Google Chronicle

A cloud service for managing and analyzing security and network telemetry data, integrated into Google Cloud as part of Google Security Operations.

GCP Proprietary Cloud Service Only
Category Threat Detection & Response
Last page update 18 days ago
Pricing Details Contact for pricing details.
Target Audience Enterprises looking for advanced security data management and analysis solutions.

Google Chronicle, now integrated into Google Cloud as part of Google Security Operations, manages managing and analyzing vast amounts of security and network telemetry data. This cloud service is built on top of Google's core infrastructure, allowing enterprises to privately retain, analyze, and search their security data.

The technical architecture of Google Chronicle involves several key components. Data collection is facilitated through various methods, including a lightweight forwarder that supports syslog, packet capture, and integration with existing log management or SIEM systems. Additionally, ingestion APIs enable direct log transmission to the platform, and third-party integrations allow for data ingestion from sources like Office 365 and Azure AD.

The analytical capabilities are delivered through a browser-based application, with features such as raw log scanning, regular expression searches, and investigative views that provide insights into assets, IP addresses, domains, and user activities. The Detection Engine automates the search for security issues by applying predefined rules to incoming data, notifying analysts of potential and known threats. Integration with VirusTotal enhances threat investigation by providing additional context on assets, domains, and IP addresses.

Operational considerations include the use of single sign-on (SSO) for access, which ensures integration with enterprise credentials. The platform stores sensitive information, such as user credentials, in Secret Manager to maintain security and compliance. However, scalability and performance can be impacted by the volume of data, with potential degradation in query performance for very large datasets. The platform's design emphasizes real-time monitoring and instant analysis, but it also supports historical analysis with data retention capabilities that can span months or longer.

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