Facilitate zero trust AI data access
Enable global trusted data access for AI using zero trust principles with a secure data intermediary. Streamline data access, enhance security, and maintain compliance while optimizing LLM training and performance.

OVERVIEW
Secure AI systems with zero trust principles
Ensure the integrity and security of the data that fuels AI models with a secure data broker that verifies that shared data remains secure and protected at every step of the process.
Secure and control AI data access
Ensure that no requestor is inherently trusted and every interaction is evaluated, logged and verified.
Share only relevant and permissible information
Filter, prepare and provision data based on predefined criteria, such as compliance regulations or business rules.
Increase precision and efficiency with metadata
Reduce the time and resources required for processing by ensuring that the LLM is working with the most relevant subsets of unstructured data.


BENEFITS
Expedite efficient access with metadata
Overcome the inherent lack of organization within unstructured data with Panzura Symphony, a secure data broker that can facilitate metadata-driven interactions between LLMs and unstructured data repositories. Boost efficiency by leveraging the data broker for specific datasets without directly processing or accessing the raw data.
Automate and maintain tight controls
Protect your data assets from unauthorized access with robust security measures based on zero trust principles. Ensure no requestor is inherently trusted and every interaction is evaluated, logged and verified. Enforce your LLM’s ability to access specific dataset locations and filter, prepare and provision data based on regulations or business rules. Use JDBC, webhooks, and Symphony's comprehensive ReST API to enforce access restrictions, confirm compliance policy, or filter datasets using enhanced metadata.

Optimize data for LLM ingestion
Through strategic integrations with IBM Fusion Data Catalog and GRAU Data MetadataHub, Symphony can normalize data formats, convert non-text formats to text, and extract hundreds of proprietary data formats. Efficient use of metadata helps segment large datasets into manageable pieces, making it easier for the LLM to process the information efficiently.
Simplify secure, efficient extraction of value from unstructured data
Panzura Symphony integrates with LLM workflows to facilitate secure, efficient, and compliant access to and processing of unstructured data. Leveraging metadata, the data broker optimizes data access while ensuring that the LLM interacts only with relevant and permissible content. This enhances LLM performance, saves cloud resources and costs, and protects organizations from data misuse and compliance risks.


Panzura named a top vendor for hybrid cloud file services
We were recognized as a top vendor of hybrid cloud file platforms by Gartner in Modernize File Storage Data Services With Hybrid Cloud.

Panzura named a TOP 5 winner for NAS consolidation again
We were recognized as a Top 5 Enterprise Cloud-based NAS Consolidation solution by independent analyst firm DCIG for the 2nd consecutive time.
Cloud storage
All popular cloud object storage options, including:









Virtual environments
Panzura CloudFS can be deployed on:




SMB & NFS
protocals
Integrations
Content and metadata enhancement:
