Dataforge AI

Blueprint AI-Driven Data Excellence

Consolidate Diverse Sources, Extract Insights and Ensure Compliance with Advanced Al

Strengthening Organizational Security through Identity Posture

As cyber threats continue to grow in complexity, organizations must adopt a proactive security posture to protect sensitive data. The implementation of strategies such as Risk Scoring, Strong Authentication, Anomaly Detection, and Behavioral Analytics enhances security by detecting and preventing security threats in real-time.

Risk Scoring

Functionality: AI-driven algorithms assess risk factors and identify vulnerable identities.

Strong Authentication

Functionality: Uses multi-factor authentication (MFA) to validate user identity.

Least Privilege Enforcement

Functionality: Provides users with only the access they need for their roles.

About Us

Introduction to DataForge AI

” Our Approach to Problem Solving In The Oil & Industrial “

DataForge AI is a state-of-the-art service designed to help organizations efficiently consolidate, process, and analyze data from a variety of sources. By harnessing powerful AI-driven technologies, it allows users to derive meaningful insights from their data securely and seamlessly. This guide provides a comprehensive overview of how DataForge AI operates, its integrations, and the numerous benefits it offers to users seeking advanced data management and analysis capabilities.

More than 20,000 Companies are read on the BOILE

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Comprehensive Identity Mapping

Functionality: Tracks all digital identities across diverse IT environments.

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Real-time Monitoring

Functionality: Continuously discovers new identities and detects changes in the network.

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Reduced Attack Surface

Functionality: Identifies and secures dormant or unauthorized accounts to reduce exposure.

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Cloud and Hybrid Security

Functionality: Provides visibility and control across cloud and hybrid systems.

Why Choose Us

Fortifying Digital Security through Comprehensive Identity Management

Today, we all face the challenge of keeping our digital identities safe, whether we’re working from home, in the cloud, or somewhere in between.

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Bert Blevins

CEO

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Collaboration and Identity Security

Leading the Future of Digital Identity Security At IdentitySecurity.net, we bring together everything you need to know about digital identity protection and Privileged Access Management (PAM)—all in one place.

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Expert Peoples
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Build trust with our Hard Work

Our Services

How DataForge AI Works

DataForge AI operates through an efficient, multi-step process designed to streamline the ingestion, unification, and
analysis of diverse data sets. Here’s a breakdown of how the service works:

1. Data Ingestion

The first step in the DataForge AI process is data ingestion, where the service connects to a wide variety of data sources, ensuring that all of your valuable information is collected and ready for analysis. These sources include:

2. Data Combination and Unification

After ingestion, the data is combined and unified into a centralized, secure repository, which is hosted on Microsoft Azure cloud infrastructure. This cloud-based repository provides a high...

3. Scanning with Microsoft Search

Once the data is unified, Microsoft Search is used to index all the content in the repository. Microsoft Search uses sophisticated AI-powered algorithms to parse through the data and create a...

4. AI Analysis

The next step involves the core strength of DataForge AI: advanced AI analysis. DataForge AI integrates seamlessly with Microsoft’s suite of AI technologies to analyze the indexed data and extract valuable insights. Key AI models include:

5. Scanning with Microsoft Search

Once the analysis is complete, the results are delivered to users through an intuitive, user-friendly dashboard. This dashboard provides easy-to-understand visualizations, reports, and...

End-to-End Security and Automation

DataForge AI is designed with automation in mind. Every part of the process, from data ingestion to output delivery, is automated, ensuring maximum efficiency with minimal user intervention.

1. Data Ingestion

The first step in the DataForge AI process is data ingestion, where the service connects to a wide variety of data sources, ensuring that all of your valuable information is collected and ready for analysis. These sources include:

2. Data Combination and Unification

After ingestion, the data is combined and unified into a centralized, secure repository, which is hosted on Microsoft Azure cloud infrastructure. This cloud-based repository provides a high...

3. Scanning with Microsoft Search

Once the data is unified, Microsoft Search is used to index all the content in the repository. Microsoft Search uses sophisticated AI-powered algorithms to parse through the data and create a...

4. AI Analysis

The next step involves the core strength of DataForge AI: advanced AI analysis. DataForge AI integrates seamlessly with Microsoft’s suite of AI technologies to analyze the indexed data and extract valuable insights. Key AI models include:

5. Scanning with Microsoft Search

Once the analysis is complete, the results are delivered to users through an intuitive, user-friendly dashboard. This dashboard provides easy-to-understand visualizations, reports, and...

End-to-End Security and Automation

DataForge AI is designed with automation in mind. Every part of the process, from data ingestion to output delivery, is automated, ensuring maximum efficiency with minimal user intervention.

Expert Team

Teamwork Makes the Dream Work

Integration with SharePoint and Microsoft 365 Search

DataForge AI offers seamless integration with SharePoint and the broader Microsoft 365 (M365) ecosystem, enhancing your search capabilities and collaboration efforts by consolidating and indexing data from multiple sources into one unified experience.

How DataForge AI Works with SharePoint / M365 Search

Seamless Connectivity
Enhanced Indexing
Query Handling and AI-Enhanced Search Results
Customization and Extensions
Security and Compliance in Integration
Transforming Fragmented Data into a Unified M365 Experience

FAQs

Delivering AI-Driven Insights with DataForge AI

Transforming Raw Data into Actionable Insights within the M365 Ecosystem

DataForge AI takes your raw data and converts it into meaningful, actionable insights using the power of artificial intelligence. Integrated seamlessly within the M365 ecosystem, DataForge AI enhances your productivity by delivering intelligent analysis that directly supports decision-making.

How DataForge AI Delivers AI Output on Analysis

AI-Powered Processing
After indexing, DataForge AI leverages powerful AI models built on Azure AI technology (similar to M365 Copilot) to analyze your data.

How Insights Are Delivered

Dashboards
DataForge AI transforms complex data into easy-to-understand, interactive visualizations.

Personalization and Iterative Analysis

Tailored Outputs
The AI personalizes outputs based on user history and insights from the M365 Graph.
Success

Making Unreadable Data Searchable with DataForge AI

One of the standout features of DataForge AI is its ability to transform inaccessible or unstructured data into valuable,
searchable assets. Legacy files, scanned documents, outdated formats, and even data trapped in images or
non-searchable text can all be made searchable through the power of advanced AI tools.

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How DataForge AI Makes Unreadable Data Searchable

1. Handling Unstructured Data:
2. File Format Conversion:
3. Indexing Process:

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Advanced Features of DataForge AI

4. Email and Attachment Parsing:
5. Exclusion Controls:
6. Security Trimming:
7. Handling Edge Cases (Corrupted Files):

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The Power of DataForge AI:

Reviving Dormant Data By converting unreadable and unstructured data into searchable, actionable information, DataForge AI breathes new life into dormant data. Whether it’s legacy documents, scanned files, or complex email archives,..

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Keeping Data Safe from Litigation Discovery

Ensuring Business Continuity, and Facilitating Knowledge Transfer DataForge AI places a strong emphasis on security, compliance, and resilience, ensuring that your data is protected and your business operations remain uninterrupted.

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Keeping Data Safe from Litigation Discovery

Compliance with eDiscovery
In the complex world of litigation, compliance with eDiscovery requirements is paramount. DataForge AI seamlessly integrates with Microsoft Purview eDiscovery (Premium),

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Ensuring Business Continuity and Transfer of Knowledge

Backup and Archiving
DataForge AI is designed with business continuity in mind. It automates data backups to Azure, ensuring that your data is regularly protected with geo-redundant storage and versioning.

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The Latest News

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