Cloud API logs are a significant blind spot for many organizations and often factor into large-scale, publicly announced data breaches. They pose several challenges to security teams: For all of these reasons, cloud API logs are resistant to conventional threat detection and hunting techniques.
When it comes to your SIEM, your data is only as useful as your ability to ingest and analyze it. To solve complex security problems, your team ideally needs the ability to comprehensively monitor events within your environment with contextual insights from high-volume data sources.
Security information and event management (SIEM) systems are centralized logging platforms that enable security teams to analyze event data in real time for early detection of targeted cyber attacks and data breaches. A SIEM is used as a tool to collect, store, investigate, and report on log data for threat detection, incident response, forensics, and regulatory compliance.
As a security analyst on Elastic’s InfoSec team, a common scenario we see is users coming to our team and asking: “Is this file safe to open?” Or one user reports a phishing email with an attachment that they didn’t open, but we see from the logs that 10 other users also received that email but didn’t report it and no alerts went off on their systems.
When performing critical security investigations and threat hunts using Elastic Security, the Timeline feature is always by your side as a workspace for investigations and threat hunting. Drilling down into an event is as simple as dragging and dropping to create the query you need to investigate an alert or event.
On December 13, SolarWinds released a security advisory regarding a successful supply-chain attack on the Orion management platform. The attack affects Orion versions 2019.4 HF 5 through 2020.2.1, software products released between March and June of 2020. Likewise, on December 13, FireEye released information about a global campaign involving SolarWinds supply-chain compromise that affected some versions of Orion software.
This post is part of a blog series highlighting how we embrace the solutions and features of the Elastic Stack to support our business and drive customer success. The Elastic InfoSec Security Engineering team is responsible for deploying and managing InfoSec's infrastructure and tools. At Elastic, speed, scale, and relevance is our DNA and leveraging the power of the Elastic Stack is the heart of InfoSec.
When approached by stakeholders in their organization, few security teams can confidently demonstrate that logging and alerting capabilities are working as expected. Organizations have become more distributed and reliant on cloud offerings for use cases such as identity and access management, user productivity, and file storage. Meanwhile, adversaries have extended their operational capabilities in cloud environments.
Let’s talk visibility for a moment. Security visibility is a data-at-scale problem. Searching, analyzing, and processing across all your relevant data at speed is critical to the success of your team’s ability to stop threats at scale. Elastic Security can help you drive holistic visibility for your security team, and operationalize that visibility to solve SIEM use cases, strengthen your threat hunting practice with machine learning and automated detection, and more.
As many organizations have migrated their infrastructure, applications, and data to cloud offerings, adversaries have extended their operational capabilities in cloud environments to achieve their mission — whether that means stealing intellectual property, disrupting business operations, or holding an organization’s data for ransom.
