Auguria

About Auguria

Auguria has developed the Security Knowledge Layer (SKL™), a platform that utilizes a vector database and embedding engine to cleanse, denoise, and prioritize critical security event data in real time. This technology enables security operations teams to efficiently extract the essential 1% of data from vast amounts of logs, reducing operational noise and improving incident response capabilities.

```xml <problem> Security operations teams are overwhelmed by the sheer volume of security event data, making it difficult to identify and prioritize critical threats. The constant influx of logs and alerts creates significant noise, hindering efficient incident response and increasing the risk of overlooking crucial security events. </problem> <solution> Auguria's Security Knowledge Layer (SKL™) is a platform designed to cleanse, denoise, and prioritize security event data in real time, enabling security teams to focus on the most critical issues. By leveraging a vector database and embedding engine, Auguria SKL transforms complex security data into actionable insights. The platform coalesces trillions of events into semantically similar groups, revealing data relationships that are difficult for humans to comprehend. This approach allows enterprises to effectively understand the information contained within their logs, improving SecOps efficiencies and reducing long-term costs. </solution> <features> - Vector database and embedding engine for real-time data cleansing and denoising - AI-powered prioritization of security events based on a unique security knowledge layer model and ontology - Semantic grouping of events to reveal hidden relationships and patterns - Automated identification of investigation-worthy events and unknown threats - Intelligent processing of diverse data types with minimal upfront configuration - Machine-assisted prioritization for optimized data routing to SIEM, XDR, lakehouse, and object storage </features> <target_audience> Auguria's primary customers are security operations teams within enterprises seeking to improve incident response, reduce operational noise, and optimize security data management. </target_audience> ```

What does Auguria do?

Auguria has developed the Security Knowledge Layer (SKL™), a platform that utilizes a vector database and embedding engine to cleanse, denoise, and prioritize critical security event data in real time. This technology enables security operations teams to efficiently extract the essential 1% of data from vast amounts of logs, reducing operational noise and improving incident response capabilities.

Where is Auguria located?

Auguria is based in Irvine, United States.

When was Auguria founded?

Auguria was founded in 2022.

How much funding has Auguria raised?

Auguria has raised 6500000.

Location
Irvine, United States
Founded
2022
Funding
6500000
Employees
17 employees
Major Investors
SYN Ventures, S ventures

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Auguria

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Executive Summary

Auguria has developed the Security Knowledge Layer (SKL™), a platform that utilizes a vector database and embedding engine to cleanse, denoise, and prioritize critical security event data in real time. This technology enables security operations teams to efficiently extract the essential 1% of data from vast amounts of logs, reducing operational noise and improving incident response capabilities.

auguria.io1K+
cb
Crunchbase
Founded 2022Irvine, United States

Funding

$

Estimated Funding

$5M+

Major Investors

SYN Ventures, S ventures

Team (15+)

No team information available.

Company Description

Problem

Security operations teams are overwhelmed by the sheer volume of security event data, making it difficult to identify and prioritize critical threats. The constant influx of logs and alerts creates significant noise, hindering efficient incident response and increasing the risk of overlooking crucial security events.

Solution

Auguria's Security Knowledge Layer (SKL™) is a platform designed to cleanse, denoise, and prioritize security event data in real time, enabling security teams to focus on the most critical issues. By leveraging a vector database and embedding engine, Auguria SKL transforms complex security data into actionable insights. The platform coalesces trillions of events into semantically similar groups, revealing data relationships that are difficult for humans to comprehend. This approach allows enterprises to effectively understand the information contained within their logs, improving SecOps efficiencies and reducing long-term costs.

Features

Vector database and embedding engine for real-time data cleansing and denoising

AI-powered prioritization of security events based on a unique security knowledge layer model and ontology

Semantic grouping of events to reveal hidden relationships and patterns

Automated identification of investigation-worthy events and unknown threats

Intelligent processing of diverse data types with minimal upfront configuration

Machine-assisted prioritization for optimized data routing to SIEM, XDR, lakehouse, and object storage

Target Audience

Auguria's primary customers are security operations teams within enterprises seeking to improve incident response, reduce operational noise, and optimize security data management.

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