US EditionGoogle to scale up AI-powered fraud detection and security operations in India
HYDERABAD, TELANGANA, INDIA, JUN 17 – Google's Hyderabad centre will focus on AI-driven fraud detection, safeguarding government and enterprises, with Google Pay preventing Rs 13,000 crore in fraud in 2024, officials said.
- Google inaugurated its Safety Engineering Centre in Hyderabad on June 18, 2025, focusing on AI-driven security and fraud detection in India.
- The launch responds to rising digital fraud in India, including an 85% year-over-year increase in UPI fraud valued at approximately $127 million last year.
- Google employs its Gemini AI model to improve threat detection speed by 300%, issuing 41 million scam warnings through Google Pay and blocking over 500 million suspicious messages monthly via Google Messages.
- Heather Adkins, Google Security VP, emphasized extensive AI testing and frameworks like the Secure AI Framework to prevent misuse while urging machine-speed responses to evolving cyber threats.
- The centre aims to advance cybersecurity, responsible AI, and digital safety, supporting India’s digital growth amid unique challenges and increased surveillance risks in the country.
17 Articles
17 Articles
Google Opens Cybersecurity Hub in Hyderabad to Strengthen India’s Digital Safety Infra
Google has launched its first Google Safety Engineering Centre (GSEC) in the Asia-Pacific region in Hyderabad to aid India’s digital safety infrastructure, making it only the fourth such centre globally. The facility was inaugurated on Wednesday by Telangana CM Revanth Reddy, alongside state IT minister D Sridhar Babu and other top government officials. The launch follows Google’s ‘Safety Charter’ for India’s AI-led transformation, which was un…
Google has taken important steps to prevent cyber fraud in India by launching Digikavach in 2023. The company said that in 2024, Google Pay has prevented fraud worth Rs 13 thousand crores. The company has unveiled a safety charter which focuses on online fraud, cyber security and AI development. Let's know the full details.
Coverage Details
Bias Distribution
- 40% of the sources lean Left, 40% of the sources lean Right
Factuality
To view factuality data please Upgrade to Premium
