Cohesity partners with Google Cloud to empower organizations with AI and data generative capabilities

Cohesity partners with Google Cloud to empower organizations with AI and data generative capabilities

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Platform for security and data management Cohesion today announced a significant expansion of its partnership with Google Cloud. This collaboration aims to enable organizations to harness the full potential of artificial intelligence and generative data. Cohesity also unveiled Cohesity Turing, a comprehensive suite of AI capabilities designed to deliver AI-powered insights for customers across industries and geographies.

The company said that with this strategic partnership with Google Cloud and the introduction of Cohesity Turing, organizations can confidently leverage their full data ecosystem through a secure, unified workflow that seamlessly integrates on-premises, multicloud environments. and edge.

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Cohesity will use Google’s recent advances in AI technology to enhance its “AI-ready” data management and security platform, Cohesity Data Cloud. This expansion involves building tighter integrations with world-class cloud services like Vertex AI. Vertex AI is a fully managed machine learning (ML) platform explicitly built to streamline the processes of implementing ML and AI models for enterprises.


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“One month after announcing an expanded partnership with Microsoft that includes our intent to integrate with Azure OpenAI, we are now announcing an expanded partnership with Google Cloud and our intent to integrate with Vertex AI,” Sanjay Poonen, CEO, told VentureBeat. by Cohesity. “We believe Cohesity’s leading data management and security capabilities, combined with Google Cloud’s powerful AI and analytics capabilities, will benefit customers as they gain new insights into the very data they are already protecting and running on the Cohesity platform.”

By integrating Cohesity’s data management and security capabilities with Google Vertex, joint customers can gain new insights from the data they already protect and manage on the Cohesity platform. Using Google Cloud’s Vertex AI large language models (LLMs), they can quickly search large amounts of data, revealing data patterns, detecting anomalies, pinpointing precise answers, and facilitating timely data recovery through contextual searches.

“Turing is a rapidly evolving collection of AI/ML technologies and capabilities that are integrated into Cohesity’s multicloud data platform and solutions, and enable organizations to responsibly bring AI and their data together,” said Poonen. “With Turing and through Cohesity’s platform, organizations have access to a wealth of modern AI/ML-powered capabilities to derive exceptional insights from their data.”

The company emphasized that with Turing, customers retain full control over their data, just as they currently do through Cohesity’s multicloud data platform. Additionally, by using comprehensive role-based access control models, the company ensures that access to data is restricted to authorized users and that context-sensitive responses to user requests are in line with the designated access level of the organization. user.

Businesses will also be able to exercise control and ensure the security of their data, regardless of the artificial intelligence technologies they employ.

Improve security and data management through artificial intelligence

The company anticipates significant benefits for joint customers through tight integration between Cohesity and Vertex AI. Leveraging the potential of generative AI and large language models, both companies aim to collaboratively assist customers in substantially improving data security.

“With so many potential attack vectors and rapidly growing data properties, in the event of a breach, AI could easily enable common customers to ask natural questions, quickly search through exabytes (of data), and receive answers that are actionable and human-readable almost instantly, so IT and security personnel can quickly assess risk and operators can streamline their response protocols,” Poonen told VentureBeat. “With AI-enabled eDiscovery, we aim to help customers quickly analyze historical data and answer critical questions.”

Poonen said Cohesity indexes backup data, including specific metadata that allows that data to be used in LLMs.

“In the same way that backup data on Cohesity is archived and can be searched for threat analysis, it is also AI-ready so that when a person asks questions about the data through the LLM, the answers are engineered to be readable and actionable,” he said. “Leveraging authoritative data sources backed up on Cohesity can help ensure more accurate answers to user or machine queries.”

The company said Turing provides organizations with cutting-edge AI capabilities to improve operational efficiency, gain deeper insights into security risks, and unlock greater value from data. These capabilities include advanced modeling and data entropy detection, machine learning models trained on millions of samples for threat intelligence, classification of sensitive data, and machine-driven recommendations for predictive capacity planning.

“With the Cohesity Turing capabilities in our Cohesity DataHawk SaaS offering, enterprises can detect threats and uncover sensitive data. They can streamline threat detection with one-click scanning and daily updated automated threat feeds,” said Poonen. “ML-based data classification helps accurately discover and classify sensitive data so customers can determine if there has been unauthorized use or access and assess the impact of an attack. Analyzing the user activity log helps identify suspicious behavior and activity that could be signs of tampering or theft.”

Cohesity’s ML-based engine handles the classification of sensitive data such as personally identifiable information (PII) and PCI and HIPAA protected data. This will allow companies to quickly assess the implications of ransomware attacks or other cyber incidents.

Poonen said his company overcomes regex pattern matching using BigID’s ML-based classification engine, which incorporates named entity recognition and natural language processing techniques.

Plus, leverage proven, validated templates for comprehensive global search capabilities, with an extensive collection of over 235 pre-built templates covering commonly found personal, health, and financial data. Organizations can combine these templates into custom policies, making it easier to identify sensitive data and ensure compliance with privacy and regulatory requirements.

A future of opportunity for AI-powered security infrastructure

Poonen pointed out that Cohesity’s state-of-the-art security and data management platform is distinguished by its “AI-ready” architecture and that it is designed to enable seamless search and maintain a comprehensive database. of files across various workloads and times.

He said such a design allows AI and LLMs to quickly provide answers to vital business inquiries while ensuring that only authorized people receive answers related to the data they have access to.

“The development of Cohesity’s retrieve-augmented generation (RAG) models, for which we have patents pending, represents a major advance in the field of knowledge-based conversations,” he added. “By harnessing the power of multiple documents and incorporating both the topic and local context of a conversation, these templates can generate informed, diverse, and relevant responses.”

He elaborated on the growing importance for organizations to streamline business processes and operations, emphasizing that AI naturally becomes an integral part of this effort. However, the company recognizes the substantial risks associated with the exposure of sensitive data and intellectual property.

“AI is a bit like a gold rush. Everyone talks about ‘gold’, but nobody focuses on tools and safety,” Poonen said. “Cohesion is focused on building the tools and security to maximize the gold organizations seek. Cohesity Turing will bring together RAG, responsible AI and governance to unlock the power of AI and data in a secure and responsible way.”

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