About Scanner.dev

Scanner is a lightweight SIEM and observability platform that indexes logs directly in S3, enabling users to perform full-text searches across years of data in seconds while reducing costs by up to 90%. It enhances threat detection and incident response through customizable detection rules and a streamlined approach to log management, ensuring complete data ownership without vendor lock-in.

```xml <problem> Traditional Security Information and Event Management (SIEM) and observability platforms can be expensive and complex, often requiring significant infrastructure and specialized expertise. This complexity makes it difficult for organizations to efficiently search and analyze large volumes of log data for threat detection and incident response, especially when dealing with long-term data retention requirements. </problem> <solution> Scanner is a lightweight SIEM and observability platform that directly indexes log data stored in Amazon S3, enabling rapid full-text search across historical logs. By leveraging existing S3 infrastructure, Scanner significantly reduces the cost and complexity associated with traditional SIEM solutions. The platform provides customizable detection rules and a streamlined approach to log management, empowering users to perform fast investigations, enhance threat detection, and maintain complete data ownership without vendor lock-in. Scanner also offers an API to query logs from S3 directly inside Splunk, Grafana, and Jupyter Notebooks. </solution> <features> - Indexes logs directly in S3 for cost-effective storage and search - Enables full-text search across years of log data in seconds - Offers customizable detection rules for rapid threat detection and incident response - Provides a consolidated index for viewing and searching detection events - Supports out-of-the-box detection rules for common security threats - Allows managing detection rules as code directly from GitHub - Exposes a Scanner API to query historical logs from Splunk, Grafana, and Jupyter Notebooks - Offers integrations with Splunk, Grafana, and Jupyter Notebooks </features> <target_audience> Scanner is designed for security engineers, analysts, and IT professionals who need a cost-effective and efficient solution for log management, threat detection, and incident response, particularly those leveraging Amazon S3 for data storage. </target_audience> <revenue_model> Scanner reduces SIEM and log costs by up to 90%. </revenue_model> ```

What does Scanner.dev do?

Where is Scanner.dev located?

Scanner.dev is based in San Francisco, United States.

When was Scanner.dev founded?

Scanner.dev was founded in 2022.

Location

San Francisco, United States

Founded

2022

Employees

8 employees

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Scanner.dev

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Executive Summary

scanner.dev 5K+

Founded 2022 – San Francisco, United States

Funding

No funding information available.

Team (5+)

No team information available.

Company Description

Problem

Traditional Security Information and Event Management (SIEM) and observability platforms can be expensive and complex, often requiring significant infrastructure and specialized expertise. This complexity makes it difficult for organizations to efficiently search and analyze large volumes of log data for threat detection and incident response, especially when dealing with long-term data retention requirements.

Solution

Scanner is a lightweight SIEM and observability platform that directly indexes log data stored in Amazon S3, enabling rapid full-text search across historical logs. By leveraging existing S3 infrastructure, Scanner significantly reduces the cost and complexity associated with traditional SIEM solutions. The platform provides customizable detection rules and a streamlined approach to log management, empowering users to perform fast investigations, enhance threat detection, and maintain complete data ownership without vendor lock-in. Scanner also offers an API to query logs from S3 directly inside Splunk, Grafana, and Jupyter Notebooks.

Features

Indexes logs directly in S3 for cost-effective storage and search

Enables full-text search across years of log data in seconds

Offers customizable detection rules for rapid threat detection and incident response

Provides a consolidated index for viewing and searching detection events

Supports out-of-the-box detection rules for common security threats

Allows managing detection rules as code directly from GitHub

Exposes a Scanner API to query historical logs from Splunk, Grafana, and Jupyter Notebooks

Offers integrations with Splunk, Grafana, and Jupyter Notebooks

Target Audience

Scanner is designed for security engineers, analysts, and IT professionals who need a cost-effective and efficient solution for log management, threat detection, and incident response, particularly those leveraging Amazon S3 for data storage.

Revenue Model

Scanner reduces SIEM and log costs by up to 90%.