises an important question: how do we configure AI to incorporate negative feedback into its knowledge in a meaningful way?

Information architecture is an investment

Creating effective AI knowledge bases requires ongoing attention across several dimensions. The foundation must be structured, current content that accurately reflects your products and services. This isn't a one-time effort but a continuous commitment to maintenance and accuracy. Equally important is establishing appropriate boundaries – giving AI enough knowledge to be helpful while limiting its ability to access irrelevant or outdated information. Improvement must be continuous rather than occasional.

By monitoring where AI struggles and systematically addressing those gaps, organizations keep their systems relevant and effective. Integrating successful human agent interactions represents another critical factor. When you capture what works in human conversations and incorporate those patterns into your AI knowledge base, performance improves significantly. Finally, robust feedback mechanisms allow AI to learn from customer responses without being susceptible to manipulation, creating a system that improves over time.

AI technology will continue evolving, but its effectiveness will always depend on the quality of its knowledge foundation. Organisations that invest in properly structured, well-maintained knowledge systems will see better results from their AI implementations. The future isn't just about deploying more sophisticated AI technologies but building better knowledge ecosystems these technologies can leverage. Your AI is only as good as the knowledge base it's built upon, and getting that foundation right is essential for delivering the customer experience you actually want.

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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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