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What is Dymium?

Dymium is a real-time enforcement architecture—known as the Ghost Layer—that governs how AI agents, applications, and analysts interact with sensitive data. Instead of relying on static roles, pre-approved datasets, or post-access checks, Dymium evaluates every request dynamically based on identity, role, context, and policy. This just-in-time control model prevents over-permissioning and ensures that sensitive fields are masked or withheld during AI inference. GhostDB, GhostAPI, and GhostMCP act directly at the data source, removing the need for ETL pipelines, shadow datasets, or duplicated environments. Because governance happens before any data is returned, teams gain fast, safe access without latency or compliance risk. Dymium provides detailed logging for every interaction, keeping organizations audit-ready for GDPR, HIPAA, and the AI Act without manual effort. Data and AI teams can move faster with fewer blockers, while security and privacy teams maintain granular control. Product teams can embed governed access into AI-powered features from day one. Dymium delivers row-, field-, and role-level access controls without requiring a replatform or redesign of existing systems. Built for modern AI workloads, Dymium is the last—and most important—layer before any data request.

What is Acryl Data?

Address the challenge of neglected data catalogs with Acryl Cloud, which enhances the realization of value through Shift Left strategies tailored for data creators while providing an intuitive interface for users. This platform allows for the immediate identification of data quality concerns, automates anomaly detection to prevent future complications, and supports quick resolutions when issues do crop up. Acryl Cloud supports both push and pull methods for ingesting metadata, simplifying upkeep while ensuring the information remains trustworthy, up-to-date, and thorough. For smooth operations, data should work effortlessly. Go beyond basic visibility by utilizing automated Metadata Tests that continually uncover insights and highlight new avenues for improvement. By establishing clear asset ownership and applying automatic detection, efficient notifications, and temporal lineage for tracing the origins of issues, organizations can reduce confusion and shorten resolution times. Consequently, this leads to a more streamlined and productive data management framework, fostering a culture of continuous improvement and adaptability.

Media

Media

Integrations Supported

Amazon Redshift
Amazon S3
Amazon SageMaker
Apache Airflow
Apache Druid
Apache NiFi
Apache Superset
ClickHouse
Elasticsearch
Gemini
Great Expectations
Looker
Metabase
Microsoft Entra ID
Microsoft Power BI
OpenText Analytics Database (Vertica)
SPARK
SQL Server
Snowflake
dbt

Integrations Supported

Amazon Redshift
Amazon S3
Amazon SageMaker
Apache Airflow
Apache Druid
Apache NiFi
Apache Superset
ClickHouse
Elasticsearch
Gemini
Great Expectations
Looker
Metabase
Microsoft Entra ID
Microsoft Power BI
OpenText Analytics Database (Vertica)
SPARK
SQL Server
Snowflake
dbt

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Dymium

Date Founded

2022

Company Location

United States

Company Website

www.dymium.io

Company Facts

Organization Name

Acryl Data

Date Founded

2021

Company Website

www.acryldata.io

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

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