Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How to detect security threats in your systems' Linux processes

Almost all tasks within a Linux system, whether it’s an application, system daemon, or certain types of user activity, are executed by one or more processes . This means that monitoring processes is key to detecting potentially malicious activity in your systems, such as the creation of unexpected web shells or other utilities.

Detect security threats with anomaly detection rules

Securing your environment requires being able to quickly detect abnormal activity that could represent a threat. But today’s modern cloud infrastructure is large, complex, and can generate vast volumes of logs. This makes it difficult to determine what activity is normal and harder to identify anomalous behavior. Now, in addition to threshold and new term –based Threat Detection Rules , Datadog Security Monitoring provides the ability to create anomaly

Detectify expands coverage for public APIs (in development)

Our security researchers happen to be talented bug bounty hunters as well as the brains behind of Detectify's efforts to develop a leading-edge API security scanner. Why is developing a reliable API security tool so challenging? It's because every API is different, which means it’s challenging to have a standardized approach to security testing on APIs. Almroth states that the team will focus on developing an API security scanner that focuses on server-side vulnerabilities. Both share that this is going to use fuzzing techniques.

Credit Card Fraud Detection: Keeping Payments Safe with Machine Learning

Imagine, it’s a Saturday morning and you receive a call from a bank: – Hello? – Hi [insert your name], we suspect that a fraudster is trying to use your card at a grocery store in Texas. – Well, I am at a grocery store in Texas! – Oh my gosh! Do you see him? If only credit card fraud was funny.

Limitless XDR defined: Ingest, retain, and analyze security data freely

Elastic Security's newest features define the potential of XDR for cybersecurity teams. Our single platform brings together SIEM and endpoint security, allowing users to ingest and retain large volumes of data from diverse sources, store and search data for longer, and augment threat hunting with detections and machine learning. Security vendors are using the term “XDR” with increasing frequency, applying varied definitions to suit their respective technologies.