Rajesh Maurya, Regional Vice President, India & SAARC, Fortinet
“The cybercriminal marketplace is very good at adopting the latest advances to more effectively detect and exploit vulnerabilities, evade detection, adapt to complex network environments, and maximize profitability. Adversaries will begin to leverage automation and machine learning in their attack tactics, techniques, and procedures (TTP). This isn’t a surprise, as security researchers already use sandbox tools, bolstered with machine learning, to quickly identify previously unseen threats and dynamically create protections. There is no reason why this same approach won’t be used in the other direction: for mapping networks, finding attack targets, determining where those attack targets are weak, blueprinting a target to conduct virtual PEN testing, and then building and launching a custom attack. All done at the AI level, and all fully automated,” observes Rajesh Maurya, Regional Vice President, India & SAARC, Fortinet.
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