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Gaia
Secure the front door. Email is where most attacks arrive — Gaia is Cohesity’s generative-AI conversational search assistant — ask your own data questions in plain English and get cited answers — turning the vast backup data you already hold (normally inert) into a searchable knowledge asset. Grounded, cited, secure.
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The Cohesity platform family
This page covers Gaia — AI insight over your data. The rest of the Cohesity portfolio:
Quick facts
30-second orientation- Product
- Gaia — gen-AI conversational search over your data
- Vendor
- Cohesity (founded 2013 · Mohit Aron)
- The category
- AI data insight / RAG over enterprise data
- What it does
- Ask your data questions in plain English; get cited answers
- The insight
- Turns inert backup data into searchable knowledge
- The tech
- Retrieval-augmented generation (RAG), grounded in YOUR data
- The edge
- Secure & responsible — grounded, cited, access-aware
- Reach
- Backup, on-prem, Databricks/Fabric (Gaia Catalog), M365 Copilot
- Vs
- Rubrik AI, generic enterprise search, DIY RAG
- In India via
- TechBag — licensing, quotes, GST invoicing, support
Understand AI-over-your-data before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is Cohesity Gaia?
A generative-AI conversational search assistant — ask your own data questions in plain English, get cited answers — turning the backup data you already hold into a searchable knowledge asset.
Inert backup data vs AI-searchable data — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | Gaia (Cohesity) |
|---|---|---|
| Backup data | Inert (cost only) | Searchable knowledge asset |
| Finding info | Manual, keyword search | Ask in plain English |
| Answers | A list of hits | Synthesised, cited answers |
| AI trust | Hallucination risk | Grounded (RAG) + cited |
| Security | Leak risk with naive AI | Access-aware, controlled |
| Reach | One silo | Backup, on-prem, Databricks/Fabric, M365 |
| Data value | Just stored | Protect, secure AND get insight |
| Positioning | Late me-too | Pioneer (2024), advancing |
Gaia turns your inert backup data into a searchable knowledge asset — ask in plain English, get grounded, cited, secure answers (RAG). It’s the AI-insight layer of the Cohesity platform (protect + secure + insight), not a general enterprise-search replacement. TechBag sets the right expectations.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Your Data as the Source
Use the vast data your organisation already backs up (documents, records, files, application data, across years) as the searchable source — a comprehensive corpus of your knowledge that normally just sits inert. So the data you already protect becomes a knowledge asset. The huge, underused corpus, unlocked.
Conversational Search (RAG)
Ask natural-language questions of your data and get AI-generated answers — using retrieval-augmented generation (RAG), which grounds a generative-AI model in YOUR data (retrieving relevant content, then generating an answer from it). So you converse with your data, not run keyword searches. Talk to your data.
Grounded, Cited Answers
Because answers are grounded in your actual data and CITE their sources, they're relevant and verifiable — reducing the hallucination risk of ungrounded AI. So you can trust and check the answers. Grounding-plus-citation is what makes AI over your data reliable. Answers you can verify.
Secure & Responsible
Gaia operates securely — respecting security and access controls, operating over data you already hold (your backups), and grounding the AI in your data appropriately — so you get AI insight without inappropriately exposing sensitive data. Responsible AI over enterprise data. Insight, safely.
Broad Reach & Integration
Gaia extends beyond backup — to on-premises backup data, a Gaia Catalog spanning sources like Databricks and Microsoft Fabric, and Microsoft 365 Copilot integration — so its AI insight reaches across your data estate. AI insight over your broader data, not just one silo. Wide reach for wide insight.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Twelve capabilities. Ask, trust, reach.
Gaia lets you ask your own data questions in plain English and get cited answers — turning inert backup data into a knowledge asset — the AI insight of portfolio, and paired with the human firewall.
Natural-Language Questions
Ask questions of your data in plain English — 'Where do we mention X?', 'Summarise our agreements with Y', 'Find records about Z' — and get answers, no query language or manual searching. Conversational access makes your data usable by anyone, not just search experts. Just ask.
Retrieval-Augmented Generation
Uses RAG — retrieving relevant content from YOUR data, then generating an answer grounded in it — so the AI answers from your actual data, not just its training. RAG is the technique that makes generative AI useful and trustworthy over private enterprise data. Your data, answered by AI.
Summarise & Synthesise
Summarise documents, synthesise across many sources, and extract key points — so you get concise, synthesised answers from large amounts of data, not just search hits. AI synthesis turns finding data into understanding it. From data to understanding.
Search Across Your Backup Data
Search and reason over the vast backup data your organisation already holds — unlocking a comprehensive corpus that normally just sits inert. So the data you already protect becomes a searchable knowledge source. Make your backup data useful, not just stored.
Cited, Verifiable Answers
Answers cite their sources in your data — so you can verify them and trace them back, and you're not trusting an unsourced AI claim. Citations make AI answers checkable and trustworthy — essential for enterprise use. Trust, but verify.
Grounded (Reduced Hallucination)
Because answers are grounded in your actual data (RAG), Gaia reduces the hallucination risk of ungrounded generative AI — it answers from your data, not by making things up. Grounding is how you make generative AI reliable for real work. Answers from your data, not invention.
Security & Access Controls
Gaia respects security and access controls — so people get answers only from data they're allowed to see, and sensitive data isn't inappropriately exposed. Access-aware AI is essential: insight must not become a data-leak. Secure, access-aware insight.
Responsible, Enterprise-Grade AI
Designed for responsible enterprise use — grounded in your data, operating over data you already hold, without inappropriate external exposure — so you get AI insight in a controlled, trustworthy way. Responsible AI over enterprise data is what makes it adoptable. AI you can trust with your data.
On-Premises Backup Data
Extended to on-premises backup data (across platforms like Cisco UCS, HPE, Nutanix) — so Gaia's AI insight reaches your on-prem data, not just cloud. Reaching on-prem data matters for enterprises with hybrid estates. Insight over on-prem data too.
Gaia Catalog (Databricks, Fabric)
A Gaia Catalog enables discovery across broader data sources — including Databricks and Microsoft Fabric — so Gaia's reach extends beyond backup to your wider data platforms. Broader reach means broader insight. Discover across your data estate.
Microsoft 365 Copilot Integration
Integrates with Microsoft 365 Copilot — so your Cohesity-protected data can be brought into the M365 Copilot experience. Integration with the tools people use extends where Gaia's insight is available. Insight where you work.
A Pioneer in AI-over-Backup
Gaia was among the first generative-AI conversational search assistants for enterprise backup data (announced early 2024) — so Cohesity has been advancing this capability, from the market-leading data-protection provider. A pioneering, advancing AI-over-your-data capability. Ahead on AI insight.
Watch Cohesity Gaia in action
The overview, getting started, and protecting M365 email.
Watch a demo of Cohesity Gaia
Gaia conversational AI.
Search years of data fast with Cohesity Gaia
Conversational search on your data.
Building a Cyber Vault Fortress with FortKnox
The broader Cohesity platform.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →The endpoint catches what arrives. Email stops it arriving.
Here’s what genuinely sets Cohesity Gaia apart.
Your backup data is a huge asset — Gaia unlocks it
The core reason Cohesity Gaia matters is that it unlocks value from your backup data — a vast, comprehensive corpus of your organisation's knowledge that normally just sits inert — by letting you search and reason over it conversationally with AI. The dormant-data problem: organisations back up enormous amounts of data — often a comprehensive copy of everything: documents, records, files, emails, application data, accumulated over years. This backup data represents a huge, comprehensive corpus of your organisation's knowledge and information. But traditionally, it just sits in the backup system, used only if you need to restore something. It's treated as inert — a cost you pay for insurance, with no other value extracted. Yet it's actually one of the largest and most comprehensive collections of your organisation's data you have — which, if you could search and reason over it, holds enormous latent value: answers to questions, insights, records you need to find, knowledge locked away. The value is there, dormant. What Gaia does — unlocks it conversationally: Gaia unlocks this dormant value using generative AI: Conversational search — ask natural-language questions of your data ('Where do we mention X?', 'Summarise our contracts with Y', 'Find records about Z') and get AI-generated answers, grounded in and citing your actual data. RAG — it uses retrieval-augmented generation to ground the AI in YOUR data, so answers come from your actual content, not just a model's training. Summarise and synthesise — get concise, synthesised answers from large amounts of data, not just a list of search hits. So instead of your backup data being inert, you can converse with it — asking questions and getting answers from the comprehensive corpus you already have. The dormant asset becomes a usable knowledge source. Why this reframes backup's value: this fundamentally changes what your backup data is worth: From cost to asset — backup data goes from being purely an insurance cost to also being a valuable, queryable knowledge source. New use cases — you can find information, answer questions, extract insights, and locate records across years of data — useful for research, discovery, compliance, decision-making. More from the same data — you get additional value from data you're already storing (and paying to store), with no new data collection. AI-era relevance — as AI makes data insight increasingly valuable, having AI over your comprehensive backup data is a forward-looking advantage. So Gaia turns the huge, underused asset of backup data into a searchable, insight-yielding resource — more value from what you already protect. The value: Cohesity Gaia unlocks the value of your backup data — a vast, comprehensive, normally-inert corpus of your organisation's knowledge — by letting you search and reason over it conversationally with AI, turning a cost into a usable asset. For getting more from your data, this matters. TechBag helps organisations unlock their data with Cohesity Gaia. TechBag helps you turn dormant backup data into usable knowledge.
Grounded, cited, secure — responsible AI over your enterprise data
A defining strength of Cohesity Gaia is that it does AI over your data RESPONSIBLY — grounded in your actual data, citing sources, and respecting security and access controls — which matters because ungrounded, insecure AI over enterprise data is untrustworthy and risky, while responsible AI is adoptable. The risks of naive AI over data: applying generative AI to enterprise data naively creates serious problems: Hallucination — ungrounded generative AI can make things up (plausible but false answers), which is unacceptable for real business decisions. Trust — if you can't verify where an answer came from, you can't trust it. Security/access — if AI surfaces data to people who shouldn't see it (ignoring access controls), it's a data-leak; and sending sensitive data to external AI models inappropriately is a serious risk. Relevance — a generic model without your data can't answer questions about YOUR organisation. So naive AI over enterprise data is untrustworthy (hallucination, no verification) and risky (security/access, external exposure) — which is exactly why enterprises are cautious about it. How Gaia does it responsibly: Gaia is designed to address these: Grounded (RAG) — answers are grounded in YOUR actual data via retrieval-augmented generation, so they come from your content (relevant to your organisation), not the model's imagination — which reduces hallucination. Cited — answers cite their sources in your data, so you can VERIFY them and trace them back — you're not trusting an unsourced claim. Access-aware — Gaia respects security and access controls, so people get answers only from data they're permitted to see — insight doesn't become a data-leak. Operates on data you hold — it works over data you already have (your backups), designed for responsible, controlled use rather than inappropriately exposing your data. So Gaia provides AI insight over your data in a grounded, verifiable, secure, access-aware way — responsible enterprise AI, not a risky naive application. Why this matters: for enterprises to actually adopt AI over their data, it must be trustworthy and safe — and Gaia's grounding (reduced hallucination), citations (verifiability), and access-awareness (security) are exactly what make it adoptable for real use. Unreliable or insecure AI over your data is worse than useless (it's dangerous); responsible AI is genuinely valuable. Gaia's responsible design is what lets you actually use AI over your enterprise data with confidence. The value: Cohesity Gaia does AI over your data responsibly — grounded (reduced hallucination), cited (verifiable), and access-aware (secure) — so you get trustworthy, safe AI insight over your enterprise data, not a risky naive application. For adoptable enterprise AI, this matters. TechBag helps organisations get responsible AI insight over their data with Cohesity Gaia. TechBag helps you use AI over your data safely and trustworthily.
A pioneer, on the world's largest data-protection platform
A significant strength of Cohesity Gaia is that it was a pioneer in generative-AI conversational search over enterprise backup data (announced early 2024) and runs on the world's largest data-protection platform — which matters because it means Gaia is an advancing, well-positioned capability with access to a vast, comprehensive data source. A first-mover, advancing capability: Gaia was among the first generative-AI conversational search assistants for enterprise backup data — Cohesity announced it in early 2024, ahead of many, and has been advancing it since: extending Gaia to on-premises backup data, adding a Gaia Catalog spanning broader sources (Databricks, Microsoft Fabric), and integrating with Microsoft 365 Copilot. So Gaia is not a late, me-too feature — it's a pioneering, actively-advancing capability from a vendor that moved early on AI-over-your-data. The ideal data source — backup data: crucially, Gaia sits on Cohesity's data-protection platform — which means it has access to your backup data, one of the most comprehensive corpora of your organisation's data you have. This is actually an ideal foundation for AI insight: it's comprehensive (a copy of everything, across years), it's data you already have (no new collection), and it's in one place (the backup platform). So Cohesity is uniquely positioned to offer AI over your data — because it's the platform that already holds a comprehensive copy of it. A data-protection vendor doing AI-over-your-data has a natural advantage: the data is already there. Backed by the market leader: Gaia runs on Cohesity's platform — and Cohesity (post the Veritas combination) is the world's largest data-protection provider, protecting 12,000+ customers including 85+ of the Fortune 100. So Gaia is a well-resourced, well-positioned capability from the market leader, integrated with your data protection, and advancing. Founded by Mohit Aron (Google File System, Nutanix co-founder), Cohesity has deep data expertise — fitting for a vendor making backup data AI-useful. Why it matters: for AI-over-your-data, being a pioneer (advancing capability), sitting on a comprehensive data source (backup data), and being from the market leader (resources, integration) are real advantages. Gaia is well-positioned to make your data useful — because Cohesity already holds it, moved early, and keeps advancing. It's AI insight from the vendor that protects your data, over the data it protects. The value: Cohesity Gaia is a pioneering (early-2024), advancing generative-AI capability on the world's largest data-protection platform — with natural access to your comprehensive backup data — so it's well-positioned to make your data useful, from the market leader. For a well-backed AI-insight capability, this matters. TechBag helps organisations leverage Gaia on the Cohesity platform. TechBag provides pioneering AI insight over your data, from the market leader.
Broad reach — backup, on-prem, and beyond (Catalog, Copilot)
A valuable strength of Cohesity Gaia is its broadening reach — beyond backup data to on-premises data, broader sources (Databricks, Microsoft Fabric via the Gaia Catalog), and Microsoft 365 Copilot integration — which matters because AI insight is most valuable when it reaches across your data estate, not just one silo. Insight is limited by reach: AI-over-your-data is only as useful as the data it can reach. If it only covers one silo, its insight is partial. The more of your data estate the AI can search and reason over, the more comprehensive and valuable its answers. So broadening reach — across data types, locations and platforms — directly increases the value. Gaia's broadening reach: Gaia started with backup data (a comprehensive corpus) and has been extending its reach: On-premises backup data — extended to on-prem data (across platforms like Cisco UCS, HPE, Nutanix), so it reaches on-prem, not just cloud — important for hybrid enterprises. Gaia Catalog (broader sources) — a Gaia Catalog enables discovery across broader data sources including Databricks and Microsoft Fabric — extending reach to your wider data platforms and lakes. Microsoft 365 Copilot integration — integrates with M365 Copilot, so Cohesity-protected data can be brought into the Copilot experience — reaching where people already work. So Gaia's insight increasingly spans your data estate — backup, on-prem, broader data platforms, and into M365 Copilot — not just one silo. The value of broad reach: this broadening reach makes Gaia more valuable: More comprehensive answers — the more of your data Gaia reaches, the more complete its insight. Hybrid coverage — reaching on-prem AND cloud data suits real enterprise estates. Integration with your tools — bringing insight into M365 Copilot means it's available where people work. Beyond backup — spanning broader data platforms (Databricks, Fabric) makes it a broader data-insight capability, not just backup search. So Gaia isn't limited to being backup search — it's a broadening AI-insight capability across your data estate. Why it matters: for AI insight to deliver maximum value, it should reach across your data — and Gaia's expanding reach (on-prem, broader sources, M365 Copilot) means more comprehensive, more available insight. It's evolving from AI-over-backup toward AI-over-your-data-estate, which is more valuable. The value: Cohesity Gaia's broadening reach — backup, on-premises, broader sources (Databricks, Fabric via Gaia Catalog), and M365 Copilot — means more comprehensive, more available AI insight across your data estate, not just one silo. For maximum insight value, this matters. TechBag helps organisations extend Gaia's reach across their data. TechBag helps you get AI insight across your data estate, not just one silo.
Part of Cohesity's platform — protect, secure AND get insight
A strategic strength of Cohesity Gaia is that it's part of Cohesity's broader platform — which protects your data, secures it, AND (with Gaia) yields insight from it — so you get comprehensive value from one platform, and AI insight integrated with your data protection. The integrated-platform value: Gaia isn't a standalone AI tool — it's part of Cohesity's data-protection-and-security platform. That platform does three things with your data: Protect — back up and recover your data, cyber-resiliently (DataProtect, NetBackup, immutable, fast recovery). Secure — protect the data with security (threat detection, cyber vaulting via FortKnox, data-security/DSPM capabilities). Get insight — and, with Gaia, unlock AI insight from your protected data. So one platform protects, secures AND yields insight from your data — a comprehensive value proposition, versus separate tools for each. Why integration matters: having Gaia integrated with your data protection (rather than a separate AI tool) is valuable: The data is already there — Gaia works over the data Cohesity already protects, so there's no separate data pipeline to build (a data-protection vendor doing AI-over-your-data has the data ready). Security carries over — the platform's security and access controls apply to Gaia's insight, so AI insight is secure and access-aware (responsible AI). One platform — protect, secure and get insight from one place, one vendor — simpler and more coherent than assembling separate protection, security and AI tools. Consolidation value — more value from the platform you already have for data protection. So Gaia extends Cohesity's platform from 'protect and secure your data' to 'protect, secure AND get insight from your data' — comprehensive data value from one integrated platform. Why it matters: getting protection, security AND AI insight from one integrated platform is more valuable and coherent than separate tools — the data's already there (for Gaia), security carries over (responsible AI), and it's one platform. As organisations want to do more with their data (protect, secure, and now derive AI insight), an integrated platform that does all three — from the market-leading data-protection vendor — is compelling. Gaia is what makes Cohesity's platform also an insight platform. The value: Cohesity Gaia is part of a platform that protects, secures AND yields AI insight from your data — integrated, so the data's ready, security carries over, and it's one platform — comprehensive data value from the market leader. For doing more with your data, this matters. TechBag helps organisations get protection, security and insight from Cohesity's platform. TechBag helps you protect, secure and unlock insight from your data, on one platform.
The honest scope
Cohesity Gaia is a generative-AI, conversational search assistant that lets you ask questions of your own data in plain English and get cited answers — turning the vast backup data your organisation already holds (normally an inert cost) into a searchable, insight-yielding knowledge source. It uses retrieval-augmented generation (RAG) to ground the AI in your data, does so responsibly (grounded, cited, access-aware), and has broadening reach (backup, on-prem, Databricks/Fabric via Gaia Catalog, M365 Copilot integration). Announced early 2024, it was a pioneer in AI-over-enterprise-backup-data, on the world's largest data-protection platform. The honest framing: Gaia's strengths are the genuinely useful idea (unlock value from your comprehensive, otherwise-inert backup data), the responsible design (grounded/cited/secure — essential for enterprise trust), the natural advantage (a data-protection vendor doing AI-over-your-data has the data ready), and being pioneering and market-leader-backed. The honest positioning: Gaia is an AI-insight capability that comes WITH and enhances your Cohesity data protection — it's most valuable as part of adopting Cohesity's platform (where your data already lives), turning backup data into a usable asset. It's a genuinely differentiated capability (a data-protection vendor uniquely positioned to offer AI-over-your-data), and among the earliest. In the competitive landscape: other modern data-protection vendors are adding AI capabilities too — Rubrik (and others) have AI features — so AI-over-your-data is becoming a competitive area, though Cohesity moved early and has advanced Gaia notably. It's also worth being clear on scope: Gaia is about unlocking insight/search from your (backup) data — it's not a general-purpose enterprise AI assistant replacing dedicated enterprise-search or knowledge-management tools for all use cases, but rather a powerful, responsible way to converse with the comprehensive data you already protect (with expanding reach). Its value grows with Cohesity adoption (the data's there) and as its reach broadens. It's most compelling for organisations wanting to unlock AI insight from their protected data, responsibly, as part of a platform that also protects and secures it — especially Cohesity customers. TechBag scopes Gaia honestly — as the AI-insight layer of the Cohesity platform — and licenses it in INR/GST with local support.
The numbers behind the platform
What your Cohesity Gaia journey looks like
AI-insight scoping
Your data (what you back up, on-prem/cloud, broader sources), your insight use cases (search, compliance, discovery, decisions), and whether you run Cohesity. TechBag scopes it and sets right expectations (insight layer, not general enterprise search).
Enable Gaia over your data
Enable Gaia over your Cohesity-protected data — with security and access controls applied — so you can start asking questions in plain English and getting cited answers from your own data.
Extend the reach
Extend Gaia's reach — to on-prem data, broader sources via the Gaia Catalog (Databricks, Fabric), and M365 Copilot integration — so insight spans your estate, not one silo. Broader, more valuable insight.
Operationalise insight
Build Gaia into your workflows (compliance, discovery, knowledge, decisions) responsibly, and leverage the integrated platform (protect, secure, insight). TechBag models it in INR/GST and supports you locally.
Trusted across regulated industries in 100+ countries
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“Gaia turned our backup data from a cost into an asset — we ask questions in plain English and get cited answers from years of our own data. Data that just sat there is now genuinely useful. A clever, valuable idea.”
“The responsible design matters — grounded in our data (so fewer hallucinations), cited (so we can verify), and access-aware (so it doesn't leak). That's what made AI over our data actually adoptable for us.”
“Because Cohesity already protects our data, Gaia had it ready — no separate data pipeline. A data-protection vendor doing AI-over-our-data has a natural advantage: the data's already there. Neat.”
“Searching years of records conversationally — for compliance and discovery — saved enormous time versus manual searching. Our comprehensive backup corpus became a searchable knowledge source.”
“The broadening reach (on-prem, and via Gaia Catalog to Databricks/Fabric, plus M365 Copilot) means insight across our estate, not one silo. It's evolving from backup search into broader AI insight.”
“It's an insight layer that came with our Cohesity platform — TechBag was clear it enhances our data protection (protect, secure AND insight), not a standalone enterprise-search replacement. Right expectations.”
“Cohesity moved early on this (announced 2024) and keeps advancing Gaia. Being a pioneer, from the market-leading DP provider, gave us confidence it's a serious, advancing capability.”
“One platform that protects, secures AND lets us get AI insight from our data is genuinely valuable — more from the data (and platform) we already have. TechBag scoped it in INR/GST.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the AI-over-enterprise-data / gen-AI search market — tap any vendor to see why it sits where it does.
TechBag Email-Security Grid
Execution strength vs product vision — the classic market map, minus the paywall.
Gen-AI search over your backup/enterprise data (pioneer). This page's product.
Detection × Portfolio Integration
The grid nobody publishes — how strong the email detection is vs how integrated with the wider security portfolio.
Over your data, responsibly, integrated.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Cohesity Gaia vs the AI-over-your-data field
Rubrik AI, general enterprise search, DIY RAG and M365 Copilot — honest lanes; the edge is responsible gen-AI over the data you ALREADY back up (grounded, cited, secure), integrated with data protection. Rubrik shop? Rubrik AI. M365-only? Copilot (Gaia integrates). We say so.
| Dimension | Cohesity Gaia | Rubrik AI | Generic enterprise search | DIY RAG (build it) | M365 Copilot (alone) | No AI over data |
|---|---|---|---|---|---|---|
| Position | Gen-AI search over your backup/enterprise data (pioneer) | Rival DP vendor adding AI | Keyword/enterprise search (not gen-AI over backup) | Build your own RAG (effort) | MS AI over M365 content | Backup data stays inert |
| Conversational (natural language) | Yes — plain English | Yes (AI) | Mostly keyword | If you build it | Yes | No |
| Over your BACKUP data (comprehensive corpus) | Yes — data's already there | Some (its platform) | Not backup-focused | You'd wire it up | M365 content only | No |
| Grounded + cited (reduced hallucination) | Yes — RAG + citations | Yes | Search results (not synthesised) | Depends on your build | Yes (grounded in M365) | N/A |
| Security / access-aware | Yes — respects controls | Yes | Varies | Your responsibility | Yes (M365) | N/A |
| Reach (on-prem, broader sources) | Backup, on-prem, Databricks/Fabric, M365 Copilot | Its platform | Configured sources | Whatever you wire | M365 only | None |
| Integrated with data protection | Yes — on Cohesity platform | On Rubrik platform | Separate | Separate build | Separate | N/A |
| Effort to get value | Low (data's there, it's built) | Low (on its platform) | Deploy/configure | High (build RAG) | Low (if on M365) | None (but no value) |
| Best fit | AI insight over the data Cohesity already protects (esp. Cohesity customers) | AI on the Rubrik platform | General enterprise search | Custom RAG (have the team) | AI over M365 content | Nobody — leaves backup data inert |
Which email-security approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Cohesity Gaia if…
- ✓You want to unlock your backup data — ask it questions in plain English, get cited answers (inert cost → asset)
- ✓You want RESPONSIBLE AI over your data — grounded (reduced hallucination), cited (verifiable), access-aware (secure)
- ✓You run (or will run) Cohesity — the data's already there, so AI insight comes with your data protection
- ✓You want protect + secure + INSIGHT from one integrated platform, from the market-leading DP provider
Rubrik AI if…
- ✓You're on the Rubrik platform and want its AI capabilities (the rival DP vendor)
Enterprise search if…
- ✓You need general-purpose enterprise search across live systems (a different, broader tool)
DIY RAG if…
- ✓You have the AI team to build and secure your own RAG over your data (effort, responsibility)
M365 Copilot alone if…
- ✓Your insight need is only over M365 content (Gaia can integrate with it and add your backup corpus)
What do email threats cost you?
Drag the sliders (count data volume/knowledge workers; hours spent finding info as loaded cost). Estimates contrast inert backup data (manual searching, dormant knowledge) vs Gaia (conversational, cited answers across years of data) — the win is time saved finding information and value unlocked from data you already hold. Illustrative; Gaia is quote-priced (part of the platform).
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
Three ways to consume it
Cohesity Gaia is quote-priced as part of the Cohesity platform — an AI-insight capability over the data Cohesity protects, scoped to your deployment. It adds insight to your data-protection investment (data’s already there). TechBag scopes it, sets expectations, and quotes in INR/GST.
Gaia (AI insight on the platform)
Best for unlocking your protected data
- Quote-priced as part of the Cohesity platform — enterprise
- Ask your data in plain English; grounded, cited answers
- Responsible (RAG, access-aware); reach: backup, on-prem, Databricks/Fabric
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
+ The Cohesity platform
Best for protect + secure + insight
- Works over data Cohesity already protects (data’s ready)
- M365 Copilot integration; Gaia Catalog
- TechBag scopes it + sets expectations in INR/GST
Buy it for less — TechBag pricing beats list
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Get an India-ready quote
Tell us your device counts and current tools — we’ll model it against what you spend today.
The 8 questions to ask every vendor
Take this into your next vendor call — including ours.
Is your backup data inert (just stored)? Gaia lets you ask it questions in plain English and get cited answers — turning a cost into a knowledge asset.
Do you need AI over your data to be trustworthy and safe? Gaia is grounded (RAG, reduced hallucination), cited (verifiable) and access-aware (secure).
Do you run (or will run) Cohesity? Gaia works over the data Cohesity already protects — so AI insight comes with your data protection, data ready.
Search, compliance, discovery, knowledge, decisions across years of data? Gaia's conversational search over your comprehensive corpus serves these.
Need insight across on-prem and broader sources (Databricks/Fabric) and in M365 Copilot? Gaia's reach is broadening across your estate.
Understand Gaia is the AI-INSIGHT layer of the Cohesity platform — not a general enterprise-search replacement for all use cases. TechBag sets the right expectations.
Rubrik shop? Rubrik AI. M365-only insight? Copilot. Custom needs + AI team? DIY RAG. TechBag compares honestly.
Quote-priced (enterprise — part of the Cohesity platform) — TechBag scopes it and quotes in INR/GST.
Questions buyers ask
Ready to talk to your own data?
Scope Cohesity Gaia (ask your backup data questions in plain English, get cited answers, responsibly) — or let a TechBag advisor set the right expectations (the AI-insight layer of the Cohesity platform) and quote it in INR/GST.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.