Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Endpoint detection and response (EDR) systems such as SentinelOne Singularity Endpoint, CrowdStrike, and Microsoft Defender monitor IT infrastructure such as computers, mobile devices, and network devices to detect, alert on, and respond to cyber threats. These EDR systems record data about the endpoints to identify abnormal behavior, block malicious activity, and provide remediation suggestions with contextual information.

Observability pipelines help cybersecurity teams maximize the value of their data by giving them critical visibility into telemetry. This visibility allows them to eliminate visibility gaps, enhance security operations center (SOC) efficiency, and reduce spending on high-cost SIEM tools. Until recently, the observability space has been dominated by point solutions like Cribl, Monad, and Observo.

As cyberattacks rise in number and sophistication, many CISOs are pushing their organizations to adopt modern SIEM solutions to better monitor and investigate threats to their applications and infrastructure. Enterprises with a large Microsoft Azure or Windows-based footprint in particular are increasingly eyeing Microsoft Sentinel to consolidate their security stack and workflows.

The current era of distributed work requires delivery of truly borderless digital applications and services powered by the cloud, delivered via a secure network centered on high performance and best in class user experience. It is essential that your organization has visibility and real-time insights into the data flow across the extended enterprise network as well as the ability to apply the necessary People, Process & Technology safeguards for data in transit and rest.

As outlined in a previous post, OpenTelemetry and Splunk Observability Cloud can provide great visibility when security teams investigate activity in modern environments. In this post, we look at another aspect of this visibility: how you can use traces to see directly into the workings of an application to find a potential threat. Let’s imagine we’re the security analyst, and a message comes across from the Security Operations Center (SOC).

Companies spend a huge amount of their budget trying to build, manage, and protect cloud environments. Since there is no industry standard for sharing data feeds between development and security, each team is on an island trying to figure out how to keep their side of the room clean. The most robust security incident response teams understand the incredible value of using observability telemetry for security workflows, but are unsure how to make it happen in practice.

Bolster your organization’s observability and security capabilities on one platform with AI, anomaly detection, and enhanced attack discovery Organizations in today’s digital landscape are increasingly concerned about service availability and safeguarding their software from malicious tampering and compromise. The traditional security and observability tools often operate in silos, leading to fragmented views and delayed responses to incidents.