# GreyNoise

> software that collates data on Internet scanners

**Wikidata**: [Q109598178](https://www.wikidata.org/wiki/Q109598178)  
**Source**: https://4ort.xyz/entity/greynoise

## Summary
GreyNoise is a software tool designed to collate data on internet scanners. It is developed and operated by GreyNoise Intelligence, a cybersecurity company based in the United States. The platform functions within the computer security industry to analyze and categorize scanning activity.

## Key Facts
- **Description:** Software that collates data on internet scanners.
- **Developer:** GreyNoise Intelligence.
- **Owner:** GreyNoise Intelligence.
- **Parent Company Inception:** GreyNoise Intelligence was founded in 2017.
- **Headquarters Location:** Washington, D.C., United States (specifically 1015 15th St NW Suite 600, ZIP 20002).
- **Industry:** Computer security.
- **Website:** https://www.greynoise.io/
- **API Endpoint:** https://api.greynoise.io/v3/ (uses HTTPS protocol).
- **Classification:** Instance of software.

## FAQs
### Q: What is the primary function of GreyNoise?
A: GreyNoise is a software application that aggregates and collates data regarding internet scanners. It is used within the cybersecurity sector to understand scanning activity.

### Q: Who develops and owns GreyNoise?
A: GreyNoise is developed and owned by GreyNoise Intelligence, a cybersecurity company. The company was founded in 2017.

### Q: Where is the company behind GreyNoise located?
A: GreyNoise Intelligence is headquartered in Washington, D.C., United States.

### Q: Is there a public API available for GreyNoise?
A: Yes, the software provides an API endpoint located at `https://api.greynoise.io/v3/` which operates over HTTPS.

## Why It Matters
GreyNoise plays a specific role in the cybersecurity landscape by addressing the massive volume of background traffic on the internet. By collating data on internet scanners, the software allows security professionals to differentiate between targeted attacks and broad, indiscriminate scanning. This capability helps organizations prioritize their defense resources effectively, ignoring benign or opportunistic scanning in favor of genuine threats.

Developed by GreyNoise Intelligence, a company established in 2017 and based in Washington, D.C., the tool serves as a critical filter for security analysts. Its availability via a dedicated API endpoint facilitates integration into automated security workflows, making the data accessible for technical teams. As a component of the computer security industry, it contributes to a clearer understanding of global internet traffic patterns.

## Notable For
- **Specific Focus:** Distinctly specialized in collating data on internet scanners rather than general threat intelligence.
- **Cybersecurity Utility:** Provides essential data for the computer security industry to identify background noise versus targeted threats.
- **API Accessibility:** Offers a specific versioned API (v3) for programmatic access to its data.
- **Company Origin:** A product of the United States cybersecurity sector, specifically developed in Washington, D.C.

## Body
### Developer and Ownership
GreyNoise is a software product created by **GreyNoise Intelligence**. This entity serves as both the developer and owner of the software. GreyNoise Intelligence is a cybersecurity company that was established in **2017**. The company is based in the **United States**, with its headquarters situated in **Washington, D.C.** The precise location of the headquarters is 1015 15th St NW Suite 600, ZIP code 20002.

### Technical Specifications
The software is classified as a non-tangible executable component of a computer. It features a public-facing website accessible at `https://www.greynoise.io/`. For programmatic interaction, GreyNoise provides an **API endpoint**.
- **URL:** `https://api.greynoise.io/v3/`
- **Protocol:** HTTPS

### Functionality
The core function of GreyNoise is to collate data on **internet scanners**. This capability positions the software within the broader **computer security** industry. By collecting this specific type of data, the software serves as a resource for identifying and analyzing automated scanning activities across the internet.