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Weaponizing Machine Learning Against Cyberthreats

Cyberthreats can take place in different modes that challenges an enterprise’s capacity to manage system meltdowns. Sophisticated DDoS attacks to email phishing, cybercriminals employ any methods imaginable that ruin organizations.

Basic antivirus in work PC is no longer sufficient to curb cyberthreat. Traditional models of cybersecurity strategy generally work for threats which are known and common. However, what if the cyberthreat in progress is not previously encountered? With the lack of right countermeasures, cybercriminals gained the upper hand to succeed. Unprepared enterprises may stand to lose a colossal amount of money for Azure training.

To counter complex cybersecurity risk, machine learning is the best defense of enterprises. Machine learning utilizes advanced analytics to profile and neutralize potential threats. This means cyberthreats are analyzed and potentially removed from the radar. One of such program that harnesses the power of machine learning is Azure certification.

Find out more in this FREE e-book to understand how Azure Sentinels work with example cases that proves its potency.