Threat Detection

Best practices for creating detection rules with Datadog Cloud SIEM

Logs are invaluable for detecting potential threats to your environment because they provide crucial details about who is accessing service resources, why they are accessing them, and whether any changes have been made. But in large-scale environments that generate a considerable number of logs, you can easily overlook signs that your application is compromised.

Introducing Logz.io Event Management: Accelerating Collaborative Threat Response

In the domain of cyber threat response, there’s a critical resource that every organization is desperately seeking to maximize: time. It’s not like today’s DevOps teams aren’t already ruthlessly focused on optimizing their work to unlock the greater potential of their human talent. Ensuring your organization to identify and address production issues faster – and increase focus on innovation – is the primary reason why Logz.io and its observability platform exist.

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

What Is an Intrusion Detection System (IDS)?

More personal and proprietary data is available online than ever before—and many malicious actors want to get ahold of this valuable information. Using an intrusion detection system (IDS) is essential to the protection of your network and on-premises devices. Intrusion detection systems are designed to identify suspicious and malicious activity through network traffic, and an intrusion detection system (IDS) enables you to discover whether your network is being attacked.

Collecting and operationalizing threat data from the Mozi botnet

Detecting and preventing malicious activity such as botnet attacks is a critical area of focus for threat intel analysts, security operators, and threat hunters. Taking up the Mozi botnet as a case study, this blog post demonstrates how to use open source tools, analytical processes, and the Elastic Stack to perform analysis and enrichment of collected data irrespective of the campaign.

Correlate CrowdStrike Data with Logz.io Cloud SIEM

Crowdstrike is an innovator in the endpoint protection market with innovative approaches for the last decade. They specialize in depth of data collection and have uncovered many forensic mysteries in security over the last 10 years. We have many mutual customers with CrowdStrike, which is why we began working with them on a solution to analyze and correlate their data within Logz.io.

Ingesting threat data with the Threat Intel Filebeat module

The ability for security teams to integrate threat data into their operations substantially helps their organization identify potentially malicious endpoint and network events using indicators identified by other threat research teams. In this blog, we’ll cover how to ingest threat data with the Threat Intel Filebeat module. In future blog posts, we'll cover enriching threat data with the Threat ECS fieldset and operationalizing threat data with Elastic Security.

How the Elastic InfoSec team uses Elastic Security

At Elastic, we internally use, test, and provide feedback on all of our products. For example, the Information Security team is helping the Product team build a stronger solution for our customers. The InfoSec team is an extremely valuable resource who acts not only as an extension of Quality Assurance/Testing, but also as a data custodian.

Adversary emulation with Prelude Operator and Elastic Security

It’s no secret that organisations are up against skilled, relentless and determined adversaries. Security operations teams need to continuously test their detection capabilities by carrying out adversary emulation plans that are made up of varying tactics, techniques and procedures (TTPs) and track key metrics of their coverage in order to close any existing gaps. There are many tools available for running adversary emulation plans and performing purple team exercises.

Exploring intrusion detection techniques in cloud native environments - Garwood Pang, Tigera

As more production workloads migrated to the cloud, the need for Intrusion Detection Systems(IDS) grew to meet compliance and security needs. With the number of workloads in each cluster, IDS needs to be efficient to not take up the shared resources. Techniques such as packet inspection and web application firewalls provide a solid defense against threats and by leveraging the cluster's network control pane, we are able to selectively choose vulnerable workloads and provide an easy way to trace back to the origin of the attack.