machine learning

To reduce the attack surface you can block many vulnerable features of software. The question is, how can you do that but not interfere with business-processes?

What surprises do machine learning have in store for us? How difficult is it to trick a machine? And will we end up with Skynet and rise of the machines? Let’s take a look.

Any piece of malware can be captured if you know it for what it is — for example, if you use a trainable behavioral model.

What’s troubling the cybersecurity community most in 2018?

Effective protection of industrial facilities requires permanent monitoring of both information systems and operational processes. We have just the tool.

Google’s new E-Screen Protector prompts users when prying eyes are on their smartphone screen. Is this technology useful?

Artificial? Very. Intelligence? You be the judge.

The essence of the HuMachine concept is a fusion of big data, machine learning, and our analysts’ expertise. But what is behind these words?

Lately, tech companies have gone absolutely crazy for machine learning. They say it solves the problems only people could crack before. Some even go as far as calling it “artificial