The useful question is what each person can do with your company’s knowledge. Can they walk into a meeting prepared? Can their AI use relevant team context? And can they do both without exposing private information to colleagues? This comparison focuses on those buyer questions.
What follows is a design contrast, not an audit. Every statement about Glean below is a verbatim quote from Glean’s own documentation, linked to the page it came from. Nothing here is inferred from what a vendor does not say.
What Glean documents about permissions. *
On where the permission comes from, Glean’s core security principles state: “Glean mirrors the access controls of every connected source system. When a connector crawls content, it also ingests the permission model from that source (ACLs, group memberships, role assignments). At query time, Glean evaluates the signed-in user’s identity against those mirrored permissions before returning any results.”
The same page states that this applies to generated answers, not only to search results: “AI answers and citations: Glean generates responses only from content the querying user is authorized to access. Citations link to source documents that the user already has permission to open.” It states the converse case directly: “If a user can’t open a document in the source system, that document can’t be used as context, returned as a search result, or surfaced as a citation. Glean never grants broader access than the source system provides.”
Enforcement is claimed on the protocol surface too: “MCP servers: Results returned through the Model Context Protocol respect the authenticated user’s permissions.” And Glean’s end-user documentation describes the per-reader consequence plainly: “Glean respects the permissions set in your company’s connectors. If you have permission to view a document in Google Drive or a thread in a public Slack channel, it can appear in your results. If your coworker has different permissions, they might see different results.”
The agent-identity property, stated plainly.
One line in that document deserves to be called out rather than buried, because it is a strong property and not every design has it: “Agents and actions: Agents execute with the identity and permissions of the signed-in user who triggered the run, regardless of who created or published the agent.” An agent that inherits its author’s reach is a real hazard in this category. Glean documents that theirs does not. That is worth saying on a page that is otherwise about where we differ.
What Glean documents about unattended runs.
For work that happens without someone typing a question, Glean documents scheduled triggers: “Scheduled triggers allow users to automate and standardize business processes by enabling agents to perform actions in the background. Each user of an agent can specify when they want that agent to run, such as daily or weekly.” Their security guidance for that mode states: “Scheduled triggers agents run on a schedule without user manually initiating or approving each execution.”
Glean also names the control model for unattended runs itself: “Since schedule triggers fire and execute the agent end-to-end with no per-run confirmation, security control shifts left to governance: who may create and publish agents, how inputs are constrained, and which tools can run without user confirmation.” And it documents a fail-to-notify behaviour rather than a silent skip: “If a background run reaches a tool that still requires user confirmation, Glean emails the subscriber instead of silently skipping that step.”
A second runtime control plane is documented as well. Glean labels the page “Beta: This feature is in beta and may change.”, so read the rest with that caveat attached: “Agent access policies allow security administrators to control what data agents can read and what actions they can execute at runtime.” Glean is explicit that this sits alongside, rather than instead of, source permissions: “Agent access policies do not replace existing source permissions or Role-Based Access Control (RBAC). Instead, they establish a secondary control plane that evaluates live runtime behavior including the active tool, the invoking user, the agent in scope, input arguments, and returned payloads.”
Team knowledge that arrives before you ask.
WonderForce connects updates across your team’s email, meetings and documents, then prepares each person for the work ahead. A customer success colleague gets the context for a renewal. A teammate gets the updates that matter to their own work. Private information stays with the people allowed to see it.
For example, a shared account update can help everyone preparing for a customer call, while a private acquisition discussion stays private. Connecting your AI through MCP gives you the company knowledge you’re missing without opening your private information to teammates.
The difference to evaluate is practical: does the product bring useful context before a meeting, tailor it to each person, and respect private information across briefs, answers and connected agents? Compare those outcomes using your own workflows.
Learn more about proactive company knowledge and permission-aware AI retrieval.
What to compare for your team.
Every cell in the Glean column is a verbatim quote from the linked page
| Design question | Glean, as documented | WonderForce |
|---|---|---|
| Private information | “Glean mirrors the access controls of every connected source system.” | Private information stays with the people allowed to see it. |
| Source access | “it also ingests the permission model from that source (ACLs, group memberships, role assignments)” | Connecting your sources does not open private information to colleagues. |
| Briefs and answers | “At query time, Glean evaluates the signed-in user’s identity against those mirrored permissions before returning any results.” | Personalized context before you ask, with private information protected. |
| Combining team knowledge | “Glean generates responses only from content the querying user is authorized to access.” | Useful connections across team knowledge, without exposing restricted details. |
What to check for yourself, with any vendor.
These questions are not about one product. Ask them of anything that answers from your company’s data, and ask for the documentation page rather than the sales answer.
- Try the same question as two teammates.Use shared account updates and one private document. Check that each person gets useful context without restricted details.
- Try a brief that arrives before a meeting.Evaluate whether the preparation saves work and suggests useful questions.
- Connect an AI agent.Check whether colleagues can access private information through a shared assistant.
- Change a source permission.Ask how quickly that change affects answers, scheduled work and remembered information.
Questions people ask when comparing these two.
How does Glean handle permissions?
Glean’s security documentation states that Glean “mirrors the access controls of every connected source system” and that “at query time, Glean evaluates the signed-in user’s identity against those mirrored permissions before returning any results”. The same page states that this extends to generated output: “AI answers and citations: Glean generates responses only from content the querying user is authorized to access.”
Can a Glean answer surface something the person asking cannot open?
Glean’s documentation states the opposite: “If a user can’t open a document in the source system, that document can’t be used as context, returned as a search result, or surfaced as a citation. Glean never grants broader access than the source system provides”. We have no primary-source evidence to the contrary, and this page does not suggest otherwise.
What should I evaluate when comparing WonderForce and Glean?
Evaluate proactive meeting preparation, useful connections across team knowledge, and privacy for each person. WonderForce is designed to bring that context before you ask. Glean documents permission-aware answers and scheduled agents; compare the experience on the work your team actually does.
How does Glean deliver work that runs on a schedule?
Glean documents scheduled triggers, where a person sets up an agent and chooses its cadence: “Each user of an agent can specify when they want that agent to run, such as daily or weekly”. Glean’s security guidance adds that such agents “run on a schedule without user manually initiating or approving each execution,” and describes the control model for that as governance over who may create and publish agents and which tools can run without confirmation.
Do agents get more access than the person using them?
Not in either design described here: Glean documents that an agent runs with the triggering user’s identity, and a WonderForce agent reads only what its principal may read. Glean’s wording is that agents “execute with the identity and permissions of the signed-in user who triggered the run, regardless of who created or published the agent”; an agent connected to WonderForce over the Model Context Protocol reads exactly what its principal may read and never more.
When does the difference matter for my team?
It matters when preparation takes too much manual work, useful context sits with teammates, or sensitive information makes company-wide AI adoption difficult. Test both products with shared and private sources, a real meeting workflow, and a connected agent.
Less catching up.
More getting ahead.
Better meeting prep. Better answers.
The context you need, before you have to ask.
* Every quotation on this page is verbatim from Glean’s own public documentation, retrieved 23 August 2026. Sources: Core security principles · How Glean accesses information · Schedule triggers · Security Best Practices for Scheduled Triggers Agents · About agent access policies. Vendor documentation changes; the links are there so anything here can be re-checked at the source.