COVID-19 , Critical Infrastructure Security , Endpoint Security

A Cloud-Based Approach to Predicting Advanced Threats

Securonix's Harshil Doshi on Leveraging Advanced Analytics
Harshil Doshi, regional director, India and SAARC, Securonix

To improve their ability to predict advanced threats, organizations should use a cloud-based model with advanced analytics powered by machine learning and artificial intelligence, says Harshil Doshi, regional director, India and SAARC, at Securonix.

See Also: What SolarWinds Can Teach Us About Third-Party Risk

"Enterprises need to leverage the big data platform along with security analytics as part of the cloud-based model, which can provide greater visibility into business and operational risks that help in predicting threats," Doshi says.

In this video interview with Information Security Media Group, Doshi offers insights on:

  • How automation helps in threat detection;
  • How to make enterprises cloud-ready;
  • Enhancing visibility using big data.

Doshi, regional director, India, and SAARC, at Securonix, has17 years of cybersecurity experience in sales, pre-sales, and technology evangelism. He formerly worked at Symantec, RSA, and Forcepoint, and is a frequent speaker at industry events.


About the Author

Geetha Nandikotkur

Geetha Nandikotkur

Managing Editor, Asia & the Middle East, ISMG

Nandikotkur is an award-winning journalist with over 20 years' experience in newspapers, audio-visual media, magazines and research. She has an understanding of technology and business journalism, and has moderated several roundtables and conferences, in addition to leading mentoring programs for the IT community. Prior to joining ISMG, Nandikotkur worked for 9.9 Media as a Group Editor for CIO & Leader, IT Next and CSO Forum.




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