How Hexaware’ s AI-first Approach is Transforming Banking
Hexaware is helping banks defend against increasingly sophisticated cyber threats while delivering significant automation gains
Modern banking has never been more at risk, with malicious actors operating globally to create new scams and methods to con someone out of their money.
With these increasingly sophisticated cybersecurity threats, alongside heightened regulatory compliance requirements, banks need support in order to keep people’ s money safe and stay within the guidelines.
This is where Hexaware Technologies comes in, built on the mantra of AI-led, human intelligence-perfected solutions to businesses, positioning itself as a trusted partner for core banking transformations. The company’ s AI-first approach and focus on mid-market clients offer a compelling alternative to traditional large-scale providers.
Addressing Critical Cybersecurity Challenges The threat landscape facing banks has evolved dramatically, particularly with the integration of artificial intelligence into cyberattacks. Ravishankar Subramanian, Executive Vice President & Global Head of Banking Solutions, says:“ With the advent of AI, these attacks have become very smart.
“ People are using the power of AI to actually hack into banks’ networks, impersonate people and also impersonate transactions.” To combat these sophisticated threats, Hexaware has developed its Trust Framework, which goes beyond traditional security measures by monitoring behavioural patterns. The system creates personalised baselines for users, flagging unusual activity that might indicate compromise.
Ravishankar notes:“ If someone logs in and has the habit of checking their balance first every day and then go and do other transactions, but on a particular day they log in and skip the balance, choosing instead to do something else, that’ s a flag.”
24 / 7 with Tensai ® Framework Managing round-the-clock banking operations requires sophisticated automation, which Hexaware addresses through its Tensai ® framework. This digital-first approach eliminates the need for human intervention in routine monitoring tasks.
Ravishankar adds:“ Systems are being watched by other systems and if there is an issue, an alert comes in, then appropriate actions are taken. Sometimes actions are taken by our agentic framework. Sometimes it is triggered to the human in the loop.” The system operates on a tiered escalation model, with different categories of alerts receiving automated responses, agent intervention or human oversight depending on their classification and severity.