Google gave the warning to 180 million users of Gmail, said- a big danger is coming. Google Warns Gmail Users of New Ai Cyber Threat

Cyber attack as AI, Google’s warning to 1.8 billion Gmail users. Google has said that this government, businessman and common users may be in danger.

California: 1.8 billion (180 million) Gmail users around the world have been warned by Tech Giars Google. Google has warned all users about the new cyber security attack named Indirect Prompt Injections. Google has warned that this new threat is risky for people, businesses and governments.

In a blog post, Google has written that with the rapid development of generative AI, new types of threats are increasing in the tech industry, and one such danger is indirect prompt injections. Unlike direct prompt injections, the hacker can directly put a malware command in a prompt through Indirect Prompt Injections. This includes dangerous instructions hidden in external data sources. Google said in a blog post that it may include email, document or calendar invitations that instruct AI to leak user data or do other illegal activities. Google has warned that this may threaten people and institutions. Google also said that this subtle but powerful attack can spread throughout the tech industry and it needs immediate attention and strong security measures.

In an interview to The Daily Record, Tech Expert Scott Palderman said that hackers have also started using Google’s own AI Tool, Gemini for fraud. He said that hackers can send you an email that has a hidden message for Gemini, so that you will inadvertently tell your password, and these instructions will motivate you to give information about your login and password. He said that there will be no link in it by clicking hacking, which makes it even more dangerous.

Meanwhile, there are reports that Google is already taking some new safety measures so that users can be saved from these dangers. The company says it has adopted a multi-level security approach. Google said in her blog that she is taking security measures ranging from Gemini 2.5 model Hardening to Machine Learning (ML) model and system-level safguard.

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