Written by 12:05 pm AI

### Enhancing Detection Rates with Rich Datasets and AI Models

AI has become a major talking point for cybersecurity vendors since the release of ChatGPT a year a…

Vice President of sales for SonicWall in the Asia-Pacific and Japan region, Debasish Mukherjee, highlights the significant impact of artificial intelligence in the realm of cybersecurity since the introduction of ChatGPT a year ago. According to Mukherjee, the richness of datasets utilized to train AI systems is instrumental in empowering AI and machine learning to effectively detect cyber threats.

Mukherjee emphasizes, “Data serves as the foundation of AI.” SonicWall is actively engaged in training its AI tool with a vast reservoir of 30 years’ worth of data to enable real-time, in-depth scrutiny for threat detection.

By integrating AI capabilities, SonicWall aims to enhance risk monitoring precision, recommend remedial actions, and facilitate software configuration, ultimately offering a holistic security platform to aid customers in streamlining tool management across their enterprises.

During a recent interview with the Information Security Media Group at the Mumbai Summit, Mukherjee delved into various topics including current business security challenges, the application of machine learning and AI for bolstering security measures, as well as sharing insights and a strategic roadmap for SonicWall’s future endeavors.

With a background encompassing IT sales, business development, and partner management, Mukherjee brings a wealth of experience from his tenure at Dell and SonicWall. His expertise lies in translating customer feedback into cohesive business strategies to drive revenue growth and enhance market presence.

Visited 1 times, 1 visit(s) today
Last modified: December 1, 2023
Close Search Window
Close