Early access for Cohesity Turing Integration with Amazon Bedrock

Cohesity has previewed early access to Cohesity Turing, the company’s comprehensive, patent-pending collection of artificial intelligence (AI) capabilities and technologies that are integrated into its multicloud data platform and solutions.

  • 1 year ago Posted in

Cohesity will expand its work with Amazon Web Services (AWS) to integrate Cohesity Turing with Amazon Bedrock, a fully managed service that makes foundation models from leading AI companies accessible via an API to build and scale generative AI applications. Customers will benefit directly from this integration by using the latest AI capabilities to drive more efficient operations, garner greater insight into security risks, and derive more value from their data.

Customers can sign up today for the Cohesity Turing Early Access Program here. Cohesity will showcase the power of the integration between Cohesity Turing and Amazon Bedrock at AWS re:Invent 2023, November 27 - December 1, in Las Vegas. Cohesity expects the program to be generally available in approximately six months.

With Cohesity Turing’s integration with Amazon Bedrock, organisations will be able to access and utilise the latest AI capabilities to streamline and enhance data operations securely, while also deriving deep, informed insights from their data. Capabilities will include:

• Managing, securing, and analysing data: With access to the Cohesity Data Cloud, users will be able to securely index their data and use Cohesity Turing’s AI capabilities for insightful analytics that uncover deep insights and offer informed answers to questions about business and application data.

• Enriched data interaction and learning: Customers will be able to query their own data with intuitive, natural-language conversations and generate simplified, secure insights from their historical data.

• Implementing Retrieval Augmented Generation (RAG): Cohesity Turing and the Cohesity Data Cloud will leverage Amazon Bedrock to enhance customers’ data interpretation and will provide grounded responses to queries through RAG.

Cohesity developed Cohesity Turing to address customers’ rapidly evolving needs for AI to unlock critical data insights. As new AI use cases emerge, Cohesity will continue to advance the portfolio of technologies powered by Cohesity Turing, while helping customers use AI responsibly and securely.

“For some time, enterprise IT priorities have focused on managing data proliferation, data security, and compliance. We now see a rapidly increasing demand for AI-powered data insights from customers. With our expanded relationship with AWS, we aim to unleash the power of enterprise AI while leading the industry in leveraging AI-powered data security and management to strengthen the cyber resilience of our customers,” said Sanjay Poonen, CEO, Cohesity. “By offering a seamless and secure integration with Amazon Bedrock, we will make it easier for businesses to truly harness the power of their data responsibly and securely.”

Organisations face an ongoing threat from cybercriminals, creating a need to implement AI solutions for greater cyber resilience. In addition to helping customers derive greater insights from data and strengthen their security posture, this integration will make it easier for businesses to benefit from AI solutions in a responsible, compliant, and secure manner.

"We are excited about this expanded collaboration focused on AI and data security that can help us stay one step ahead of cyber threats,” said Jason Haroldsen, manager, IT Infrastructure, Valley Children’s Healthcare. “With the growing risk of ransomware and other cyberattacks, our organisation is always evaluating new ways to boost cyber resilience strategies while keeping our data's integrity at the forefront."

“We see tremendous potential and value in collaboration on generative AI that could provide critical insights into our level of cyber resilience and threat profile,” said Sebastian Springer, head of software development, Pro Care Management, GmbH. “We need to embrace the power of generative AI while ensuring our data remains secure and compliant. This holds great promise in achieving that end.”

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