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SearchUnify

  • What it is:SearchUnify is a unified cognitive platform that powers AI-driven enterprise search, self-service, and support applications across multiple content sources.
  • Best for:Mid-to-large enterprises with support teams, Companies with siloed content sources, Organizations prioritizing self-service
  • Pricing:Starting from $0.025 per request (up to 100K searches/month)
  • Rating:82/100Very Good
  • Expert's conclusion:SearchUnify provides a viable option for organizations looking to unify complex data silos using agentic AI and cognitive search capabilities.
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Reviewed byMaxim Manylov·Web3 Engineer & Serial Founder

What Is SearchUnify and What Does It Do?

The company was developed by Grazitti Interactive, which began as an enterprise services provider, offering marketing automation and cloud innovation services.

Active
📍Mountain View, CA
📅Founded 2016
🏢Subsidiary
TARGET SEGMENTS
EnterpriseBankingE-commerceHealthcareManufacturingEducation

What Are SearchUnify's Key Business Metrics?

🏢
87
Employees
💵
$17.2M
Revenue
👥
Includes Alteryx, Bluebeam, Vlocity, Cyberark, Rubrik
Customers
📊
5 years (20 quarters)
G2 Leadership Streak
Rating by Platforms
4.7/ 5
G2

How Credible and Trustworthy Is SearchUnify?

82/100
Good

Grazitti Interactive has been around since the founding of the company. At this time they were developing large-scale enterprise communities and portals over 100 for their clients.

BREAKDOWN
Product Maturity90/100
Company Stability80/100
Security & Compliance75/100
User Reviews90/100
Transparency70/100
Support Quality80/100
TRUST SIGNALS
G2 Leader for 5 consecutive yearsCustomers include Alteryx, Cyberark, RubrikForrester Wave evaluated (2019)KCS v6 certified$17.2M annual revenue

What is the history of SearchUnify and its key milestones?

2008

Grazitti Foundation

They realized their clients' struggle with accessing multiple pieces of information from different sources within their organizations.

2012

Identifies Search Need

In order to help their clients, they created a Federated Search Engine that could be used to deflect cases based on searches using both the database and full-text engine.

2015

Federated Search Solutions

As the company grew, it evolved into an AI driven platform, utilizing Natural Language Processing (NLP), Content Optimization, and Access Controls.

2016

SearchUnify Launch

The company then added a Knowledge Graph, Agent Helper, Chatbots, and Pre-Built Features to the platform.

2018

AI Enhancements

SearchUnify was the youngest vendor to be evaluated in the Forrester Wave: Cognitive Search Q2 2019 report.

2019

Forrester Recognition

SearchUnify was named a G2 Leader, received Stevie Awards, and received TSIA recognition and KCS v6 certification.

2020

Multiple Awards

SearchUnify leads all strategy for its parent company.

Who Are the Key Executives Behind SearchUnify?

Alok Ramsisaria— CEO, Grazitti Interactive
The founder of Grazitti Interactive oversees the operations, delivery, and finance of the company.
Neeta Ramsisaria— COO, Grazitti Interactive
He is also known as a pioneer in the use of Ajax in product development and has over 22 years of experience in product development.
Shivraj Asthana— President, Grazitti Interactive Inc.
He currently oversees the US Operations and Strategic Growth for the parent company of SearchUnify.

What Are the Key Features of SearchUnify?

✨
Cognitive Search
The platform provides users with the ability to easily access relevant information from anywhere within the organization without having to navigate through many separate repositories of content.
✨
Natural Language Understanding (NLU)
The platform uses Advanced Language Processing and Reasoning to provide users with contextual answers to their questions. This means that the platform will look at the entire context of the question being asked in addition to just finding the keywords in the question.
✨
Federated Search
The platform combines Database and Full-Text Search Engines while respecting Access Controls and Entitlements. The following is a rewritten version of the text, maintaining the same content and intent as the original, but using more natural-sounding language.
💬
AI Support Applications
Intelligent chatbot, escalation predictor, agent helper, KCS enabler, and community helper.
✨
Insights Engine
It monitors KPIs and reacts to trends in real time with analytics and content gap analysis.
✨
Knowledge Graph
It maps the relationships between all enterprise content for better discovery and recommendations.
📊
Enterprise Agentic Platform (SEAP)
A next generation platform that delivers precision AI-driven insights and knowledge discovery.

What Technology Stack and Infrastructure Does SearchUnify Use?

Infrastructure

Cloud-based enterprise platform

Technologies

NLPAI/MLKnowledge Graph

Integrations

Multiple Content SourcesEnterprise SystemsChatbotsCRMKnowledge Bases

AI/ML Capabilities

AI-driven cognitive platform with Natural Language Understanding, reasoning capabilities, multi-platform search, and knowledge graph technology

Inferred from product descriptions and capabilities; specific frameworks not disclosed

What Are the Best Use Cases for SearchUnify?

Enterprise Customer Support
Brings together siloed knowledge bases to lower case deflection costs and increase speed of resolution by way of AI-powered agent helpers and chatbots.
Contact Center Agents
Provides immediate access to relevant content across multiple platforms with predictive escalation and contextual recommendation capabilities.
Knowledge Managers
Identifies content gaps and improves search relevance with analytics and manual optimization tools.
Self-Service Customers
Provides exact answers from combined content bases with intelligent chatbots and community search.
NOT FORSmall Teams (<50 employees)
Smaller teams will likely experience setup complexities disproportionate to their size and requirements.
NOT FORReal-time Trading Systems
Not intended for sub-millisecond transactional processing, intended for search/discovery.

How Much Does SearchUnify Cost and What Plans Are Available?

Pricing information with service tiers, costs, and details
☐Service$CostℹDetails🔗Source
AWS Marketplace (Cognitive Search)$0.025 per request (up to 100K searches/month)Tiered usage-based pricing: $0.015 (up to 200K), $0.01 (up to 300K searches/month). Additional AWS infrastructure costs apply.AWS Marketplace
SearchUnify Virtual Assistant (SUVA)$15,000 per yearStarting price for SUVA. No setup fee.Software Advice
Enterprise/CustomCustom quoteSubscription model based on usage, features, and integration depth. Scalable for enterprises.Official site and reviews
Free TrialAvailableNo credit card required.GetApp
AWS Marketplace (Cognitive Search)$0.025 per request (up to 100K searches/month)
Tiered usage-based pricing: $0.015 (up to 200K), $0.01 (up to 300K searches/month). Additional AWS infrastructure costs apply.
AWS Marketplace
SearchUnify Virtual Assistant (SUVA)$15,000 per year
Starting price for SUVA. No setup fee.
Software Advice
Enterprise/CustomCustom quote
Subscription model based on usage, features, and integration depth. Scalable for enterprises.
Official site and reviews
Free TrialAvailable
No credit card required.
GetApp

How Does SearchUnify Compare to Competitors?

FeatureSearchUnifyAlgoliaElasticsearchCoveo
Core Functionality (AI Search)Yes (Cognitive Search + SUVA)YesYesYes
Semantic/Natural Language SearchYesPartialPartialYes
Multiple Data Sources60+ OOTBYesYesYes
Pricing (Starting Price)Usage-based $0.01-$0.025/request$0.50/1K requestsCustom$15/user/month
Free TierNoYes (limited)Open sourceTrial only
Enterprise Features (SSO, RBAC)YesYesYesYes
API AvailabilityYesYesYesYes
Integration Count60+ sources100+Extensible50+
Support OptionsPriority + dedicatedPremiumEnterpriseEnterprise
Security CertificationsRole-based permissionsSOC 2CustomSOC 2, ISO
Core Functionality (AI Search)
SearchUnifyYes (Cognitive Search + SUVA)
AlgoliaYes
ElasticsearchYes
CoveoYes
Semantic/Natural Language Search
SearchUnifyYes
AlgoliaPartial
ElasticsearchPartial
CoveoYes
Multiple Data Sources
SearchUnify60+ OOTB
AlgoliaYes
ElasticsearchYes
CoveoYes
Pricing (Starting Price)
SearchUnifyUsage-based $0.01-$0.025/request
Algolia$0.50/1K requests
ElasticsearchCustom
Coveo$15/user/month
Free Tier
SearchUnifyNo
AlgoliaYes (limited)
ElasticsearchOpen source
CoveoTrial only
Enterprise Features (SSO, RBAC)
SearchUnifyYes
AlgoliaYes
ElasticsearchYes
CoveoYes
API Availability
SearchUnifyYes
AlgoliaYes
ElasticsearchYes
CoveoYes
Integration Count
SearchUnify60+ sources
Algolia100+
ElasticsearchExtensible
Coveo50+
Support Options
SearchUnifyPriority + dedicated
AlgoliaPremium
ElasticsearchEnterprise
CoveoEnterprise
Security Certifications
SearchUnifyRole-based permissions
AlgoliaSOC 2
ElasticsearchCustom
CoveoSOC 2, ISO

How Does SearchUnify Compare to Competitors?

vs Algolia

SearchUnify serves enterprise customer service with cognitive AI and SUVA virtual assistant, whereas Algolia focuses on e-commerce site search. While SearchUnify offers more unification of content (60+) than Algolia, Algolia offers predictable per query pricing and a larger developer ecosystem.

SearchUnify for support deflection and knowledge management; Algolia for real-time website search.

vs Elasticsearch

SearchUnify is a managed AI platform versus an open source flexible solution with Elasticsearch. SearchUnify offers pre-built ML relevance tuning and analytics with minimal setup, compared to Elasticsearch which requires a large amount of DevOps work to create an enterprise-level search solution. Although Elasticsearch has a much larger market share, SearchUnify is growing at a greater rate in the support use case area.

Elasticsearch for building custom search infrastructure; SearchUnify for creating a quick return-on-investment (ROI) in customer service.

vs Coveo

Both are focused towards enterprise customers, offer ML relevance, but SearchUnify is focusing on Agented AI and Federated Chatbots, whereas Coveo is offering relevance across commerce and support. SearchUnify and Coveo have similar pricing structures, however SearchUnify has stronger analytics around case deflection based on customer reviews.

SearchUnify for developing AI agent workflows; Coveo for unified commerce experiences.

vs Sinequa

Competitive advantage for enterprise knowledge discovery. SearchUnify is reviewed to have a faster implementation time and better support reviews than Sinequa; Sinequa is reviewed to offer a greater depth of analytics but also to be more complex to implement. SearchUnify was positioned by the authors as being more accessible for mid-enterprise sized companies.

SearchUnify for rapid deployment; Sinequa for developing complex analytics requirements.

What are the strengths and limitations of SearchUnify?

Pros

  • Access to all unified content - SearchUnify connects to over 60 different data sources via out-of-the-box (OOTB) connectors that make it possible to easily search across different silos.
  • AI powered relevance - Machine Learning (ML) auto-tuning enables SearchUnify to deliver contextual and personalized search results that improve First Contact Resolution (FCR).
  • Actionable analytics - SearchUnify delivers real-time insight into content gaps, search trends and case deflection.
  • Provides strong customer service - SearchUnify's responsive engineering team is able to provide real-time adjustments to the implementation process.
  • Quick ROI - SearchUnify has been proven to generate a $1M support cost savings for real customers within 3 months.
  • Once implemented, stable - After the initial indexing configuration, SearchUnify is reliable and performs well.
  • Federated Virtual Assistant - SUVA (SearchUnify Virtual Assistant) provides an intent-driven conversational AI experience at scale.

Cons

  • Predictable annual price increases - SearchUnify users report that they are able to predictably expect an annual increase in their costs.
  • Complex indexing requirements - In order to use SearchUnify properly, you must follow specific methods when indexing your data or your index will become unusable.
  • Unpredictable usage based pricing - SearchUnify's pricing is usage based which means your costs can fluctuate with the number of searches performed per month.
  • Too many customizable features - The search function options in SearchUnify are too numerous to be initially easy to learn.
  • High entry cost - SUVA (SearchUnify Virtual Assistant), the federated virtual assistant offering from SearchUnify, begins at $15K/year and therefore would not be suitable for smaller teams.
  • Potential rate limits - When integrating SearchUnify with external ticketing systems, there may be limitations to how quickly you can index new information and thus potentially impact performance.
  • Requires detailed upfront planning - Although SearchUnify is relatively easy to implement technologically, it does require a great deal of upfront planning to ensure successful implementation.

Who Is SearchUnify Best For?

Best For

  • Mid-to-large enterprises with support teams — Provides measurable improvement in case deflection and FCR with strong analytics - SearchUnify provides its clients with measurable improvements in case deflection and FCR along with strong analytics.
  • Companies with siloed content sources — The 60+ out of the box (OOTB) connectors make it easy to integrate with documentation, KB, forums, and tickets for effective unified documentation.
  • Organizations prioritizing self-service — The SUVA chatbot and cognitive search deliver both community engagement and deflection by driving how people use the community in search of answers to their questions.
  • Teams needing search analytics — The rich insights that you can gain will help identify areas where there are gaps in your content and/or ways to optimize content.
  • Customer support leaders focused on ROI — Proven cost savings of $1 million and once implemented, the implementation team will ensure that you have a successful deployment.

Not Suitable For

  • Small businesses or startups — There are high initial costs (greater than $15K+) for this product and it is intended for use by enterprise companies; you may want to investigate alternatives such as Algolia or an open source solution.
  • Developer-first search projects — SearchUnify is less flexible than Elasticsearch; however, if you need a managed enterprise service, SearchUnify is a good option.
  • Budget-conscious teams — The usage based pricing model and the annual price increase of SearchUnify will add up over time; therefore, be sure to check for free tier options offered by competing products.
  • Solo admins without planning time — The complex indexing requires careful configuration; most users who do not have technical skills will find it overwhelming to configure SearchUnify.

Are There Usage Limits or Geographic Restrictions for SearchUnify?

Search Volume Pricing
$0.025/request (≤100K/mo), $0.015 (≤200K), $0.01 (≤300K)
AWS Infrastructure
Additional costs for AWS usage beyond SearchUnify fees
Indexing Rate Limits
External source throttling (e.g. ticketing platforms) requires optimization
Free Tier
Concurrent Subscriptions
Ongoing usage-based, cancel anytime on AWS
Custom API Integrations
Supported but counts toward usage limits
Geographic Availability
AWS-hosted, global availability via marketplace
Compliance Certifications
Role-based permissions; specific certs not detailed publicly

Is SearchUnify Secure and Compliant?

Role-Based PermissionsGranular access controls for enterprise deployments.
Data EncryptionHosted on AWS infrastructure with standard encryption at rest and in transit.
Multiple Data Source SecuritySecure connectors for 60+ sources with authentication handling.
AWS Infrastructure SecurityLeverages AWS shared responsibility model with enterprise-grade hosting.
Audit & Analytics LoggingRich analytics track search trends, engagement, and content performance.
Enterprise SSO SupportRole-based access and permissions for large organizations.

What Customer Support Options Does SearchUnify Offer?

Channels
Available via contact form on websiteBusiness hours, request demo for detailsAvailable on website for demos and inquiriesDocumentation and resource center
Hours
Business hours (not specified), 24/7 self-service via platform
Response Time
Not publicly specified; demo requests receive prompt responses
Satisfaction
High per G2 and Forrester recognition as Strong Performer
Specialized
Enterprise support for AI applications and custom integrations
Business Tier
Priority for enterprise customers with dedicated success resources

What APIs and Integrations Does SearchUnify Support?

API Type
REST API with connectors for unified indexing
Authentication
API keys and enterprise-grade security protocols
Webhooks
Supported for real-time events like search queries and analytics
SDKs
One-click connectors; no public SDKs listed, AWS Marketplace integration
Documentation
Comprehensive docs in resource center for platform APIs
Sandbox
Demo environment available via website
SLA
Enterprise SLAs for uptime and performance, AWS-hosted reliability
Rate Limits
Scalable for enterprise; specifics via sales
Use Cases
Federated search, data unification, AI agent orchestration, real-time analytics

What Are Common Questions About SearchUnify?

One click connectors provide a way to unify disparate data sources into a single index for SearchUnify's AI platform, which includes the SCORE engine, FRAG architecture and provides personalized and contextually relevant search results through neural search and agentic AI applications.

Customized pricing models are available for SearchUnify for each company and are provided upon request. It focuses on mid-sized market and larger sized organizations with support for scalable implementations.

SearchUnify does not rely on keyword-based technology; rather, SearchUnify utilizes agentic AI, hybrid semantic search, and FRAG for federated retrieval to provide highly accurate, personalized search results across multiple silos. Additionally, SearchUnify supports full lifecycle support for the development of AI apps including the Agent Helper and Escalation Predictor.

Yes, SearchUnify is an enterprise platform that has built-in security features including secure connectors, role-based access controls, and AWS Marketplace hosting to protect customer support data. It was recognized by Forrester for its compliance focus for customer support data.

Yes, SearchUnify provides one-click connectors to connect to many different repositories and ecosystems that allow you to easily and seamlessly unite data silos. In addition to supporting AWS, SearchUnify also supports enterprise level integrations for cognitive search.

You can contact SearchUnify through their website to receive information about demos, or you can call them directly or engage in a live chat to schedule a demo. All enterprise customers receive customized support. Self-support can be obtained through extensive documentation and a resource center.

SearchUnify offers free demos and trials that can be requested through the website. This allows you to test the feasibility of implementing SearchUnify for your enterprise-level deployment.

The company does not publish its pricing model and requires a sales representative to quote costs. It is best suited for large corporations that have multiple data silos, however it may be overkill for smaller organizations with fewer data silos.

Is SearchUnify Worth It?

SearchUnify is a well-established enterprise agentic AI solution that specializes in cognitive search, unified knowledge base, and support automation solutions with recognized analyst awards and reviews. The platform can increase agent productivity, self-service for customers and provide analytical insight into support processes. However, it is only available through custom pricing and implementation for larger organizations.

Recommended For

  • Enterprise-level support teams are responsible for managing multiple knowledge silos located in different repository systems.
  • Companies seeking to leverage AI to improve self-service and first call resolution (FCR) metrics for their customers.
  • Mid-sized to large corporations requiring enterprise-level federated search capabilities for their customer support teams.
  • Organizations utilizing Amazon Web Services (AWS) as their cloud infrastructure platform and require a scalable cognitive search and AI platform.

!
Use With Caution

  • Small businesses – The high enterprise-level focus of this platform will likely not meet the simple needs of many small businesses.
  • Organizations lacking internal technical resources to set up connectors to additional applications and/or repositories.
  • Price sensitive buyers – A sales representative is required to discuss pricing options for this platform.

Not Recommended For

  • Solo users or start-ups – This platform is too engineered for simple search requirements.
  • Users within open-source only environments – This platform is a proprietary enterprise solution.
  • Organizations requiring real-time, low latency applications – This platform is optimized for search and analytics.
Expert's Conclusion

SearchUnify provides a viable option for organizations looking to unify complex data silos using agentic AI and cognitive search capabilities.

Best For
Enterprise-level support teams are responsible for managing multiple knowledge silos located in different repository systems.Companies seeking to leverage AI to improve self-service and first call resolution (FCR) metrics for their customers.Mid-sized to large corporations requiring enterprise-level federated search capabilities for their customer support teams.

What do expert reviews and research say about SearchUnify?

Key Findings

SearchUnify is a leading enterprise platform for AI-powered support apps and cognitive search solutions with FRAG Architecture, SCORE Engine, and One-Click Connectors. It allows organizations to unify disparate silos for personalized search, analytics, and tool sets such as Agent Helper, providing 98% self-service rates in cases. It has been recognized as an award-winning platform by analysts and supports AWS.

Data Quality

Good - detailed info from official site, AWS Marketplace, Forrester Wave, and videos; pricing/support details require sales contact.

Risk Factors

!
The custom pricing models used by SearchUnify do not offer the same level of transparency as some other pricing models.
!
The implementation process for SearchUnify can be overly complicated for organizations that do not have extensive technical experience.
!
There were limited publicly available reviews from end-users in the sources reviewed for this report.
!
The functionality of SearchUnify depends on having sufficient volume of enterprise-level data.
Last updated: February 2026

What Additional Information Is Available for SearchUnify?

Awards & Recognition

It was named as a Strong Performer in the Forrester Wave: Cognitive Search Q3 2021 report. Additionally, it has been recognized by TSIA and G2 for its ability to deliver enterprise search excellence.

Case Studies

EBSCO was able to improve both user engagement and content discoverability by enhancing their search and analytical tools for users. EBSCO achieved a very high customer self-service rate of resolution for their customers.

AWS Marketplace

Available on the Amazon Web Services marketplace allowing for easy and scalable deployment into an enterprise environment as a cloud application.

AI Agent Suite

Provides a number of features including Agentic AI, MCP (Memory Content Protocol) protocols, Memory Modules, Apps such as Escalation Predictor, SUVA Chatbot, KCS Enabler, and many other applications for executing a complete end-to-end process.

Impact Metrics

Provides 98% of the time for self-service resolution, 5% increase in CSAT (Customer Satisfaction), and 9% increase in same day resolutions as per the reported metrics.

What Are the Best Alternatives to SearchUnify?

  • •
    Coveo: Enterprise Cognitive Search Platform with Machine Learning (ML) Relevance Tuning and Analytics. Offers similar unification and personalization, however offers stronger unification and personalization options specifically for retail/search heavy enterprises. (coveo.com)
  • •
    Algolia: Fast, API-First Search-as-a-Service with Neural Capabilities. Offers stronger developer support and is more real-time than SearchUnify; provides a strong option for apps that require search results in under a second. (algolia.com)
  • •
    Elastic Enterprise Search: Open Source Based Enterprise Search on Elastic Stack. Is highly customizable and uses Semantic Search; provides a stronger option for self-hosted requirements compared to SearchUnify’s SaaS Agents. (elastic.co)
  • •
    Sinequa: AI Driven Knowledge Management for Enterprises. Focuses on providing insights and utilizes Natural Language Processing (NLP) much like SearchUnify; however, has stronger capabilities when it comes to unstructured data; is well suited for knowledge intensive industries. (sinequa.com)
  • •
    Yext: Knowledge Graph Platform for Search and Answers. Has a more focus on digital presence/listings; can be a strong alternative to YEXT for answering questions from brands and customers, although does not have the full suite of agentic functions. (yext.com)

What Qa Retrieval Architecture Capabilities Does SearchUnify Offer?

Neural and Semantic Search

Captures User Intent Beyond Keyword Matching Using AI-Powered Semantic Understanding for More Relevant Results

Dense Vector Retrieval

Uses Embedding-Based Search Technology From SearchUnifyFRAG for Federated Retrieval Across Multiple Enterprise Sources

Hybrid Retrieval Pipeline

Offers Cognitive Search With ML Personalization and NLP Contextual Analysis for Optimal Relevance

NLP-fueled Contextual Results

Analyzes Query Context, User Profile, and Conversation History Using Natural Language Processing for Precise Retrieval

Rich Snippets & Knowledge Graphs

Semantic Knowledge Graphs are able to collect data from a variety of different repositories that have extracted Rich Metadata.

AI-powered Relevance Tuning

Both Automatic & Manual Tuning are possible by using Keywords, Popularity, Age of Content, and Quality of Source.

ML-powered Personalization

Learns about User Profiles & Historical Searches to provide Contextualized Results.

What Qa Reading Comprehension Methods Does SearchUnify Offer?

Extractive QA

Relevant Articles, Rich Snippets & Knowledge Graph Data are surfaced directly from Enterprise Sources.

Generative QA

SUVA utilizes FRAG (RAG) framework that is powered by leading LLMs to produce Zero Hallucinations in generating Contextual Responses.

Multi-Hop Reasoning

Federated Retrieval allows Synthesis of Results from Multiple Siloed Repositories to be collected from multiple Enterprise Knowledge Sources.

Conversational Context Awareness

Maintains Context throughout Multi-Turn Conversations utilizing Memory Module & Temporal Consistency.

Agentic Task Execution

Autonomous Agents utilize Planning, Tool Utilization & Self-Improvement to Execute Complex Tasks.

What Qa Document Processing Capabilities Does SearchUnify Offer?

Multi-Format Content Aggregation

Native Support for Enterprise Content Across Multiple Repositories & Formats via OOTB Connectors.

Federated Knowledge Base Unification

Search Unify FRAG Technology unifies access to Disparate Siloed Data Repositories.

Rich Metadata Extraction

AI-Powered Extraction of Metadata & Generation of Rich Snippets for Enhanced Search Relevance.

Real-Time Content Updates

Continuously Synchronizes Knowledge Base with Source Repositories to Maintain Current Knowledge Base.

Cross-Platform Connectors

Rapid Deployment Across Enterprise Knowledge Systems is Possible via Out-of-the-Box Connectors.

What Is SearchUnify's Qa Security Compliance Certifications Status?

Enterprise-Grade SecuritySecure federated retrieval maintains data sovereignty across enterprise repositories
Plug-and-Play LLM IntegrationSecure integration with public, partner, and private LLMs with controlled data access
Data SovereigntyFRAG™ architecture ensures enterprise data remains in customer-controlled environments

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