Powerful AI Search Assistant Enhances Data Utilization, Security, and Compliance
Cohesity unveiled Gaia, an AI-powered enterprise search assistant, integrating RAG AI and LLMs to analyze backup data in Cohesity setups. Gaia, available March 15, lets users ask questions and get answers from their enterprise data. With the Cohesity Data Cloud, these AI tools turn data into actionable insights, aiding organizational goals securely and compliantly. Cohesity also plans to collaborate with the top three public cloud providers to integrate their LLM services into Gaia.
“Cohesity Gaia dramatically simplifies this process with our patent-pending approach using Retrieval Augmented Generation”
Sanjay Poonen, CEO and President, Cohesity
The underlying architecture of Cohesity Data Cloud manages and secures data with a unique blend of performance, extensibility, and scale. Cohesity Gaia extends the value proposition of Cohesity Data Cloud even further:
- By building a RAG AI solution on Cohesity’s multicloud platform, Cohesity will be able to seamlessly provide RAG AI conversational search experiences across cloud and hybrid environments that will allow enterprises to gain deeper insights into their data and make informed decisions in the future, no matter where their stored data resides.
- Cohesity maintains a fully indexed backup of all files, across all workloads, and at all points in time. This robust capability supports the creation of AI-ready indexes for rapid conversational search and responses, providing enterprises with quick and accurate results. Initially, Cohesity will support Microsoft 365 and OneDrive data and will expand to more workloads over time.
- The unique architecture of Cohesity Gaia ensures that all indexed data is immediately available for reading without the need for backups to be reconstructed. This allows the Cohesity Data Cloud to function like a data lake, providing businesses with real-time access to their data for analysis and decision-making.
- The Cohesity Data Cloud employs granular, role-based access controls and zero-trust security principles, ensuring that only authorized users and models have access to the necessary data. This not only protects sensitive information but also helps enterprises maintain compliance with various regulatory requirements.
Enterprises looking to utilize LLMs often face several challenges. Developers must first create more copies of data, thereby increasing the threat footprint for an attack. What’s more, the data may be incomplete or dated. Finally, this approach requires additional time and resources, and puts an added burden on the system’s performance. Cohesity Gaia overcomes these challenges by integrating AI capabilities within a customer’s backup environment.
Cohesity Gaia helps organizations make better, faster decisions across a myriad of use cases, such as:
- To assess an organization’s level of cyber resilience.
- To quickly perform financial and compliance audit checks.
- To answer complex legal questions.
- To serve as a knowledge base to train new employees.
“Enterprises are excited to harness the power of generative AI but have faced several challenges gaining insights into secondary data, including backup, archived and vaulted data – because every approach requires re-hydrating the data, and painfully waiting weeks for the data to be available for analytics and insights. Cohesity Gaia dramatically simplifies this process with our patent-pending approach using Retrieval Augmented Generation,” said Sanjay Poonen, CEO and President, Cohesity.”
