ASUS OmniStor AI
Zero-trust file management system for the AI era
Worried about confidential enterprise data leaking when adopting AI?
The 3 key challenges of AI data
Training data comes from multiple sources
Difficulties in integrating and allocating computing resources
Lack of role-based access control
Sensitive data easily stolen
AI data transmissions vulnerable to hacking
Leading to service interruptions and data leaks
Why choose OmniStor AI?
Accelerate data sharing and training
Real-time synchronization of endpoint data
Optimize resources and speed up AI applications
Centralize and integrate data
Address data growth and fragmentation issues
Seamlessly connect to computing and analytics tools
Strict control over access permissions
Role-based AI data access management
Prevent sensitive information from leaking
Comprehensive monitoring mechanisms
Establish a multi-layered data security center
Gain full visibility into all activities and risks
4 Key Highlights
Endpoint synchronization to establish a data security center
OmniStor AI enables real-time synchronization of endpoint data to the cloud, supporting various file types to quickly build an AI database. It uses encrypted transmission and a multi-layered security architecture to provide a trustworthy data platform, accelerating AI adoption for businesses.
- Endpoint access technology synchronizes data to the cloud, saving resources
- Https encrypted transmission reduces the risk of attacks during transfer
- A trustworthy data platform accelerates AI data training and sharing
One-stop integration of AI computing and data analytics
A platform for managing data from various sources, combining AI computing power and inference application services. It supports API integration with data analytics tools, empowering businesses to accumulate data to drive AI.
- Supports API integration with analytics tools to accelerate business decision-making
- Integrates and centrally manages endpoint data to quickly establish a dedicated AI database
- High reliability and scalability to accommodate an infinitely growing data pool
Strict AI Data Access Control
Training datasets often contain large volumes of sensitive information. OmniStor AI delivers a robust permission control mechanism based on the principle of least privilege, combined with multi-factor identity and device verification, to enforce a zero-trust AI framework.
- Access permissions precisely managed by member and environment
- Centralized, role-based project data management to reduce administrative burden
- Supports multi-factor authentication for enhanced login security
Continuous Monitoring to Comply with AI Guidelines
OmniStor AI also establishes rigorous risk-based file policies and provides comprehensive activity logs, ensuring members access only authorized data scopes. This prevents the leakage of critical enterprise secrets and supports full compliance.
- Sensitive data review mechanisms to prevent unauthorized disclosure
- Complete operation log reports aligned with AI governance requirements
- A compliant and secure data management platform designed to meet audit standards
AI Computing Power and Data Security Hub
Integrating AI computing resources and tools to accelerate AI application development while ensuring security
Before
- Lack of integrated computing resources for AI data
- Limited AI talent, making it difficult to focus on data training
- Training data vulnerable to attacks during transmission
After
- API integration with analytics tools to improve decision-making efficiency
- Comprehensive monitoring and data governance to enforce zero-trust principles
- Secure environment with encrypted transmission to ensure AI data security
Define AI data scope autonomously to establish a zero-trust RAG framework
OmniStor AI enforces strict access control for generated information, ensuring role-based governance and upgraded security for RAG
Before
- Undefined AI data scope leading to excessive access rights
- Data silos blocking cross-department collaboration
- Sensitive data containing personal and confidential information at risk of leakage
After
- Centralized and role-based data management to meet cross-department integration needs
- Unified platform integration to eliminate fragmented data issues
- Sensitive data review mechanisms to prevent unauthorized disclosure
Product Inquiry
Interested in OmniStor AI plans or features? Get in touch with us today.