Indian Railways Deploys AI To Block 3.5 Crore Fake IDs, Ensuring Fair Ticketing

Indian Railways has taken a decisive step to combat fraudulent ticketing practices by leveraging artificial intelligence to identify and block 3.5 crore fake user IDs. The initiative aims to prevent unauthorized bookings, streamline ticketing operations, and enhance accessibility for genuine passengers.  

Key Highlights Of Indian Railways' AI Initiative  
- Indian Railway Catering and Tourism Corporation (IRCTC) has successfully identified and eliminated 3.5 crore fraudulent user IDs created by unauthorized agents  
- AI-driven monitoring systems have significantly reduced system congestion, enhancing the booking experience for passengers  
- Daily new user ID registrations have dropped from 60,000–65,000 to approximately 10,000–12,000, reflecting the impact of AI enforcement  
- Over 7,000 disposable email accounts used for fraudulent activities have been blocked in recent months  

AI’s Role In Securing Fair Ticketing  
Unauthorized agents exploited loopholes in the railway’s online booking system, creating multiple fake accounts using disposable email IDs to gain an unfair advantage in securing tickets. By using advanced AI-driven fraud detection, IRCTC has managed to neutralize these tactics, ensuring a level playing field for all passengers.  

Impact On Ticketing Efficiency  
The implementation of AI-powered verification has resulted in a smoother booking process, reducing system overload and improving accessibility for legitimate travelers. The decline in new user ID registrations highlights the effectiveness of this initiative in curbing ticketing fraud.  

Future Steps And Digital Advancements  
Indian Railways plans to further refine its AI-driven security protocols, strengthening online booking integrity while improving transparency and accessibility for passengers. This strategic use of AI aligns with broader digital transformation efforts across India’s railway network.  

Sources: India Today, MSN, Economic Times, Business Standard.