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JOIN COHESITY AT RSAC 2026

San Francisco | March 23 – 26 | Booth N-6271

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Transform backup data into trusted enterprise AI

Activate immutable, time-series backup data and bring governed historical context into the AI tools your teams already use.

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overview

Cohesity Gaia: The platform for AI-ready data

Your AI tools run in the cloud. They need enterprise data to reason and deliver meaningful insights. But that data is distributed across data centers, NAS systems, SaaS platforms, and cloud environments. 

Copying it into the cloud takes months - and increases cost and compliance risk. 

Cohesity Gaia removes these barriers. 

Activate the secure, immutable backup data you already protect. Enable AI agents to reason over years of historical, unstructured data – without moving it or creating new silos. 

Activate enterprise data – without copying it

Activate immutable, time-series unstructured data directly from protected backups – including on-prem environments – without duplicating sensitive content or building complex ingestion pipelines. 

Improve AI accuracy with historical context

Provide AI systems with consistent historical versions across years of enterprise files. Deliver context-aware analysis grounded in immutable enterprise data. 

Extend AI into the tools your teams already use

Inject governed historical context into enterprise AI platforms such as Microsoft Copilot, Google Gemini, and Glean – without retraining users or introducing new workflows.

Deploy anywhere. Maintain sovereignty.

Run as SaaS or fully self-managed on-prem to meet data residency, regulatory, and sovereignty requirements in highly regulated industries and geographies. 

Benefits

Make the safest copy of your data the smartest copy of your data 

Activate backup data for enterprise AI. No data duplication. No new ETL pipelines. 

Activate historical backup data within enterprise AI tools – without copying data

Make immutable backup data available to AI systems directly from the Cohesity Data Cloud. Avoid costly data duplication and custom ETL (Extract, Transform, Load) architectures.

Improve AI performance with immutable, time-series historical context

Enable AI systems to reason over consistent historical versions of enterprise content – not just the latest snapshot – improving completeness and trust.

Preserve governance and permissions by design

Enforce granular role-based access controls (RBAC), immutability, and auditability before any data is returned to AI tools.

Deploy on-prem and maintain full AI sovereignty

Deliver true sovereign AI by activating time-series backup data within your own infrastructure, in partnership with AI industry leaders such as NVIDIA, Cisco, and HPE.

Deploy anywhere. Maintain sovereignty.

Run Cohesity Gaia where your data already lives – on-premises, cloud, or hybrid.  

Meet strict data residency, sovereignty, and compliance requirements while enabling AI innovation across your enterprise – without migrating or duplicating data. 

Agentic AI Integrations

Gaia is now available in the agentic AI tools you already use

Interact with Cohesity Gaia through the Cohesity Data Cloud, as well as the agentic AI tools you already use. Connect Gaia to Microsoft Copilot, Glean, and Google Gemini Enterprise – with more integrations coming soon.

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Features

Trusted historical context for AI agents

AI-powered search, retrieval, and summarization

Search and analyze time-series backup data using natural language. Extract answers, generate summaries, and explore historical context across enterprise content. 

Semantic search and vector indexing 

Build a secure semantic layer on top of backup data. Extract text, generate embeddings, and enable vector search to support advanced AI reasoning. Powered by NVIDIA AI Enterprise technologies, including NIM LLM, Nemotron Reranking NIM, and NeMo Guardrails.

Context injection into enterprise AI platforms 

Integrate with Microsoft Copilot, Google Gemini, Glean, with additional platforms coming soon. Bring governed, time-series enterprise context into agentic workflows. 

Granular RBAC, immutability, and auditability 

Preserve file-level permissions and enforce governance policies before returning any results. Ensure AI responses remain compliant and secure. 

Unite sources and file types graphic on Cohesity Gaia page

Unify and activate your protected enterprise data 

Unlock value from immutable, historical unstructured data already protected in the Cohesity Data Cloud. 

Unify your protected data  

Activate data across on-prem, SaaS, and cloud environments without copying or migrating it into new silos. 

Search across data types – across time 

Securely search enterprise file formats including PDF, PPT, DOC, TXT, HTML, XML, and CSV – with full historical context preserved. 

Connect across enterprise data sources 

Aggregate and govern data from Microsoft OneDrive, SaaS platforms, and on-prem NAS systems – without duplicating data. 

Use cases

Enterprise data insights and historical trend analysis

Analyze how events evolved over time using consistent historical versions of enterprise data. 

Agentic AI enhancement with governed enterprise context

Inject trusted, permission-aware historical context into AI agents to improve accuracy and decision support. 

Sovereign, on-prem AI for regulated environments

Deploy enterprise AI within your own infrastructure to activate AI while meeting strict residency and regulatory requirements.

Coming soon: Gaia Catalog

Gaia Catalog will extend the Cohesity Data Cloud by enabling secure, governed access to curated, time-series enterprise data for advanced AI and analytics use cases. Activate immutable backup data directly within your analytics and AI platforms – without copying it or rebuilding permissions. 

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Testimonials

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JSR Corporation

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Bethany Children's Health Center

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Tift County Schools

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Learn more about Cohesity Gaia and AI-ready data 

Traditional AI search tools require copying enterprise data into new platforms or cloud-based data lakes before it can be analyzed. Cohesity Gaia activates immutable, time-series backup data directly from the Cohesity Data Cloud — without duplicating it. Gaia preserves governance, RBAC, and auditability while enabling AI systems to reason over trusted enterprise history. 

No. Gaia can run as SaaS or fully self-managed on-prem. Organizations can activate AI directly where their protected backup data resides, maintaining data residency, sovereignty, and regulatory compliance requirements without migrating sensitive information. 

Yes. Gaia integrates with enterprise AI platforms such as Microsoft Copilot, Google Gemini, and Glean. It injects governed, permission-aware historical context into agentic workflows — without requiring users to change tools or retrain teams.

Generative AI uses algorithms to generate new content (written content, images, video, audio, and computer code, etc.) based on user input. Unlike earlier versions of AI, generative AI can create new content, like news articles, poetry, or cyber threat analyses, presented in a conversational UI.

Responsible AI is an approach to developing and deploying artificial intelligence (AI) from both an ethical and legal point of view. The goal of responsible AI is to employ AI in a safe, trustworthy, and ethical fashion.

Retrieval augmented generation (RAG) AI searches information from large datasets, and uses AI techniques to retrieve the most relevant results matching the intent of the user’s query.

Resources

Blog
Blog
How to get AI insights from your backed up on-prem data
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How to get AI insights from your backed up on-prem data
Solution Brief
Solution Brief
The Platform for AI-Ready Data
Read the solution brief
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