So I would expect, especially in a RankBrain world, Google will be making spam detection and search quality more machine learning based in the near future.

How Companies Are Detecting Spear Phishing Attacks Using Machine Learning Phishing emails are growing more complex, but machine learning is helping businesses keep up and fight the threat.

She added that there are two different types of machine learning techniques used in threat detection: supervised and unsupervised machine learning. With supervised machine learning, you feed the ...

Google's machine learning helping it catch spam to Gmail Google has shed some light on why Gmail users should hardly ever see spam in their inbox, and almost never see wanted email in the spam folder.

Using supervised machine learning algorithms that factor in device detection, location, user behavior patterns and more to anticipate and thwart phishing attacks is what’s needed today.

The bot landscape is changing fast as fraudsters look to capitalize on the confusion, fear and uncertainty surrounding Covid-19 and its immediately accelerating e-commerce.

Now, it's improving the process even further, thanks to its TensorFlow machine learning framework, which is blocking an extra 100 million spam messages every day.

Investing in Detection Technology Rory Kozoll, SVP of product integrity at Tinder, emphasizes the exceptional capabilities of their team in detecting and addressing bad behavior, including spam.