Governance , Incident & Breach Response , Security Operations

Data Identification: Machine Learning's Role

Titus' Maheswaran S on Conquering the Challenges
Maheswaran S, regional director, TITUS

Data identification is challenging, especially for unstructured data, says Maheswaran S, regional director, India and SAARC, at TITUS, who says machine learning can help ease the process.

See Also: Key Trends in Payments Intelligence: Machine Learning for Fraud Prevention

"It is easy to come up with a logic when it comes to structured data like credit card or Aadhaar information. But how about financial strategies, marketing strategies? Machine learning can be a big help here," he says.

In a video interview at Information Security Media Group's recent Fraud and Breach Summit in Bengaluru, Maheswaran discusses:

  • Why machine learning cannot be used for all data;
  • How much are CISOs investing in data identification;
  • Why data identification is crucial.

Maheswaran is regional director, India and SAARC at TITUS. He has over two decades of experience working with security technologies and processes.


About the Author

Suparna Goswami

Suparna Goswami

Associate Editor, ISMG

Suparna Goswami is Associate Editor at ISMG Asia and has more than 10 years of experience in the field of journalism. She has covered a variety of beats ranging from global macro economy, fintech, startups and other business trends. Before joining ISMG, she contributed for Forbes Asia where she wrote about the Indian startup ecosystem. She has also worked with UK-based International Finance Magazine, and leading Indian newspapers like DNA and Times of India.




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