Since the outbreak of the COVID-19 pandemic forced many businesses around the Middle East to close their offices and abruptly transition to remote working, email phishing attacks have increased both in number and sophistication. This concerning new trend has put the topic of email security as a top priority for many businesses in the region.

According to Mimecast, a provider of cloud cybersecurity services for email, employees now click on three times as many malicious emails as they did before the term “social distancing” entered our collective lexicon.

Determined to better protect its customers against this growing threat, Mimecast has just launched a new artificial intelligence (AI)-enabled tool for email security, called CyberGraph. The tool promises to keep email phishing attacks at bay using machine learning algorithms capable of detecting anomalous behaviors that could be indicative of a malicious email.

“CyberGraph leverages our AI and machine learning technologies to help keep employees one step ahead with real-time warnings, directly at the point of risk,” explains Josh Douglas, threat intelligence lead at Mimecast. “Phishing and impersonation attacks are getting more sophisticated, personalized, and harder to stop. If not prevented, these attacks can have devastating results for an enterprise organization. Security controls need to be constantly updated and improved to outsmart threat actors,” he added.

Whenever CyberGraph determines an email message to be malicious, it displays a color-coded contextual warning banner to warn the user and encourage them to take the right action, such as mark the email as spam.

Also Read: Is Your Phone Hacked? How To Find Out & Protect Yourself

In addition to its ability to distinguish malicious email messages from legitimate ones, CyberGraph can also disarm trackers embedded in emails to keep unauthorized third parties from getting their hands on information that could be used to orchestrate highly targeted phishing attacks.

Like other cybersecurity solutions powered by machine learning algorithms, CyberGraph’s effectiveness will keep improving over time as more users adopt it to protect their inboxes.