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ease
features
design
support

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Description

Auguria is a cutting-edge security data platform designed for the cloud that leverages the synergy between human intelligence and machine capabilities to sift through billions of logs in real time, identifying the crucial 1 percent of event data by cleansing, denoising, and ranking security events. Central to its functionality is the Auguria Security Knowledge Layer, which operates as a vector database and embedding engine, developed from an ontology shaped by extensive real-world SecOps experience, allowing it to semantically categorize trillions of events into actionable insights for investigations. Users can seamlessly integrate any data source into an automated pipeline that efficiently prioritizes, filters, and directs events to various destinations such as SIEM, XDR, data lakes, or object storage, all without needing specialized data engineering skills. Continuously enhancing its advanced AI models with fresh security signals and context specific to different states, Auguria also offers anomaly scoring and explanations for each event, alongside real-time dashboards and analytics that facilitate quicker incident triage, proactive threat hunting, and adherence to compliance requirements. This comprehensive approach not only streamlines the security workflow but also empowers organizations to respond more effectively to potential threats.

Description

Enhance your embedding metadata and tokens through an intuitive user interface. By employing sophisticated NLP cleansing methods such as TF-IDF, you can normalize and enrich your embedding tokens, which significantly boosts both efficiency and accuracy in applications related to large language models. Furthermore, optimize the pertinence of the content retrieved from a vector database by intelligently managing the structure of the content, whether by splitting or merging, and incorporating void or hidden tokens to ensure that the chunks remain semantically coherent. With Embedditor, you gain complete command over your data, allowing for seamless deployment on your personal computer, within your dedicated enterprise cloud, or in an on-premises setup. By utilizing Embedditor's advanced cleansing features to eliminate irrelevant embedding tokens such as stop words, punctuation, and frequently occurring low-relevance terms, you have the potential to reduce embedding and vector storage costs by up to 40%, all while enhancing the quality of your search results. This innovative approach not only streamlines your workflow but also optimizes the overall performance of your NLP projects.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Apache Kafka
Azure Storage
Docker
Elastic Cloud
GitHub
IngestAI
MySQL
Okta
SQL Server
SentinelOne Singularity
Snowflake
Splunk Cloud Platform

Integrations

Amazon S3
Apache Kafka
Azure Storage
Docker
Elastic Cloud
GitHub
IngestAI
MySQL
Okta
SQL Server
SentinelOne Singularity
Snowflake
Splunk Cloud Platform

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Auguria

Founded

2022

Country

United States

Website

auguria.io

Vendor Details

Company Name

Embedditor

Website

embedditor.ai/

Product Features

IT Security

Anti Spam
Anti Virus
Email Attachment Protection
Event Tracking
IP Protection
Internet Usage Monitoring
Intrusion Detection System
Spyware Removal
Two-Factor Authentication
Vulnerability Scanning
Web Threat Management
Web Traffic Reporting

Product Features

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