Tag: Threat Detection

Financial institutions seeking a piece of the hot P2P payments market must act to prevent network fraud with a multilayered prevention approach that includes a robust fraud detection engine.

Ahead-of-threat detection enables security professionals and consumers to identify potential phishing websites faster than traditional browser protection apps can blacklist active cyberthreats.

If you're thinking about adopting artificial intelligence as an ally in your security operations center, the following questions and considerations can be helpful to guide your decision-making.

User behavior analytics (UBA) is a good application, but it isn't a replacement for SIEM. UBA is more accurately described as a cybersecurity application that can be added on top of an SIEM tool.

A PDF attack campaign conducted by the Cobalt Gang used a specially crafted document to evade dection by static analysis tools.

One of the most crucial types of information for threat detection and incident response is network flow data, which has several unique properties that can help security analysts uncover attacks.

Passive DNS replication can be an essential source of data to contextualize your threat intelligence and inform your incident response plan.

Security researchers discovered a recent phishing scheme that took advantage of Hurricane Michael's impact to steal victims' email credentials across multiple services.

For companies that want to understand what is happening in their networks but lack malware analysis tools, using what is publicly available could be the difference between an infection and a crisis.

Dwell times for data compromises are still shockingly high. Understand how to detect a breach in your network to improve response and mitigation time.