Enhanced Log Searching: Accelerating Investigations with Smarter Analytics

Accelerating Investigations with Smarter Log Analysis

Incident response teams rely on log data to piece together the details of security events. However, enterprises generate massive volumes of logs, making it difficult to determine which data is relevant to an investigation. Traditional approaches often require ingesting large amounts of logs before performing searches, an inefficient and time-consuming process that slows down response times.

To address this challenge, the Cado platform now integrates Cloudgrep, enabling users to search large volumes of log data in cloud storage without unnecessary ingestion. This enhanced log searching capability provides faster, more targeted insights, ultimately improving incident response efficiency.

Challenges in Traditional Log Analysis

Many organizations store logs across AWS, Azure, and GCP cloud storage, but when an incident occurs, security teams face key challenges:

• Volume Overload: Cloud environments generate vast amounts of logs, making manual searches impractical.
• Inefficient Workflows: Traditional workflows require importing all logs before searching, adding unnecessary delays.
• Scalability Issues: Blindly ingesting all logs for analysis can lead to storage bloat and increased costs.
• Limited Search Capabilities: Without precise filtering, analysts may struggle to pinpoint relevant log files quickly.

These obstacles create inefficiencies that hinder rapid response and forensic investigations.

Smarter Log Searching with Cloudgrep

By embedding Cloudgrep (A Cado Open-source Project) into the Cado platform, we enable security teams to search cloud storage logs efficiently and import only the relevant data for analysis. This approach provides several benefits:

1. Search Before Ingesting

Instead of importing entire log repositories, analysts can now perform targeted searches across AWS, Azure, and GCP storage. This helps teams quickly find relevant log files while reducing unnecessary ingestion.

2. Faster Investigation Workflows

The new 'Search content' action type allows users to identify and extract only the logs that contain relevant indicators of compromise (IoCs), accelerating the time to insight.

3. Improved Filtering and Precision

With new filtering options, users can refine searches by Name and Type, ensuring they retrieve only the most pertinent log files.

Types of Events in an example log file 

4. Seamless Review and Import

Security teams can:

• Review selections before ingesting data
• Execute search queries with detailed summaries
• Import files containing search hits for deeper forensic analysis

Enhancing Incident Response Efficiency

With smarter log searching and refined security analytics, organizations can significantly reduce investigation times. By leveraging the new analytics capabilities within the Cado platform, analysts gain better control over cloud log data, minimizing ingestion overhead while maximizing investigative efficiency.

As cyber threats grow more sophisticated, security teams need tools that enhance their ability to detect and respond rapidly. With enhanced log searching, the Cado Platform helps organizations stay ahead of threats by streamlining the log analysis process and enabling more effective incident response.