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ASI taps Vast Data to bolster its cyber defence

 6 months ago
source link: https://itwire.com/business-it-news/data/asi-taps-vast-data-to-bolster-its-cyber-defence.html
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Thursday, 07 March 2024 12:10

ASI taps Vast Data to bolster its cyber defence

By Vast Data

ASI country manager Lloyd Vickery

ASI country manager Lloyd Vickery

Data platform company Vast Data has signed a deal with ASI Solutions to provide its data platform to customers directly and as a managed service.

ASI is an information and communication technology (ICT) partner, working with a range of universities, councils, enterprises, and more across the region.

The company was seeking a more modern data platform to support rising demand from its customers to support AI workloads and improve their cyber resiliency in case of a ransomware attack.

To meet this demand, the company selected the Vast Data Platform, which unifies storage, database, and containerised compute engine services into a single, scalable software platform architected from the ground up to power AI and GPU-accelerated tools in modern data centres and clouds.

ASI is using Vast’s platform to provide offerings for its customers as a service, including smaller organisations that typically can’t access the economies-of-scale that benefits larger enterprises.

It also halved the costs typically incurred from major cloud providers.

“The Vast Data Platform offers enterprise features like data immutability that ensure an organisation’s data is secure and compliant by preventing the accidental or malicious deletion and modification of data,” said ASI country manager Lloyd Vickery.

“Increasingly, we’re seeing cyber insurance companies mandate this capability to provide cover, but it’s difficult and costly doing it through a hyperscaler. Vast platform is also built into our local secure data centres, so the data sovereignty aspect is covered too.”

Other than Vast Data Platform, ASI said it is also using Vast’s DataBase, which has benefits as it can run Python—a programming language for AI and machine learning (ML) workloads—directly on the architecture itself, which can give organisations more insights on their data as they develop AI pipelines and applications.

The latest version of Vast DataBase also supports the release of new functionality such as projections and minimising the amount of data needed to transmit across the network or read from storage, which allows the system to dramatically reduce query times and accelerate time to insight.

“ASI needed a modern, multi-protocol data platform to not only underpin data protection but deliver for other mission critical workloads. Vast Data’s all-flash performance, ransomware protection, similarity data reduction, and white glove support deliver a superior business outcome,” said Vast Data vice president Asia Pacific and Japan Sunil Chavan.

"The notion of data tiering to sub-optimal environments is obsolete and endemic to a broken data strategy. As organisations continue to expand their data sets and further explore AI and deep learning initiatives, they will require a data platform able to scale with them.”

The Vast Data Platform enables organisations to understand all data, both structured and unstructured, as it exists in the natural world, to generate insights and unlock new value.

Vast Data claims it has become the choice for feeding AI graphics processing units (GPU) and to power market-disrupting burgeoning AI clouds across the globe.

Other than ASI, Vast Data revealed that other companies have also been using its platform. These include:

The University of Auckland is using the Vast Data Platform to bolster its ransomware resiliency and ensure operational data can be reinjected into the University in just hours in the event of a ransomware attack.

It also praised the platform’s support of its sustainability strategy as its systems can last at least a decade.

In addition, Timaru District Council is using the Vast Data Platform to improve its operations by consolidating its environment and broadening access to its current business critical data as well as its archived data.

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