Our team was tasked with the challenge of improving existing email protection systems, so as to increase the detection of phishing attacks for the client’s product. Our security intelligence engineers used state-of-the-art data science and machine learning algorithms to create accurate models for phishing threat detection based on data sets provided by the client. The model training process has been automated to allow frequent updates, timely propagation of the latest model, and to ensure the best detection of the newest types of phishing attacks.
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We created accurate models for phishing threat detection, using state-of-the-art data science and machine learning algorithms.
Phishing has long been a threat to businesses and causes tremendous economic loss each year. Attackers convince users to open harmful email attachments or clicking malicious links that ask them to enter personal information at fake websites. Hackers are constantly improving the sophistication of their techniques, which greatly complicates the detection of such threats. Furthermore, it requires frequent updating of relevant security mechanisms. Our client needs to deal with phishing on a daily basis while providing email services.