Geo Focus: Asia , Geo-Specific , Network Firewalls, Network Access Control

How AI Models and Rich Datasets Can Improve Detection Rates

SonicWall's Debasish Mukherjee on Training Generative AI to Improve Cybersecurity
Debasish Mukherjee, vice president, sales, Asia-Pacific and Japan region, SonicWall

Artificial intelligence has become a major talking point for cybersecurity vendors since the release of ChatGPT a year ago. But AI and ML are nothing new, and the real power behind using them to detect cyberthreats comes from the richness of datasets used to train the AI algorithm, said Debasish Mukherjee, vice president of sales for the Asia-Pacific and Japan region at SonicWall.

See Also: How to Strengthen Your Organisation's Last Line of Defense: Your Human Firewall

"The fundamental of AI is data. At SonicWall, we have 30 years' of data that we are using to train our AI tool for real-time, deep-memory inspection," Mukherjee said.

SonicWall focuses on providing a complete cybersecurity platform to help customers simplify the management of tools across the enterprises, and it has incorporated AI to help improve threat detection rates, suggest remediation measures and support software configuration.

In this video interview with Information Security Media Group at the Mumbai Summit, Mukherjee discussed:

  • Today's enterprise security challenges;
  • Harnessing AI and machine learning for security;
  • SonicWall's road map and plans.

Mukherjee has diverse sales, business and partner leadership experience in the IT industry and has worked with Dell and SonicWall. He translates customer insights into integrated business strategies to drive profitable sales and increased wallet share.

About the Author

Brian Pereira

Brian Pereira

Sr. Director - Editorial, ISMG

Pereira has nearly three decades of journalism experience. He is the former editor of CHIP, InformationWeek and CISO MAG. He has also written for The Times of India and The Indian Express.

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