Security Technology

Advancements in technology continue to grow — and so do the techniques of cyberthreats. Learn how organizations can keep their evolving environments protected through dynamic and advanced security solutions.

We have developed a machine learning model called TrendX Hybrid Model that uses two training phases — pre-training and training — and allows us to correlate static and behavior features to improve detection rates and reduce false positives.

From powering video streaming, web-based apps, customer relationship management (CRM) systems, mobile banking, inventory, and big data analyses, the cloud is helping empower businesses of all sizes to focus on innovation rather than infrastructure.

The complexity of container infrastructure, if not properly accounted for, can pose serious security risks. To minimize risks when building in containers, we came up with six steps that developers can follow.

In a survey commissioned by Trend Micro, majority of the respondents shared their concern for the risks in implementing DevOps. Learn why consulting IT security teams in the initiatives can help bridge gaps between production and security.

We delve into how machine learning performs dynamic malware detection in a scenario where only a single malware sample is available.

Hackers use fileless threats to take advantage of existing applications and attack systems. Here we discuss noteworthy events, techniques, and best practices that can help identify fileless threats and defend against attacks.

In a new phishing campaign, audio recordings purportedly shared via OneNote were used as a lure to lead email recipients to a fake Microsoft login page that steals user account credentials.

Enterprises continue to face both old and new threats in their respective industries. This evolving world of threats emphasize the need for better perimeter security.