Optimity agree strategic partnership with Redstor to deliver smart data management and protection
The partnership will help Optimity provide best in class data protection to its clients by leveraging Redstors cloud-native technology, helping to ensure customer data is protected and accessible on demand.
Redstor brings a wealth of knowledge as one of the leading vendors in the data management space, with over two decades of experience and a customer base spanning multiple public and private sectors.
Leeland Pavey, Optimity’s CEO, said:
“This is a really exciting development in our managed IT services offering designed to offer professional storage and recovery solutions for our customers”
In addition, Rob Buckton, Redstor’s UK Sales Director spoke of the partnership by saying:
“We are delighted to be growing our base of service providers by agreeing this partnership with Optimity. As an experienced service provider, we are confident that Optimity will continue to deliver the highest levels of service to their growing customer base and that Redstor delivers a brilliant new service offering for them to do this.
As our IP grows, we are able to offer an unparalleled level of protection from a single application, something which Optimity clients will be able to benefit from, whether protecting traditional infrastructure, cloud and SaaS applications such as Microsoft 365, Google Workspace and Salesforce or utilising our AI-driven malware detection.”
Smart data management and protection
About Redstor: Redstor offers smart, feature-rich data management and protection for environments offering the broadest coverage of support spanning modern and legacy data infrastructure and an ever-widening array of SaaS platforms, including Microsoft 365, Google Workspace and Xero, with no hardware requirements – through a single app.
Our software ensures backup data is safely isolated from live environments and features AI-driven technology to detect and remove malware from within backup data, providing a powerful additional layer of protection against cyber threats. A machine-learning model utilises shared insights, gained from malicious files found in backup sets, for community resilience against zero-day threats with automatic updates to improve protection every day.