"If I am talking about artificial intelligence (in cybersecurity), these techniques help improving management -- its collecting, co-relating lot of data, working on it, fixing it and giving actionable intelligence to work on," Delzad Mirza, Chief Information Security and Data Protection Officer at Shapoorji Pallonji Group said during a session of the Cyber Warfare Symposium 2021. In a panel on the application of AI and machine learning in cybersecurity, Mirza, who was accompanied by Sanil Nadkani - CISO at Byju's FutureSchool, Vasudevan Nair - CISO and Head of IT at Writer Corporation, and Pawan Chawla - CISO at Future General Life Insurance, discussed AI's role in threat detection, patching activities, and more. Offensive guys are one step ahead: Mirza Cybersecurity is labour intensive: "Traditionally if I look at cybersecurity, it is always and is a feat dominated by resource-intensive efforts. We need big teams, and everyone has to do a specific job that is manual; they need to rack their brains; there is data overload; So it is very labour intensive," Mirza said. Defence actors are slow: Since there are a lot of steps involved when it comes to monitoring cybersecurity threats, threat hunting, and vulnerability management, Mirza said that "defensive guys" are slow. Defensive actors were defined by the panelists as organisations and entities defending their critical infrastructure. "That's why the defensive guys are a bit slow, whilst the offensive guys are a one step ahead because they dont need to do that (resource-intensive work). They (offensive actors) just…
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AI has been key in automating various cybersecurity practices: Shapoorji Pallonji CISO
A conversation among senior-level security officers brings up the doubtful advantages of wielding AI for cyber defence.
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