What technology does Mimecast use to identify potential threats in email traffic?

Mimecast leverages Artificial Intelligence and Machine Learning to identify potential threats in email traffic. This technology allows Mimecast to analyze patterns and behaviors associated with legitimate and malicious email interactions. By employing AI and ML algorithms, the system is able to detect anomalies in email content, sender behavior, and overall traffic flow that could signify phishing attempts, malware distribution, or other security breaches.

These technologies enable Mimecast to process vast amounts of email data quickly and accurately, adapting to new threats as they emerge. This proactive approach is essential in today's evolving cyber threat landscape, where traditional methods may fall short in recognizing sophisticated attacks.

The other options, while relevant to various aspects of cybersecurity, do not specifically pertain to the mechanisms Mimecast employs for threat identification in email communications. Social engineering techniques involve understanding human behavior, but they do not quantify or streamline the detection of email threats in the same way as AI and ML. Cloud computing refers to the delivery of services over the internet, whereas big data analytics involves processing large sets of data for patterns, but it is the integration of AI and ML that specifically enhances the capability to identify and respond to email threats efficiently.