Top 5 Secure Glean Alternatives for Enterprise AI in 2026
Enterprise AI is moving beyond finding information.
Employees still need fast access to knowledge scattered across Slack, Google Drive, Jira, Salesforce, SharePoint, email, and other systems. But enterprises increasingly expect AI to go further: understand organizational context, coordinate across applications, run workflows, and take governed actions.
That is where the market around Glean is changing.
Glean began with a strong enterprise-search foundation and has developed into a broader Work AI platform. Today, Glean supports enterprise search, Assistant, AI agents, actions, workflow orchestration, and 275+ native and MCP-based connectors while inheriting permissions from connected systems.
What Should You Compare When Looking for a Glean Alternative?
The modern enterprise AI category is becoming increasingly difficult to compare through feature checklists alone.
Search, chat, RAG, AI agents, workflows, and integrations now overlap across many platforms. A more useful comparison is to evaluate how each platform handles six areas:
Enterprise Context
Can AI securely understand the information spread across your documents, applications, conversations, code repositories, CRM platforms, project tools, and other systems?
Search and Knowledge Discovery
How effectively can employees retrieve accurate, permission-aware information without moving between applications?
AI Agents and Execution
Can AI only answer questions, or can it also create, update, trigger, schedule, and execute work across connected tools?
Governance and Security
Can administrators control agent permissions, models, tools, credentials, workflows, logging, approvals, and data access?
Integrations and Deployment
Does the platform work naturally with your existing enterprise stack? Can you choose where workloads run or which LLMs are used?
Cost and Adoption
Pricing matters, but so do implementation effort, employee adoption, measurable time savings, and the operational cost of maintaining another enterprise AI platform.
Top 5 Secure Glean Alternatives for Enterprise and Agentic AI
Considering the above mentioned criteria, here are top five alternatives in the industry to consider.
The order reflects use-case fit for enterprises moving from AI search toward agents, automation, and governed execution. It is not a ranking by company size or market share.
1. CommandLyne
Best Fit: Google-Centric Enterprises Prioritizing Governed AI Execution
CommandLyne takes a different route from Glean.
Glean’s foundation is enterprise-wide information retrieval and contextual search. CommandLyne is positioned primarily as an AI-native operations and orchestration layer for Google enterprise environments.
It connects environment data, role-based intelligence, AI agents, admin APIs, enterprise tools, workflows, and governance so that organizations can move from understanding what is happening to taking controlled action.
Enterprise Search and Context
CommandLyne is not primarily a Glean-style enterprise-search product, and that distinction matters.
Its data layer focuses on operational enterprise context including users, devices, applications, licenses, policies, and security posture. That information can be normalized and used by role-specific intelligence and execution workflows.
Agents also have configurable memory, file analysis, tools, and enterprise integrations, but organizations whose primary requirement is indexing and searching hundreds of knowledge applications should compare that requirement carefully against Glean’s mature search architecture.
AI Agents and Workflow Automation
This is where CommandLyne places substantially more emphasis.
Organizations can provision dedicated agents for users, teams, or business functions and configure their role, model, memory, allowed tools, and automation rules.
CommandLyne also supports specialized sub-agents underneath a parent agent, reusable team skills, long-running background operations, scheduled routines, and natural-language workflow creation.
Sensitive workflows can operate in a review-before-execute model rather than giving an agent unrestricted ability to act.
Examples include recurring email summaries, Jira updates, research jobs, report generation, meeting follow-ups, and other multi-system enterprise operations.
Integrations and Ecosystem
CommandLyne’s current integration strategy is particularly Google-oriented.
Its published integration set includes Gmail, Google Drive, Calendar, Docs, Chat, Meet, Google Compute Engine, IAM, Gemini, Secret Manager, Cloud Audit Logging, and Google Admin Console.
Third-party integrations listed by CommandLyne include Jira, GitHub, Slack, Telegram, Discord, and search/research services.
This is narrower than Glean’s 275+ connector ecosystem, but also reflects a different architectural goal: deeper orchestration around the Google enterprise stack rather than primarily maximizing indexed search sources.
Security, Governance, and Deployment
Governance is one of CommandLyne’s strongest areas on paper.
Published controls include Google Workspace SSO, RBAC, agent and tool permissions, protected credentials through Google Secret Manager, audit logging, approval gates, runtime isolation, token limits, and an administrative kill switch for sessions and automations.
CommandLyne states that keys, tokens, log archives, and backup artifacts use AES-256 encryption at rest.
Its infrastructure model can also provide a dedicated Google Cloud project per deployment and an individual Compute Engine VM per user, creating stronger runtime separation than a shared-agent workspace architecture.
Deployment can be Codimite-managed on Google Cloud or customer-controlled for organizations that require greater ownership of the cloud environment.
Evidence and Adoption
One measurable product metric published by CommandLyne is its provisioning workflow.
The three-stage process, Create Instance, Deploy Environment, Health Check is stated to take approximately 4–5 minutes for a dedicated agent environment.
CommandLyne also reports:
40+ hours of weekly time reclaimed per user across automation and recurring workflows, and 95% error reduction in repetitive workflow steps.
These are vendor-reported outcomes and are not currently supported by a publicly available independent benchmark or large third-party review dataset. Prospective customers should therefore validate comparable improvements through a pilot using their own workflows.
That distinction is important when comparing CommandLyne with more established products that have larger public review populations.
CommandLyne vs. Glean
Choose Glean when: enterprise-wide information retrieval, mature knowledge indexing, and broad connector coverage are central requirements.
Consider CommandLyne when: Google Workspace, Google Cloud, Gemini, or Chrome Enterprise form a significant part of your technology environment and your priority is governed AI orchestration and operational execution.
2. Moveworks
Best Fit: Enterprise Employee Support and AI-Powered Self-Service
Moveworks is one of the more mature enterprise AI platforms in this comparison and overlaps significantly with Glean.
Its platform brings together enterprise search, an AI Assistant, agents, and workflow execution, with particularly deep roots in employee support across IT, HR, finance, and workplace operations.
Enterprise Search and Context
Moveworks Enterprise Search currently advertises 50+ built-in content integrations.
Its architecture combines indexed content with live API search and provides granular filters, authority signals, and permission controls so employees only see information they are permitted to access.
Moveworks documentation also differentiates between classic search connectors and higher-capacity connectors capable of supporting significantly larger document volumes.
AI Agents and Workflow Automation
Moveworks has expanded well beyond its original support-assistant positioning.
Organizations can use Agent Studio to build custom agents, while its Agent Marketplace currently advertises 1,000+ AI agents across enterprise applications and business functions.
Common use cases include finding information, resetting passwords, provisioning software, processing employee requests, approvals, and coordinating tasks across enterprise systems.
Integrations and Ecosystem
Search supports dozens of content systems, while Moveworks’ broader agent and automation ecosystem is designed around applications spanning IT service management, HR, finance, workplace services, and other enterprise functions.
This breadth makes Moveworks particularly relevant to organizations trying to create a single conversational front door for employee services, rather than deploying a separate AI experience for each function.
Security and Deployment
Moveworks targets large and regulated enterprises.
Its security posture includes FedRAMP authorization, and in February 2026 the company announced FedRAMP Moderate authorization, enabling deployment for federal agencies and other organizations with stricter compliance requirements.
The platform also publishes enterprise controls around permissions and secure information retrieval.
Evidence and Adoption
Moveworks currently reports:
6M+ employees relying on the platform
10K AI agents built
8 weeks typical time to value
90% enterprise-wide deployment among its stated deployments.
There is also independent analyst-supported economic evidence, although the study was commissioned by Moveworks.
A Forrester Consulting Total Economic Impact study modeled a composite 30,000-employee organization and calculated 256% ROI over three years, approximately $11.5 million in benefits, and 90,000 productive hours reclaimed annually.
Third-party review coverage is considerably stronger than for some newer alternatives. G2’s Moveworks seller profile showed approximately 4.4/5 across 125 reviews during this research.
Review patterns generally favor usability, search, integrations, and automation of common employee requests, while some users report that more complex issues still require human escalation and that implementation or customization can take additional work.
Moveworks vs. Glean
Choose Glean when: company-wide knowledge retrieval and enterprise context are the main foundation for your AI strategy.
Consider Moveworks when: employee self-service, internal support, and action-oriented automation across IT, HR, and business systems are higher priorities.
3. Atlassian Rovo
Best Fit: Organizations Built Around Jira, Confluence, and Atlassian
Rovo takes advantage of something Atlassian already owns: a significant amount of the context around how product, engineering, service, and business teams plan and execute work.
Rovo combines Search, Chat, Agents, Studio, automation, and Atlassian’s Teamwork Graph.
Enterprise Search and Context
Rovo Search combines Jira, Confluence, and other Atlassian data with connected third-party sources.
Atlassian says Rovo Search now reaches 50+ connected tools and can return AI-generated answers with citations rather than simply producing result lists. Atlassian also reported in August 2026 that Rovo Search had become approximately 60% faster over the preceding six months.
Existing source permissions are respected, including permissions inherited from connected third-party applications.
AI Agents and Workflow Automation
Rovo Agents can perform specialized work using Atlassian and connected context, while Rovo Studio lets organizations create agents, automations, and applications.
Atlassian has also invested heavily in MCP, allowing external AI systems and Rovo agents to interact more deeply with work stored in Jira and Confluence.
Administrative controls can restrict who creates agents, who can use them, and which tools they can access. Agents act using the permissions of the person invoking them.
Integrations and Ecosystem
Rovo’s strongest integration is naturally Atlassian itself.
Jira, Confluence, Bitbucket, Loom, and other Atlassian products feed the Teamwork Graph, while third-party connections extend the context into applications such as Google Drive, GitHub, SharePoint, Slack, and others.
Rovo Search currently supports more than 50 connected tools.
The result is particularly strong contextual depth for organizations where Jira and Confluence already contain a large percentage of decisions, work items, documentation, and project history.
Security and Deployment
Rovo synchronizes connected-source access controls and permission changes so employees should only receive information they are already authorized to access.
Atlassian states that Rovo has completed external assessments for SOC 2 and ISO 27001, supports data residency, and can be used in a HIPAA-compliant manner under the applicable implementation requirements.
Atlassian also states that customer data submitted to Rovo is not used to train or improve its AI models or third-party providers’ models.
Rovo is primarily a cloud platform, which should be considered by organizations with strict customer-hosted deployment requirements.
Evidence and Adoption
Atlassian publishes unusually large product-usage figures.
In February 2026, it reported that Rovo had passed 5 million monthly active users.
By May, Atlassian reported approximately 7x growth in agentic automations over six months, more than 14 million Rovo-assisted actions in the previous month, and use by 75% of Fortune 500 companies and more than 90% of Atlassian enterprise customers. These are Atlassian-reported metrics.
In July 2026, Atlassian reported more than 5 million Rovo MCP tool calls per working day, with over one million monthly MCP users.
Independent product-review evidence is currently much thinner. G2 had only a very small number of Rovo-specific reviews at the time of research and explicitly indicated that there were not yet enough reviews to provide meaningful buying insight.
Rovo vs. Glean
Choose Glean when: you need an application-neutral enterprise context and search layer across a broad SaaS environment.
Consider Rovo when: Jira and Confluence are already central to how your teams work and you want AI embedded directly into those workflows.
4. GoSearch
Best Fit: Search-Led Enterprise AI With Transparent Entry Pricing
Of the platforms in this comparison, GoSearch retains one of the clearest enterprise-search identities.
It combines company-wide search and generative answers with AI agents, workflows, and tasks.
Enterprise Search and Context
GoSearch currently advertises access to 100+ connectors.
Users can connect business applications, search company knowledge, receive AI-generated answers, and interact with the GoAI assistant.
GoSearch states that selecting connectors and initiating synchronization can take only minutes after workspace access is available.
This makes it conceptually closer to Glean than platforms that start primarily from automation or agent orchestration.
AI Agents and Workflow Automation
GoSearch has expanded its platform into AI agents and automated workflows.
Its Pro plan includes unlimited private agents, workflows, tasks, AI-generated answers, and conversations.
Agents can use connected company context to perform specialized tasks, while workflows can automate recurring or multi-step processes.
Integrations and Ecosystem
The company currently advertises 100+ connectors, and its architecture is expanding through MCP as well as native integrations.
This remains smaller than Glean’s stated 275+ native and MCP-based connector ecosystem, but is broad enough to cover a substantial multi-SaaS environment.
Security and Deployment
GoSearch is SOC 2 Type II certified and is hosted on AWS in its standard model.
Enterprise customers can bring their own LLM API keys and can also use their own AWS, Google Cloud, Azure, or other cloud environment.
Pro includes role-based access control, while Enterprise adds capabilities including shared connectors, workspace model configuration, SSO/SAML/SCIM, advanced permissions, and audit logging.
That BYO LLM and BYO Cloud capability can be relevant for enterprises that want greater model or infrastructure control.
Evidence and Adoption
GoSearch has a smaller public review footprint than Glean or Moveworks.
Its G2 product profile showed approximately 4.7/5 from 17 reviews in the dataset reviewed for this article.
Users commonly praise rapid retrieval, ease of connecting multiple internal sources, and centralized search.
The same review set also surfaces limitations worth considering: some reviewers mention setup or configuration complexity, interface learning curves, and requests for stronger filtering or customization.
With fewer than a few dozen public reviews, however, those patterns should not be treated as statistically representative of every deployment.
GoSearch vs. Glean
Choose Glean when: connector breadth, enterprise context maturity, and proven large-enterprise deployment are higher priorities.
Consider GoSearch when: you want a search-first architecture, agents and workflows, public entry pricing, and options to bring your own model or cloud environment.
5. Dust
Best Fit: Teams Building Collaborative AI Agents Around Company Knowledge
Dust approaches the enterprise AI problem from an agent-first perspective.
Instead of making a company-wide search interface the center of the product, Dust lets teams create and share specialized agents that can use company knowledge, tools, and shared context.
Enterprise Search and Context
Dust’s Connections can live-sync company information from services such as Notion, Google Drive, and Confluence and make that content available for semantic retrieval by agents.
Its newer Pods architecture adds shared files, conversations, tasks, and context around specific projects or initiatives.
This means Dust absolutely supports enterprise knowledge retrieval, but search is primarily one capability available to agents rather than the central product identity it is for Glean.
AI Agents and Workflow Automation
Agent collaboration is a major Dust differentiator.
Dust Pods support:
- Human-to-human collaboration
- Human-to-agent collaboration
- Agent-to-agent collaboration
Agents can share project context, take tasks, hand work to other agents, and participate in workflows alongside employees.
Dust has also been expanding write capabilities. For example, agents can now create and modify Google Docs, Sheets, and Slides rather than only retrieving information from Drive.
Its current platform supports schedules, triggers, tools, skills, MCP, APIs, and a growing range of model options.
Integrations and Ecosystem
Dust connects to common company knowledge systems including Slack, Google Drive, Notion, Confluence, and GitHub.
MCP has become an increasingly important part of the ecosystem, with Dust adding integrations and tools for applications such as Notion and other enterprise services.
This gives Dust considerable flexibility, although it does not market a connector count comparable to Glean’s 275+ figure.
Security and Deployment
Dust states that customer information is not used to train AI models and that data is encrypted both in transit and at rest.
Enterprise security capabilities include SSO/SCIM, fine-grained permissions, role-based controls, audit logs, and data residency options.
Its published compliance position includes SOC 2 Type II, GDPR compliance, and support for HIPAA-compliant deployments.
Dust is primarily a managed enterprise AI platform rather than a product centered around customer-managed isolated agent infrastructure.
Evidence and Adoption
Dust has one of the more useful published enterprise-adoption case studies among the platforms on this list.
Healthcare technology company Doctolib rolled Dust out across 3,000 employees.
Six months after company-wide deployment, Dust reports:
70% weekly usage
30% daily usage
45% of employees saying they would be very disappointed to lose access
20% of employees have built their own agents.
Those figures come from a Dust customer story rather than an independent controlled study, but they provide concrete evidence of a multi-thousand-user rollout.
Third-party review coverage is also developing. G2’s Dust seller page showed roughly 4.7/5 across 77 reviews at the time of research.
G2 reviewers frequently highlight usability, agent creation, collaboration, and integrations. Some also report data-preparation requirements, occasional limitations retrieving information from very large sources, or requests for additional integrations.
Dust vs. Glean
Choose Glean when: enterprise-wide search and a mature permission-aware company context layer are the primary requirements.
Consider Dust when: your priority is building, sharing, and coordinating customizable AI agents around company knowledge and workflows.
Which Glean Alternative Is Right for You?
There is no universal answer because these platforms optimize for different enterprise environments.
If your priority is governed AI agents, operational execution, and the Google enterprise stack, CommandLyne is worth putting high on the shortlist.
If the primary goal is employee support and self-service across IT, HR, finance, and other functions, Moveworks has significant enterprise deployment experience.
If work already revolves around Jira and Confluence, Atlassian Rovo can introduce AI without pulling users away from the systems where their context already lives.
If you want enterprise search plus clear entry-level pricing, GoSearch offers one of the most transparent commercial models in the group.
And if you want employees to build and share specialized AI agents, Dust offers a collaborative agent-first approach with documented large-scale adoption.
Frequently Asked Questions About Glean Alternatives
What is the closest alternative to Glean?
Moveworks and GoSearch are among the closest alternatives for enterprise search, AI assistants, and workflow automation. Rovo is also a strong option for Atlassian-centric organizations.
Is CommandLyne a Glean alternative?
Yes. CommandLyne is a relevant alternative for enterprises prioritizing governed AI agents, workflow orchestration, and controlled execution, especially across Google Workspace and Google Cloud.
What is the best Glean alternative for Google Workspace and Google Cloud?
CommandLyne is particularly suited to Google-centric enterprises, with integrations across Google Workspace, Google Cloud, Gemini, Chrome Enterprise, and related services.
Which Glean alternative has the most transparent pricing?
GoSearch has the clearest public pricing, with a free plan and Pro currently priced at $20 per user/month. Enterprise pricing is customized.
Which Glean alternative has the strongest third-party evidence?
Moveworks currently has one of the stronger independent evidence bases, including more than 100 G2 reviews and a commissioned Forrester Total Economic Impact study.
