Welcome Guest | |
Follow Us:
    
Newsletter Signup:
Adaptive Security Helps HDFC Bank Fight Emerging Threats
To counter security threats coming in various disguises, HDFC Bank has deployed an intelligent self learning authentication technology from RSA By Srikanth RP, InformationWeek, December 22, 2009
      
Even as the number of people in India accessing the Internet grows at a fast clip, it has also simultaneously exposed this population to threats such as phishing. A recent report compiled by the Anti-Phishing Working Group estimates that India was witness to 107 unique phishing attacks in the first six months of 2009. The growing number of phishing incidents has even led India’s apex bank, the RBI to issue a circular to all member banks for cautioning their respective users on the growing number of fraudulent transactions.

As the sophisticated and scale of attacks grew, it prompted HDFC Bank – one of India’s best known private sector banks to take a relook at the way it could tackle online attacks. “Today attacks can emerge from any part of the world and target unsuspecting users. As a bank, we needed a method to proactively fight these threats and stop fraudsters from impersonating us,” says Vishal Salvi, Senior Vice President and CISO, HDFC Bank.

To effectively protect its customers, HDFC Bank needed a solution that could monitor frauds at a global scale, and pass on this intelligence to the bank in India. It also needed this solution to be intelligent enough to learn on its own and help the bank in detecting suspicious patterns in transactions. The bank finally chose RSA’s FraudAction Service, which gives the bank real-time monitoring and protection against trojan, phishing and other online attacks. For example, if the service detects a suspicious e-mail or Trojan emerging from a server, it can initiate steps to take down the server, and prevent it from further propagating messages.
 
HDFC Bank also deployed RSA Adaptive Authentication to provide customers with a convenient online protection through the use of a personal security image and caption to verify the legitimacy of HDFC Bank's website. “To further protect our customers, we have split the user id and password screen into two different pages. This significantly reduces the chances of users being directed to a fake website,” says Salvi.

The significance of RSA’s Adaptive Authentication technique lies in the fact that it has self-learning risk indicators such as device identification and user behavior profiling – which when combined with the intelligence it gets from the RSA eFraudNetwork community – helps the solution tackle both existing and emerging threats. For example, if a customer is used to access his bank from his home and a particular location, the solution uses this information to build a profile of the customer. Subsequent transactions are used to learn about behavior patterns and are incorporated into the risk engine.

“Every transaction is assigned a risk score. If a transaction is above a certain threshold, it gets flagged off and is subject to another authentication,” says Salvi. For example, unusual transactions are duly verified through questions or authentication through SMS, phone and e-mail.

Today, thanks to the intelligent self-learning risk engine, phishing attacks have come down by close to 60 percent while there have been no incidents of frauds. Further, response time to phishing attacks has also been reduced to as little as 5 hours.

Security is always a journey and not a milestone. As attacks get more sophisticated, it is critical for security based solutions to have self learning capabilities. HDFC Bank’s adoption of adaptive security solutions shows the direction that current and future security deployments will eventually take.


blog comments powered by Disqus
Featured Videos


 
    
 
     Analytics & Reports
Tech Center : Understanding The Danger Within
Data Center Automation - 10 Questions to Ask Before Proceeding
Identity Management: 10 Questions to Ask
Tech Center: DBA Guide to Improved Security
Research: 2009 InformationWeek 500 Report
Inteorp Mumbai 2010
Interop Mumbai 2010