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    Home»Gaming Phones»Google exposes an Indian -based safety charter, sharing how it is using AI to counter online fraud and scams
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    Google exposes an Indian -based safety charter, sharing how it is using AI to counter online fraud and scams

    mobile specsBy mobile specsJune 17, 2025No Comments4 Mins Read
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    Google exposes an Indian -based safety charter, sharing how it is using AI to counter online fraud and scams
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    Google, while unveiling its safety charter for India, highlighted how it is using artificial intelligence (AI) technology to identify and prevent cybercrime examples in its products. Mountain View -based Tech Dev highlighted that with the height of India’s digital economy, a trust -based system was needed. The company is now using AI to detect and remove the risks in its products, programs across the country, and in enterprise software. At the same time, Google also highlighted the need to make AI with responsibility.

    Google’s Safety Charter for India highlights the main milestone

    In a blog post, Tech Dev described its successes in the Enterprise Software as well as the successful identification and prevention of scams in enterprise software. Explaining the focus on cybersecurity, Google quoted a report as saying that Indian consumers in UPI -related fraud RS. The rupee will cost more. 1,087 crore in 2024, and the total financial losses caused by non -checking cyber crime allegedly. 20,000 crore in 2025.

    Google also said that bad actors are rapidly adopting AI to enhance cybercrime techniques. Some of these include AI-generated materials, deep faxes, and sound cloning to relieve convincing fraud and scams.

    The company is linking its policies and security technologies suit to India’s Dijikoch program to better protect the country’s digital landscape. Google has also contributed with the Indian Cyber ​​Crime Coordination Center (14C) to “strengthen its efforts to user awareness on cybercrime, in a phased approach in the next two months.”

    Reaching the company’s successes in this place, Tech Dev said it removed 247 million advertisements and suspended 2.9 million fake accounts, which are violating its policies, including compliance with state and country rules.

    In Google Search, the company claims to use the AI ​​model to catch 20 times more scheduled web pages before appearing on the results page. It is said that this platform has reduced examples of fraudulent websites by more than 80 % and 70 %, respectively.

    Google Message has recently adopted the feature of detection of a new AI -powered scam. The company claims that the security tool flags more than 500 million suspicious messages every month. This feature is also warned to users when they open the URL sent by the senders whose contact details are not saved. The warning message is said to have been shown more than 2.5 billion times.

    The company’s app market plus for Android, Google Play, claims that it has blocked about 6 million attempts to install high risk apps. It consisted of more than 220,000 unique apps that were being installed on more than 13 million devices. Its UPI app, Google Pay, also showed 41 million warnings when the system found that transactions from the transactions were possible.

    Google is also working to secure its enterprise -based products from the potential risks of cyberscript. The company, together with the Deep Mind, launched the project Zero to discover the first unknown risks in famous enterprise software like SQ Late. At the SQ late risk, the company used an AI agent to detect this error.

    The company is also cooperating with IIT Madras to research post quantum cryptography (PQC). This refers to the cryptographic algorithms that are designed to secure the system from the potential threats caused by quantum computers. These algorithms are used for encryption, digital signatures and key exchange.

    Finally, on the responsible AI front, Google claimed that its models and infrastructure internal systems were fully examined against anti-attacks, as well as AI-Assisted Red-Taming efforts.

    The accuracy and labeling AI-Infield content L, Tech Dev is using Sanhid to embed the hidden watermark on the text, audio, video and photos created by its models. Google also needs to disclose AI-infield content to its YouTube content. In addition, the double check feature in Gemini allows users to indicate any mistakes by running a chatboat by running Google Search.

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