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    Home»Security»How to compete with Google’s AI new scam strategy – and how can you stay one step ahead
    Security

    How to compete with Google’s AI new scam strategy – and how can you stay one step ahead

    PineapplesUpdateBy PineapplesUpdateMay 8, 2025No Comments5 Mins Read
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    How to compete with Google’s AI new scam strategy – and how can you stay one step ahead
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    How to compete with Google’s AI new scam strategy – and how can you stay one step ahead

    Jeddnet

    Scammers are always looking to take advantage of devices and technologies that we use to steal our personal information, money or both. Therefore, companies like Google should protect us from hackers, security dangers and other threats. It is also why we should take responsibility for our safety.

    In a blog post published on Thursday, Google explains how it fails online scam in major products and how we can protect ourselves.

    Google scam identity system

    With the largest part of the search engine market, Google uses AI to detect hundreds of crores of malicious and suspected search results each day. With the help of AI, the company said that the system of detecting its scam is capable of capturing the scam pages 20 times more than before. In particular, the latest progress in AI helps Google analyze more texts on the web, identify scam campaigns, and detects emerging dangers on its search page.

    Also: Multimodal AI creates new security risk, CSEM and weapon make information

    As an example quoted in blog posts, Google has seen a significant increase in the attackers implementing airline customer service providers. With this scam, the prevalent, which passes Google for passenger Google, airline customer service, can be taken to a malicious phone number, where the scam tries to capture their personal information. Thanks to AI, the company is capable of reducing the number of such scams more than 80%.

    Chrome is another Google product that provides increased safety protection. Its increased safety mode in safe browsing is its highest level of protection, which provides tight protection compared to standard safety mode. Now, AI makes that security even stronger.

    Google’s on-device large language model (LLM) on desktops, Gemini Nano, analyzed immediately on risky and prickly websites, which prevents users from new scams not seen earlier. As an example, Gemini Nano Remote is helping to thwart a remote tech support scam, one of the largest online hazards. As the next stage, Google wants to increase this security to Android devices.

    Too: Why Google is losing your iron grip on search – and what I use now instead

    Another way that scammers try to pull an attack, which sends you a host of notifications from malicious websites. To address that threat, Google is closing the new AI-operated warnings in Chrome for Android. If AI detects a scam notification, the material is blocked, and you will receive an alert with the option to finish the membership, see the blocked material, or allow future information from that site if you think the warning was a wrong positive.

    Google spam notification

    Google

    Many scams also reach you through phone calls and text messages. Although calls and texts may look innocent at first, they can easily develop into malicious attacks. Here, Google recently rolled out Android users from these scams and rolled out the AI-operated scam detection in the phone app.

    Google scam call notification

    Google

    In his blog post, Google shared more information about how AI and Machine Learning helped it in fight scams and scammers.

    Google’s defensive equipment uses machine learning algorithms to see patterns, anomalies, and linguistic signals that indicate fraud activity. But scammers are a moving goals as they constantly switch to the strategy. This means that technical giants like Google should stay with them continuously. Keeping that goal in mind, the company has launched an AI-managed version of its anti-scam system over the last three years.

    Too: How to remove your personal information from google search – quickly and easily

    The latest scam fighters use AI to analyze giant versions of text and zero on micro pattern that can indicate coordinated scam campaigns or emerging hazards. As an example, these systems are capable of identifying the interconnected network of fraud websites that may appear to be validly valid.

    The use of AI and LLMS has also helped in Google track scams in various countries and languages. For example, assume that the company finds a scam in English, Hindi, German, Spanish or any other language. In response, LLMs allow their system to detect those scams in other languages, thus protecting more people around the world.

    Tips to save yourself

    Although companies like Google can take necessary steps to protect us from scams and other threats, we should take responsibility ourselves. On that end, the company makes some suggestions to keep in mind.

    1. Check for Luklaic DomainScammers will often use similar domain names to cheat people to follow a malicious link. For example, instead of a valid domain like “thisisgoodlink.com”, cyber criminals can bend it in links like “thisisagoodlink.support”.
    2. Check the web pageBefore you connect with an unknown website that turns into Google search results, get more information about it. One way to do this is to click on the link “about this result”. Then you can learn more about the site to decide if you want to find it.
    3. See for official informationThe search results of Google try to give reliable information. But malicious links can harvest. If you are looking at something like a customer service number, do not necessarily rely on the search results or different pages for that information. Instead, try to visit the company’s official website directly, where it should provide the right phone number.
    4. See out for strange formatting on a siteFinally, scammers are not always able to create a fraud website that looks like a real thing. Stay on the search for strange formatting, unusual fonts, or unexpected symbols or emojis. They can all be signs of a spoof site.

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