Revolut amps up fight against impersonation scams

Revolut, the global fintech with more than 65 million global customers and 12 million in the UK, is today launching a new in-app feature designed to protect users from one of the most insidious types of fraud: impersonation scams. The new feature detects when a customer opening the Revolut app is on the phone – this includes apps allowing voice calls – and confirms whether they are, or not, talking with a Revolut agent. It goes one step further than similar features in the market, helping customers promptly take the right action to report attempted fraud and keep their funds safe if it is found they’re being targeted.

With the rise of AI-generated deepfake voices and increasingly sophisticated social-engineering tactics, criminals are finding new ways to convince consumers they are speaking to their bank or somebody they trust. Impersonation scams trick victims into believing they’re on a legitimate call with a trusted financial institution or person – often pressuring them to move money to safer accounts, to share sensitive data, or to approve fraudulent transactions.

This threat is accelerating rapidly. Scammers can now generate highly convincing scripts and even synthetic voice mimics. Concerningly, A 2021 study found that only 25% of people can accurately distinguish a deepfake voice from a real one – however, most participants falsely believed they could identify the fakes. This leaves people vulnerable to scams – only adding to the surge of APP (Authorised Push Payment) fraud.

Empowering users with timely, actionable protection

Revolut’s new feature introduces a live in-app banner that appears the moment the app detects the user is on a phone call. The system identifies whether the call is coming from Revolut or from another number and advises accordingly:

  • If the caller is Revolut, the banner will confirm that the call is legit
  • If the caller is not Revolut, the user will see a clear, urgent banner informing them that they are not on a call with Revolut
  • Tapping the banner leads users to actionable protection pathways based on what’s happening.

This real-time contextual system provides an additional layer of defence against impersonation attempts that occur during live calls – a scenario where victims can be caught off guard and vulnerable under pressure.

Rami Kalai, Product Owner at Revolut said: “Revolut is committed to building a safer financial future. As fraudsters adopt AI and advanced deepfake tools, we need to innovate fast to defend our customers and stay ahead of rapidly evolving fraud threats. This new feature not only gives users real-time, contextual warnings in the moment they need them most but also guides them to identify impersonation scams providing clear, actionable steps to keep their money safe while the fraud attempt is happening.”

A broader strategy to protect customers

This launch builds on a suite of recent features introduced by Revolut to protect customers from scams and unauthorised activity. In 2024 alone, Revolut’s advanced fraud-prevention systems saved customers more than £600 million that would have otherwise been lost to scams. Recent releases include:

  • In-App Calls – allowing customers to speak to Revolut directly and securely via the in-app feature, eliminating the need to trust phone numbers received externally in the vast majority of cases.
  • Wealth Protection and Street Mode – features designed to keep transfers safe through biometric verification and delay them, in the case of Street Mode, to contrast specific events like transfer mugging.
  • Enhanced machine-learning systems that detect and block risky transactions before they leave a customer’s account.

The new feature is already active for all Revolut customers with an iOS device. Android users will need to proactively authorise the feature from the Security Hub.

Disclaimer

This feature is optional for Android users and does not guarantee complete protection

Irish consumers 6x more likely to be scammed by falling for AI fakes

The scale and sophistication of fraudulent advertising and AI-generated scams on social media are growing rapidly, making it harder than ever for people to know what’s real. New research from Visa in Ireland reveals that people who mistake fake AI-generated content for real are six times more likely to be tricked by scammers online than those who don’t (73% vs. 12%). This highlights how digital misinformation directly increases vulnerability and underscores the importance of collective action to protect consumers and restore trust in digital platforms.
In Ireland, Visa found that people who are affected by online scams typically lose €124.50 per incident (median amount), costing the Irish economy an estimated €71.8 million annually. The impact goes beyond financial loss, causing emotional distress, increased anxiety and reduced productivity. On average, victims of online scams spend around 8.9 days resolving the issue – which is 44% of the working month.
The way people engage with content online plays a major role. Those who share a post without checking its accuracy first, are five times more likely to be targeted and impacted by online scams compared to those who tend to take a moment to verify it first (35% vs. 6%). Everyday online habits – such as skimming headlines, resharing without verifying and trusting AI-generated content – are creating new vulnerabilities that scammers are quick to exploit:
  • 59% have believed online content was genuine only to later discover it was an AI-generated fake
  • Over a third (38%) rarely read beyond a headline before forming an opinion
  • Almost a quarter (23%) have reshared a post without checking its accuracy
The ripple effect of online scams
As online scams grow more sophisticated and widespread, this shift in consumer behaviour is having a tangible impact on the wider economy. Almost half (42%) have changed how they shop online after being scammed and one in two people (50%) targeted by online shopping scams say they now avoid shopping with smaller or unfamiliar brands.
This is having a particularly significant impact on small and medium enterprises (SMEs) which account for 99.8% of Ireland’s business population and depend heavily on consumer confidence to survive and grow2.
Stepping up the fight against fraud
Visa is stepping up the fight against social media scams – combining decades of experience with cutting-edge technology and working closely with banks, retailers, and digital platforms to restore trust in online commerce.
AI has been central to Visa’s approach to fraud prevention. For over 30 years, the company has used AI powered tools to help keep payments secure and stay ahead of evolving threats. In the last five years alone, Visa has invested $12 billion in technology, including building smart, AI-powered systems that detect suspicious behaviour in real time and stop scams before they reach people.
Awareness is as critical as technology. With almost two in five (39%) people believing AI will make scams harder to spot on social media, Visa is taking proactive steps to close that gap. Tackling fraud requires a united front, and Visa is committed to collaborating across the ecosystem to set new standards for consumer protection.
By working closely with banks, retailers and platforms to ensure consumers have the right advice at their fingertips, Visa is helping people recognise an AI-generated scam, understand how they work, and stay safe in an increasingly AI-driven digital world. Because the more informed people are, the harder it is for scammers to succeed.
Visa is calling on all stakeholders – platforms, banks, retailers and policymakers – to work together to raise the bar for digital trust and consumer protection.
Conor Langford, Visa Country Manager for Ireland said: “AI is transforming how we live, shop, work and connect, but it’s also reshaping the landscape for fraud. Scammers are using the same technology that brings us innovation to deceive and exploit consumers, blurring the line between real and fake. These scams can hurt real people, costing not just money but peace of mind and trust. At Visa, we’re investing in AI-driven fraud prevention and working hand-in-hand with our partners across the ecosystem to strengthen digital trust. The more informed people are, the safer our digital economy becomes. Together, we can build a more secure digital future for everyone.”
Elaine Burke, Tech journalist & host of the For Tech Sake podcast, warns: “It’s becoming increasingly difficult for people to be certain of what’s real and what’s not online. Social media feeds are flooded with content generated using AI, which is not always disclosed. This same generative AI has made it easier for scammers to create content that looks completely convincing and blends into feeds where AI slop has become the norm. Scammers can even selectively target those who interact with this type of content, knowing they are more likely to engage with it. That’s why education and awareness are so important. The more aware you are of scammers’ methods, the less likely you are to become their next success story.”
Spot the Scam: Five Smart Ways to Stay Safe on Social Media
Question the source
Scammers often mimic legitimacy with fake business pages, slick ads, AI-generated celebrity endorsements, and convincing personal messages. These tactics can look incredibly real. Before you click, pause and ask: Is this trustworthy? A moment of doubt can save you from a costly mistake.
Take a breath
Urgency is a scammer’s best friend. Promises of free gifts, massive discounts, or “limited-time” offers are designed to rush your decision. Instead, slow down. Check if the offer is realistic, research the company, read reviews and visit the official brand website before sharing any personal information.
Verify the sender – not just the profile
A message from a friend, influencer, or organisation asking for money or personal details? Don’t assume it’s legit. Confirm independently: call the person, use a verified website, or contact the business directly. Scammers often hijack real accounts to appear authentic.
Stay secure and report suspicious activity
Protect your accounts by turning on extra security features like two-factor authentication (2FA) or multi-factor authentication (MFA) where possible. Keep your apps and devices updated and regularly review your privacy settings. If you spot a suspicious ad, post or account, report it to the social platform – and to your bank if money is involved.
Pay securely – or not at all
Never share your bank details over social media. If someone asks you to send money via bank transfer, it’s likely a scam. Always use secure payment methods that offer buyer protection. If that’s not an option, walk away.
For more information on how to pay safely, please visit: www.visa.ie/pay-safely-with-visa.html

Google Introduces Nano Banana Pro

Just a few months ago Google released Nano Banana, our Gemini 2.5 Flash Image model. From restoring old photos to generating mini figurines, Nano Banana was a big step in image editing that empowered casual creators to express their creativity. Check out whats new in the release below

Today, we’re introducing Nano Banana Pro (Gemini 3 Pro Image), our new state-of-the art image generation and editing model. Built on Gemini 3 Pro, Nano Banana Pro uses Gemini’s state-of-the-art reasoning and real-world knowledge to visualize information better than ever before. 

How Nano Banana Pro helps you bring any idea or design to life 

Nano Banana Pro can help you visualize any idea and design anything – from prototypes, to representing data as infographics, to turning handwritten notes into diagrams. 

With Nano Banana Pro, now you can:

Generate more accurate, context-rich visuals based on enhanced reasoning, world knowledge and real-time information 

With Gemini 3’s advanced reasoning, Nano Banana Pro doesn’t just create beautiful images, it also helps you create more helpful content. You can get accurate educational explainers to learn more about a new subject, like context-rich infographics and diagrams based on the content you provide or facts from the real world. Nano Banana Pro can also connect to Google Search’s vast knowledge base to help you create a quick snapshot for a recipe or visualize real-time information like weather or sports. 

Generate better visuals with more accurate, legible text directly in the image in multiple languages 

Nano Banana Pro is the best model for creating images with correctly rendered and legible text directly in the image, whether you’re looking for a short tagline, or a long paragraph. Gemini 3 is great at understanding depth and nuance, which unlocks a world of possibilities with image editing and generation – especially with text. Now you can create more detailed text in mockups or posters with a wider variety of textures, fonts and calligraphy. With Gemini’s enhanced multilingual reasoning, you can generate text in multiple languages, or localize and translate your content so you can scale internationally and/or share content more easily with friends and family.

 

Create high-fidelity visuals with upgraded creative capabilities 

  • Consistency by design: With Nano Banana Pro, you can blend more elements than ever before, using up to 14 images and maintaining the consistency and resemblance of up to 5 people. Whether turning sketches into products or blueprints into photorealistic 3D structures, you can now bridge the gap between concept and creation. Apply your desired visual look and feel to your mockups with ease, ensuring your branding remains seamless and consistent across every touchpoint.

  • Studio-quality creative controls: With Nano Banana Pro’s new capabilities we are putting advanced creative controls directly into your hands. Select, refine antransform any part of an image with improved localized editing. Adjust camera

angles, change the focus and apply sophisticated color grading, or even transform scene lighting (e.g. changing day to night or creating a bokeh effect). Your creations are ready for any platform, from social media to print, thanks to a range of available aspect ratios and available 2K and 4K resolution.

How you can try Nano Banana Pro today 

Across our products and services, you now have a choice: the original Nano Banana for fast, fun editing, or Nano Banana Pro for complex compositions requiring the highest quality and visually sophisticated results. 

  • Consumers and students: Rolling out globally in the Gemini app when you select ‘Create images’ with the ‘Thinking’ model. Our free-tier users will receive limited free quotas, after which they will revert to the original Nano Banana model. Google AI

Plus, Pro and Ultra subscribers receive higher quotas. For AI Mode in Search, Nano Banana Pro is available in the U.S. for Google AI Pro and Ultra subscribers. For NotebookLM, Nano Banana Pro is also available for subscribers globally. 

  • Professionals: We’re upgrading image generation in Google Ads to Nano Banana Pro to put cutting-edge creative and editing power directly into the hands of advertisers globally. It’s also rolling out starting today to Workspace customers in Google Slides and Vids
  • Developers and enterprise: Accessible via the Gemini API and Google AI Studio, and in Google Antigravity to create rich UX layouts & mockups; enterprises can start building in Vertex AI for scaled creation today and it’s coming soon to Gemini Enterprise. 
  • Creatives: Available to Google AI Ultra subscribers in Flow, our AI filmmaking tool, to give creatives, filmmakers and marketers even more precision and control over their frames and scenes. 

How to identify AI-generated images in the Gemini app 

We believe it’s critical to know when an image is AI-generated. This is why media generated by Google’s tools are embedded with our imperceptible SynthID digital watermark. 

Today, we are putting a powerful verification tool directly in consumers’ hands: you can now upload an image into the Gemini app and simply ask if it was generated by Google AI, thanks to SynthID technology. We are starting with images, but will expand to audio and video soon. 

In addition to SynthID, we will maintain a visible watermark (the Gemini sparkle) on images generated by free and Google AI Pro tier users, to make images even more easy to detect as Google AI-generated.

 Recognizing the need for a clean visual canvas for professional work, we will remove the visible watermark from images generated by Google AI Ultra subscribers. 

You can find out more about how we’re increasing transparency in AI content with SynthID in our blog post.

Create, Share, and Play in the Meta AI App with Vibes

Meta AI app has launched across Europe, and has now introduced Vibes – a brand-new feed for creating, remixing, and sharing short-form, AI-generated videos.

Vibes puts creative media sharing and AI-powered features at the heart of the Meta AI experience, marking a significant step forward in their mission to empower self-expression and fun for even more people.

Putting media generation at the heart of the experience, you can create your own videos using imaginative prompts, or remix what’s already been shared. There are options to add new visuals, layer in music, or adjust styles to match your individual taste.

This is an inherently social and collaborative creation experience, where you’re encouraged to remix, co-create, and build stories together with friends. Videos and content can be shared and posted directly to the Vibes feed, sent to friends, or cross-posted to Instagram and Facebook Stories and Reels.

Key highlights of today’s launch:

  • Vibes Feed: Create, remix, and share short-form, AI-generated videos. Explore a dedicated feed that becomes more personalized to your interests over time.

  • Collaborative Creation: Remix and co-create with friends, share content directly to the Vibes feed, or cross-post to Instagram and Facebook Stories and Reels.

  • Powerful AI Tools: Building on Meta AI’s availability across the apps you already know and love: Facebook, Instagram, Messenger, and WhatsApp – you can now naturally with your Meta AI assistant to generate and animate images, and edit photos with advanced AI-powered tools – all in one place.

Since launching in the US, Vibes has inspired over 20 billion images made with our AI tools, and media generation in the app has jumped more than tenfold and are now excited to bring this creative energy to Europe.

Please find the full blog post here

AI-Generated Visuals in Esports and Gaming Culture

Artificial intelligence is transforming the world of esports and gaming culture, enabling the creation of high-quality visuals, immersive experiences, and innovative design elements. From character development to game environments, AI-driven tools are streamlining creative processes and opening new possibilities for players, designers, and content creators. Among these advancements, CGDream provides AI-powered solutions that enhance the aesthetics and dynamics of gaming visuals, making game development more accessible and efficient.

Enhancing Game Art with AI

AI-powered tools have revolutionized the way game assets are created, reducing the time and effort required to design intricate characters, environments, and animations. The use of an AI 3D model generator image to 3D, like https://cgdream.ai/features/ai-3d-model-generator-image-to-3d allows developers to transform concept art into fully realized 3D models, accelerating the game development process. These AI-generated models provide designers with a starting point that can be refined further, maintaining artistic vision while optimizing workflow efficiency.

Artists and game studios can leverage AI-driven tools to create detailed textures, lighting effects, and visual enhancements that would otherwise require extensive manual effort. By utilizing AI-generated art, game developers can maintain a high level of detail while streamlining production cycles, allowing for more innovative and expansive game worlds. Additionally, AI can assist in generating realistic motion capture animations, improving the fluidity and authenticity of character movements in games.

AI-generated concept art is another game-changer in development. Designers can input brief descriptions or sketches and let AI generate fully rendered visuals, providing inspiration and quick iterations of different artistic directions. This rapid prototyping accelerates the creative process and allows game developers to test multiple aesthetic approaches before committing to final designs.

AI’s Role in Esports Content Creation

Beyond game development, AI-generated visuals play a crucial role in esports content creation. Streaming platforms, tournament organizers, and gaming influencers utilize AI-driven graphics to enhance broadcasts, promotional materials, and branding elements. AI-powered animation and visual effects contribute to the dynamic aesthetics of esports events, making them more engaging for audiences worldwide.

By integrating AI-generated visuals into promotional campaigns, esports organizations can create unique team branding, immersive overlays, and real-time in-game analytics visuals. AI tools enable content creators to quickly generate high-quality assets, ensuring that their streams and social media content remain visually appealing and competitive in an ever-evolving industry.

Additionally, AI-driven automation helps in editing and enhancing video content. AI tools can analyze game footage, detect key moments, and generate highlight reels with advanced visual effects, reducing the workload for content creators. This allows esports teams and influencers to focus on engagement and strategy while AI handles time-intensive production tasks.

Personalization and Player Engagement

AI-driven visual technology also enhances the personalization of gaming experiences. With AI-generated assets, players can customize avatars, skins, and in-game environments in ways that were previously time-consuming or unavailable. This increased personalization fosters a deeper connection between players and their gaming experiences, making esports and gaming culture even more engaging.

The use of AI-generated character models and adaptive designs allows for the creation of dynamic, evolving game environments. As AI continues to advance, developers can implement procedural generation techniques that create unique landscapes and structures tailored to each player’s style and preferences. AI-powered NPCs (non-playable characters) can also be customized with realistic expressions and behaviors, enhancing immersive storytelling in both single-player and multiplayer games.

With AI-driven technology, in-game environments can evolve in real time, responding to player actions and behaviors. AI can modify terrain, adjust lighting conditions, and generate dynamic weather effects, creating more realistic and engaging worlds. These adaptive systems elevate immersion, making every playthrough a unique and personalized experience.

The Future of AI in Gaming Visuals

As AI technology progresses, the impact of AI-powered solutions on gaming and esports will continue to expand. AI-driven tools will refine animation quality, improve texture generation, and enhance real-time rendering capabilities, allowing for visually stunning gaming experiences. With the increasing adoption of AI in game design and esports production, AI-generated visuals will remain a fundamental element in shaping the future of interactive entertainment.

The integration of AI with gaming engines such as Unreal Engine and Unity is already pushing the boundaries of real-time rendering, allowing developers to create hyper-realistic visuals with reduced rendering times. AI-powered upscaling is improving resolution quality, enabling older assets to be repurposed for next-gen gaming experiences. AI’s ability to automate tedious artistic tasks also means that smaller indie studios can produce high-quality visuals without requiring large development teams.

With the rise of AI in gaming, developers, esports professionals, and content creators will benefit from greater accessibility to high-quality assets and streamlined production processes. Whether used for game development, esports branding, or content creation, AI-generated visuals are revolutionizing gaming culture and pushing the boundaries of digital artistry. As AI technology advances, its role in esports and gaming will only grow, offering endless creative possibilities for both professionals and enthusiasts alike.

Easy Ways to Spot AI-Generated Content for Non-Techies

Around 12% of businesses are already using AI for content creation, making this one of the most common applications for generative artificial intelligence. 

That said, there’s no denying the fact that content generated through AI is different from images and texts from human creators.  

So, how can you identify texts and images that have been created through AI?

3 Ways to Identify AI Text

With almost 850 million monthly visitors, ChatGPT is the most popular generative AI language tool available–but it’s far from the only option. 

Here are some tips you can use to identify content generated through ChatGPT and other AI platforms. 

#1. Check for Repetition of Common Terms

The vast majority of generative AI language models attempt to predict the next letter in a sentence based on your input. 

However, this also means that these language models are likely to repeat common words like “the,” “it,” and “is.” Rather than identifying the repetition and adjusting it, AI models usually look over this pattern. 

So, if a piece of content repeats these common words to the point of being noticeable, it may be a sign it was generated through AI. 

#2. Review Sentence Length, Punctuation, and Other Patterns

Most of us read at a 7th or 8th grade-level in terms of comprehension. 

So, when AI platforms like ChatGPT generate written content for us, they tend to follow readability best practices to the extreme, which usually results in visible patterns. 

This includes things like:

 

  • Same sentence length: humans like reading shorter texts, and AI platforms know this, so they tend to write short sentences that are roughly the same length, creating a monotonous tone;
  • Punctuation: likewise, you may also notice patterns in punctuation like a comma, colon, or semicolon every so often, so the point that it becomes noticeable;
  • Platform-specific watermarks: this is a more advanced strategy developed by computer scientists. The idea is that you can identify invisible “watermarks,” which consist of variables like specific word choices to help identify AI-generated text. 

The watermarks technique was developed by independent researchers. 

That said, OpenAI, the company behind the creation of ChatGPT, has confirmed it is developing these watermarks to make AI content easy to identify later on. 

#3. Verify Typos and Grammar Errors

Texts written by AI rarely ever have typos or grammar mistakes, and this in itself can be a way to identify artificial intelligence content. 

The reality is that human text is usually filled with typos, grammar mistakes, and inconsistencies. Not only this, but we tend to bend the rules and manipulate language to help us get our point across. 

AI language models lack this ability, so if you notice that a piece of writing is too pristine and robotic, it may have been created by an AI platform. 

3 Ways to Spot AI Images

AI images portraying shocking scenarios have flooded the web over the last few years–but many of the most notorious cases have actually been the work of AI. 

Here are a few ways you can differentiate images created by AI from real photographs. 

#1. Pay Attention to Fingers and Teeth

All AI models need to be trained through a database that includes images. However, not all images in these databases include complete images of hands and smiles. 

Because of this, it’s common for AI platforms to struggle with the creation of teeth and fingers. So, if you want to know if an image was created or doctored using AI, start by checking that the fingers and teeth have the right number of extremities and proportions. 

#2. Look at Unnatural Smoothness

Another common mistake that AI platforms make when creating images is generating overly smooth textures

This issue can be noticed on all surfaces, including the skin of the people in the image, their clothing, and even on secondary elements. 

#3. Assess the Logic of the Image

With text-based content, it’s necessary to read at least part of it to determine where it came from. Images, on the other hand, are easier to assess visually. 

An effective way to determine if an image was generated through AI is to assess the logic of the elements inside of the frame. 

For instance, the famous pictures of a beached great white shark that went viral were quickly disproved after social media users noticed that the characteristics of the animal were slightly different in every image. 

How Will AI-Generated Content Impact the World?

It’s impossible to predict the impact of AI-generated content and how it will shape society. 

On the one hand, the biggest effect of AI may be a boost in productivity and efficiency, given that artificial intelligence can be used to create content at scale. 

That said, AI can also be used to spread misinformation in many formats, including text, images, and even deepfake videos that have the potential to be extremely damaging at a social level. 

With that said, it’s paramount to have a good cybersecurity culture in place to avoid getting your data breached and cracked when using AI tools. 

Try a VPN to protect your sensitive information when playing with the generative AI, and don’t forget that everything you put out there–can be used against you.

Conclusion

AI tools have already changed the way we generate content for marketing and entertainment. 

That said, it’s essential for us to retain the ability to differentiate between AI and human content to understand the potential impact these texts and images can have on humans. 

While already difficult, it’s possible to identify AI text by checking for repetition, identifying patterns, and even using artificial intelligence platforms. 

Likewise, you can usually stop AI images due to the distinct appearance of fingers, teeth, surface smoothness, and the overall logic of the image.

All in all, artificial intelligence content is already a major trend that will continue to grow and shape how we view modern brands.