Cohesity announced
Cohesity Gaia,
a first-to-market AI-powered enterprise search assistant that brings
retrieval augmented generation (RAG) AI and large language models
(LLMs) to high-quality backup data within Cohesity environments.
Cohesity Gaia will be made generally available on March 15. The
conversational AI assistant enables users to ask questions and receive
answers by accessing and analyzing their vast pools of enterprise data.
When coupled with the
Cohesity Data Cloud,
these AI advancements transform data into knowledge and can help
accelerate the goals of an organization while keeping data secure and
compliant. Cohesity has announced plans with the three largest public
cloud providers to bring their LLM services to Cohesity Gaia.
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. "With Cohesity Gaia, for the
first time in our industry, companies will be able to leverage
generative AI to query their data in a virtually seamless way. Our
approach delivers rapid, insightful results without the drawbacks of
more manual and risky approaches. In short, it turns data into knowledge
within seconds and minutes."
"We are an international
materials research and manufacturing company, with research centers in
many locations, and our researchers speak different languages," said
Ryan Reed, head of IT Products and Services, JSR Corporation. "We want
to be able to use generative AI to quickly discover if work done at one
location might apply to other projects. Cohesity Gaia allows us to query
our rich store of research data and quickly find relevant work. It will
also allow our researchers to use their native language to query the
system. This could prove incredibly valuable in accelerating the rate of
our research and discovery."
At the core of Cohesity AI technologies is Cohesity Turing, a
patent-pending collection of AI capabilities and technologies
integrated into Cohesity's multicloud data management and security
platform, that provide operational and data insights. The foundation of
these AI innovations is the concept of "responsible AI," with
capabilities and frameworks that enable customers to introduce AI to
backup data securely and safely at scale. All Cohesity Turing solutions
adhere to these responsible AI principles:
- Transparency: Protect access to the data with role-based access controls. Promote transparency and accountability around access and policies.
- Governance: Ensure
the security and privacy of data used by AI models and the workforce-so
the right data is exposed only to the right people (and models) with
the right privileges.
- Access: Integrate indexed and searchable data securely and easily while ensuring data is immutable and resilient.
"It is important to understand that
Cohesity Gaia does not retrieve data like a search engine; it answers
questions," said Greg Statton, office of the CTO - Data & AI,
Cohesity. "For example, if you notice a rise in costs in a region,
typically, you would search for dozens of invoices, review and compare
them, and see if you can discover the reason for the cost increases. It
could take hours, days, or weeks to resolve. With Cohesity Gaia, you
simply ask, ‘Why have costs increased in the region?', and Cohesity Gaia
will pull the relevant data from your stored data, analyze it, and
return an answer to your question. It's that simple."
"Cohesity is the first data security
and management vendor to bring the power of AI search to enterprises
with the Cohesity Gaia AI search assistant. Gaia leverages generative AI
with the latest RAG enhancements to enable conversational search across
secondary protected data," said Russ Fellows, vice president, The
Futurum Group Labs. "Gaia enables companies to quickly leverage their
existing stored data with the power of generative AI, while preserving
data security and compliance. With Cohesity Gaia, customers can quickly
turn data into insights, without the complexity of creating an AI
application themself, or worrying about their data privacy and
security."