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Cyren Security Blog

The Cyren Security Blog is where Cyren engineers and thought leaders provide insights, research and analysis on a range of current cybersecurity topics.

How Machine Learning Is Building a Better Spam Trap

Bad actors are constantly raising the ante on email scams. According to Microsoft, “phishers have been quietly retaliating, evolving their techniques to try and evade protections. In 2019, we saw phishing attacks reach new levels of creativity and sophistication.”

To keep pace with these evasive attacks, threat protection software has to adapt, and machine-learning algorithms can be a powerful way to keep pace.

Related: You Should Enlist Your Employees in Threat Detection

A Learning Computer

Machine-learning algorithms include:

  • Sender Behavior Analysis: detects imposter or spoofed emails, using header analysis, cousin or look-alike domain detection, as well as natural language processing to determine whether the language in the body of an email might be indicative of social engineering.

  • URL Behavior Analysis: protects users from credential theft by extracting URLs from emails and examining the destination web page for evidence that it might be a phishing site. Underlying technologies should be built specifically to detect evasive phishing tactics. For example, automatically access suspect sites from multiple source IP addresses and emulate different browsers to observe how the site renders in different environments.

  • Mailbox Behavior Analysis: profiles mailbox activity to create a baseline of trusted behaviors and relationships. Who sends emails to whom and at what time of day? What volumes? What do the contents look like? And many others. Mailboxes are then continuously monitored for anomalous behaviors and predictive analytics are used to detect threats. For example, if an executive never sends emails to a finance cloud, and then suddenly he does, late on a Friday evening, requesting a money transfer, this behavior will be an anomaly, indicating a possible BEC attack.

  • Incident Analysis: Enables rapid investigation, containment, response and remediation of threats. Incidents are created whenever an email contravenes a security policy or is reported by the user. Look for automation here too, including clear display of detailed forensic data per incident and automatic aggregation of similar incidents into a single case that can be remediated in one fell swoop.

Employee Insights Are Valuable

Your employees’ “gut feelings” are incredibly valuable and can help you crowdsource threats, however, learning how to identify phishing links can also be helpful. But companies rarely leverage this unique threat intelligence, and these insights usually languish inside IT’s ticket queue.

Cyren Inbox Securityincludes a simple-to-install and -use Outlook plugin that helps Microsoft 365 users identify phishing attacks, and provide critical feedback to the intelligence engine. They’re one click away from flagging an email as suspicious, and telling Cyren to search for lookalike emails in the system. Over time, the engine gets smarter, enriched by employees’ instincts and critical thinking.

To learn more about Cyren Inbox Security and start a 30-day trial, visit >

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