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Description
Create a more reliable product utilizing state-of-the-art data security and governance solutions. The privacy-centric data governance SDK is crafted to enable the use of your most critical data while ensuring it remains both secure and confidential. Included with the Parcel SDK is a preconfigured dispatcher that facilitates the quick establishment of an isolated environment for computations that prioritize privacy. Leveraging advanced secure-enclave technology, your data stays protected and confidential throughout its entire lifecycle. Whether you’re working on web applications or infrastructure stacks, the Parcel SDK seamlessly integrates with a wide variety of services and technologies. Supporting Typescript, the Parcel SDK can be effortlessly incorporated into your development processes, eliminating the need for unfamiliar languages or complex systems. Moreover, backed by a decentralized ledger, Parcel guarantees an unalterable record of all actions, allowing you to verify that your data is utilized in a compliant and responsible manner, ultimately fostering greater trust in your product. This innovative approach empowers organizations to prioritize both functionality and privacy in their data management strategies.
Description
The development of IT Governance platforms designed for managing Large Computing Systems, particularly those utilizing Mainframe technology, aims to modernize organizational practices and decrease cost structures.
The Challenge:
The significant ownership expenses associated with Large Computing Systems are a major concern.
A multitude of specialized products and countless reports are required for the effective management of the entire spectrum of customers' Large Computing Systems.
There is a notable challenge in formulating and supervising the principles of effective IT Governance, as well as a lag in adapting these principles to the rapidly changing technological landscape.
Additionally, there is a skills gap regarding Large Computing Systems, leading to a heavy reliance on system integrators and outsourcing services.
The Proposed Solution:
Implementing real-time mapping of hardware assets along with the collection of service delivery metrics will streamline management processes.
A unified platform will be established to oversee both the Large Computing Systems and the delivery of business services.
Utilization of Machine Learning technologies will enable the automatic classification of the collected metrics, as well as their correlation with business service delivery and the associated Key Performance Indicators.
This integrated approach not only enhances efficiency but also provides organizations with the agility needed to adapt to future technological advancements.
API Access
Has API
API Access
Has API
Integrations
Google Cloud Confidential VMs
InfStones
Second State
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
Oasis Labs
Founded
2018
Country
United States
Website
www.oasislabs.com
Vendor Details
Company Name
XStream Labs
Country
Italy
Website
www.xstream-labs.com
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management