Julian Kusenberg IT Beratung

Microsoft Purview · Compliance · AI Governance

Microsoft Purview · Compliance · Data Security

Restricted Content Discovery Hid the File. The Agent Took Another Route.

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Together with Tomislav Karafilov, I hid a SharePoint site from search and Copilot with Restricted Content Discovery. SharePoint search, Copilot Chat and Copilot Search found nothing. A Copilot Studio agent didn’t find anything with…

Copilot Governance · SharePoint Advanced Management

Restricted Content Discovery Hid the File. The Agent Took Another Route.

Tomislav Karafilov and I hid a SharePoint site from search and Copilot with Restricted Content Discovery. Search found nothing. Copilot found nothing. A Copilot Studio agent found nothing either, until it stopped searching and started listing files.

Together with Tomislav Karafilov, I recently put SharePoint Restricted Content Discovery through a small but very deliberate test. The question behind it was simple: if a site is hidden from organization-wide search and Microsoft 365 Copilot, what does an autonomous agent in Copilot Studio do when its search tools come back empty? It turns out the answer is not „give up“.

TL;DR, the short version

Restricted Content Discovery behaved as Microsoft documents. Org-wide SharePoint search, search from another site, Microsoft 365 Copilot Chat and Copilot Search found nothing. Site-scoped search still did, which is documented behavior and strongly suggests the file was indexed.

An agent on the GitHub Copilot harness in Copilot Studio also got count: 0 from its lexical and semantic search. Then it enumerated the site’s files with Filter SharePoint Files by Metadata, found the document, analyzed it and answered with a summary of its content and citations.

We observed no evidence of a permission bypass; the tests used an account with access to the files. RCD controls discovery, not access. And an agent can have more than one way to discover.

This post walks through what we tested, what the screenshots show, what Microsoft documents, and what we still don’t know. We saw no evidence of an ACL bypass, and I won’t pretend otherwise. But there is a very real lesson about what a discoverability control can and can’t do once agents start choosing their own tools.

01 The control

What Restricted Content Discovery is supposed to do

RCD is a site-level setting that comes with SharePoint Advanced Management. According to Microsoft’s documentation, it limits discovery of content from specific sites, including recently interacted files, in organization-wide search results and Microsoft Copilot responses. It also removes AI entry points on the site itself, such as the Copilot button, the AI actions menu and creating agents.

Just as important is what RCD does not do. Microsoft is explicit about this:

  • It does not change permissions. Users who already have access can continue to open that content directly.
  • It does not remove content from the Microsoft 365 search index. eDiscovery and auto-labeling keep working.
  • It does not affect searches that originate from the site context, or experiences like the Microsoft 365 Feed and Recommendations.
  • It does not affect experiences that operate on content the user already has in use, such as summarizing an open document.

Microsoft positions RCD as a temporary governance control: you hide sites that need a permissions review while your Copilot rollout continues, and you remove the flag once the site is cleaned up. In other words, RCD is a discoverability control, not an authorization boundary. Keep that sentence in mind, because everything that follows depends on it.

For completeness, this is the PowerShell equivalent of the admin center setting. Note that the label in the documentation („Restrict content from Microsoft Copilot“) differs from what our tenant showed („Restrict content discovery“); the underlying site property is the same.

Set-SPOSite -Identity <site-url> -RestrictContentOrgWideSearch $true

Get-SPOSite -Identity <site-url> | Select RestrictContentOrgWideSearch

02 The setup

Setting up the experiment

Tomislav set up a dedicated communication site called „Site with restrict content discovery on“. RCD is enabled for it in the SharePoint admin center (Figure 1). The admin center screenshot has no timestamp, but the Restricted tag in Figure 2 shows the setting was active on the site during the tests.

SharePoint admin center, Settings tab of the test site, with Restrict content discovery set to On, Changes saved confirmation and Sensitivity label set to None.
Figure 1: Restricted Content Discovery set to On for the test site in the SharePoint admin center (1), confirmed by „Changes saved“ (2). No sensitivity label on the site.

The site contains two Word documents, both created with Copilot in Word:

  • Gandalf sagt_Du kannst diese Datei nicht sehen.docx (German for „Gandalf says: You can’t see this file“), a short text about Gandalf from The Lord of the Rings.
  • Restricted Content Discovery for SharePoint Sites.docx, a summary of the feature itself.

Neither file had a sensitivity label, encryption or any other document-level protection. The site header shows the Restricted tag that Microsoft documents for sites covered by RCD (Figure 2).

Document library of the test site showing the Restricted tag in the site header and the two Word files authored by Tomislav Karafilov.
Figure 2: The site shows the Restricted tag that Microsoft documents for RCD sites (1). The library contains the two test documents (2), without sensitivity labels.

The search term for every test was Gandalf: distinctive, unmistakable, and present in both the file name and the body. The screenshots show every search and agent test running under Tomislav’s account (his name or his initials TK appear in each experience), and the document library lists him as the last editor of both files. So access was never in question. Discovery was.

A note on dates: the tests were run in October 2026, and this post was published in November 2026. The agent’s answer gives 21 October 2026, 19:47 UTC as the Gandalf file’s last edit, and the document library and site search screenshots show the file as modified about 30 minutes earlier, so they were taken around half an hour after that edit. The other screenshots carry no timestamp of their own. The agent test must have run after that edit, because it reports it. For the remaining screenshots, the evidence itself doesn’t pin down the exact time; they belong to the same test series.

03 Test one

Organization-wide search from the SharePoint start page returned nothing (Figure 3). The same query, started from a different site in the tenant with the default „All“ scope, also returned nothing (Figure 4).

Organization-wide SharePoint search for gandalf returning the message We couldn't find any results for gandalf. Tenant name redacted.
Figure 3: Organization-wide SharePoint search (1) finds nothing for „gandalf“ (2). Empty page area removed, marked by the dashed line.
SharePoint search for gandalf started from a different site returning no results. Tenant name redacted.
Figure 4: The same query started from another site in the tenant (1) also returns no results (2).

Searching from within the restricted site itself found the document immediately, including highlighted hits in the body (Figure 5).

Search for gandalf inside the restricted site, scoped to Organization > Site with restrict content discovery on, returning the Gandalf document with highlighted hits.
Figure 5: Searching from within the restricted site (1, 2) finds the document immediately, including highlighted hits in the body (3).

That is not a bug. Microsoft documents that searches originating from the site context are not affected by RCD. For our experiment, this result matters for two reasons. First, it strongly supports that the document was indexed and searchable, so the empty results elsewhere are unlikely to be an indexing delay. It does not tell us how Microsoft’s index and query layers work internally. Second, it shows that RCD is applied per discovery experience, not as a property of the file. The same document is invisible in one search box and visible in the next one. Remember that when we get to the agent.

04 Test two

Second test: Microsoft 365 Copilot

In Microsoft 365 Copilot Chat (Work IQ mode, web search disabled), Tomislav asked in German for a file about Gandalf. Copilot reported that it had searched his files and found no hits, and suggested alternative search terms (Figure 6).

Microsoft 365 Copilot Chat in Work IQ mode with the prompt Finde eine Datei über Gandalf and the answer that no hits were found.
Figure 6: Microsoft 365 Copilot Chat (Work IQ, web search disabled). Prompt „Find a file about Gandalf“ (1), answer: searched your files, no hits (2).

Copilot Search gave the same picture: zero results across all sources (Figure 7).

Microsoft 365 Copilot Search with the query Suche eine Datei über Gandalf showing zero results in all sources.
Figure 7: Copilot Search (1) shows 0 results across all sources (2) and states that nothing was found for „Gandalf“ (3).

At this point the Microsoft documentation contradicts itself, and I don’t want to paper over it. The RCD page says the restriction includes recently interacted files. The Copilot Search admin page says RCD sites stay out of results „unless a user owns or has recently interacted“ with their content. In our test, Tomislav had interacted with the file: the library lists him as its last editor. Copilot Chat and Copilot Search still returned nothing, which matches the RCD page. Which wording reflects the intended behavior across all experiences is something only Microsoft can clarify.

05 Test three

Third test: an agent on the GitHub Copilot harness

The GitHub Copilot harness became generally available in Copilot Studio in August 2026. Microsoft describes it as the harness for reasoning-heavy, multi-step work: it takes a goal, breaks it into steps, calls tools across connectors, knowledge, MCP and connected agents, and adjusts when a step fails. Despite the name, it is a Copilot Studio orchestration framework and not the GitHub Copilot service. The part that matters here is the adjusting. The orchestrator, not the maker, decides the next best action.

The agent was a draft (marked as such in Copilot Studio) named „Restricted content discovery A“ on this harness, with the RCD site as its knowledge source. It was tested in the Copilot Studio test pane under Tomislav’s account with a plain prompt: what can you find about Gandalf? The prompt said nothing about metadata or file listings.

Step 1: lexical search

The agent’s first call was sharepoint_lexical_search with the query „Gandalf“. The tool description shown in the trace says it searches SharePoint files „within the agent’s configured knowledge paths“, and it lists the restricted site as the available source. Result: count: 0 (Figure 8).

Copilot Studio test pane: the agent calls sharepoint_lexical_search with query Gandalf, scoped to the restricted site as knowledge source, and receives count 0.
Figure 8: The agent’s first call, sharepoint_lexical_search (1), with query „Gandalf“ (2). The tool is scoped to the RCD site as knowledge source. Result: count 0 (3).

Step 2: semantic search

Next, the agent called sharepoint_semantic_search with the same query. Result: count: 0 (Figure 9).

Copilot Studio test pane: the agent calls sharepoint_semantic_search with query Gandalf and receives count 0.
Figure 9: The parallel semantic search (1) with the same query (2) also returns count 0 (3).

This is already interesting on its own. Both tools are scoped to the site, yet they returned nothing, while SharePoint’s own site-scoped search found the file. In this respect the agent’s knowledge search behaved like a Copilot discovery experience, not like a search from the site context. That is consistent with what RCD promises.

Step 3: retries with variations

The agent’s visible reasoning then reads: „No results yet, so I should try variations like ‚Gandalf the Grey‘, ‚Mithrandir‘, or ‚wizard‘ instead.“ A second round of lexical and semantic search followed. We did not capture the inputs and outputs of this second round individually. That it found nothing is our inference from what happened next: the agent moved on to a different tool, and its final answer states that the normal searches returned no results.

Step 4: the metadata tool

Then the agent called a tool named Filter SharePoint Files by Metadata. Its description in the trace is very clear about what it is for: finding SharePoint files by who authored or edited them, when they were modified, file type, folder or custom columns, and doing so without searching file contents. It returns a list of matching files with name and URL plus a match count.

The input the agent chose was modifiedAfter: 2000-01-01. That is not a search for Gandalf at all. It is the equivalent of „show me every file in this site that was modified this millennium“. The output contained the URL of the Gandalf document (Figure 10).

Tool sequence of the agent: two search rounds, a reasoning step to try variations, then the tool Filter SharePoint Files by Metadata with input modifiedAfter 2000-01-01 returning the URL of the Gandalf document. Tenant redacted.
Figure 10: First search round (1), reasoning step (2), second search round (3). Then the agent calls „Filter SharePoint Files by Metadata“ (4) with modifiedAfter: 2000-01-01 (5). The output contains the URL of the Gandalf document (6). Tenant name redacted.

Step 5: the answer

The trace continues with „Ran 2 events in parallel“ and „Used skill: analyzing-docx“. So a document analysis step clearly happened. What the trace does not show is how the file content was fetched for it. The final answer names the document, its author and its last edit time, summarizes the content in five bullet points about Gandalf, the Istari and the Fellowship of the Ring, and cites both documents (Figure 11). It even explains why search found nothing, using the second document about RCD as its source.

Final agent response summarizing the content of the Gandalf document, with the agent's reasoning line about RCD and citations to both documents.
Figure 11: After a parallel step (1) and the analyzing-docx skill (2), the agent notes that the regular search missed the file but the metadata filter caught it (3). The answer summarizes the document content (4) and cites both files (5).

The agent’s own reasoning line says: „Interesting that the regular search missed this due to the RCD, but the metadata filter caught it.“ Nice, but I want to be careful with it. That sentence is the model’s interpretation, written after it had just read a document explaining RCD. It is not evidence of the cause. It happens to match our own hypothesis, which is a different thing.

The central finding

  1. Lexical search→ 0 results
  2. Semantic search→ 0 results
  3. Metadata enumeration→ Document found
  4. Subsequent document analysis→ Content summarized

Same agent, same turn, same account. Evidence in Figures 8 to 11. The retrieval mechanism behind step 4 is not visible in the trace.

Why this matters for agent governance: a search control filters what a query can find. An agent is not a query. It is a planner with a tool belt, and when one tool comes back empty, it reaches for the next one. Nothing in this sequence needed more access than the user already had. It only needed a different way of asking. That is why every retrieval tool an agent has is its own discovery path, and deserves its own governance decision.

06 The results

Results at a glance

ExperienceObserved resultFigure
SharePoint organization-wide searchNo result3
SharePoint search from another siteNo result4
SharePoint search within the restricted siteDocument found5
Microsoft 365 Copilot ChatNo result6
Microsoft 365 Copilot SearchNo result7
Copilot Studio, GitHub Copilot harness: lexical searchNo result (count 0)8, 10
Copilot Studio, GitHub Copilot harness: semantic searchNo result (count 0)9, 10
Copilot Studio, GitHub Copilot harness: metadata enumeration (Filter SharePoint Files by Metadata)Document found10
Subsequent document analysis and final responseDocument content summarized and cited11
Observed results per experience. Same account, same search term, same RCD-enabled site.

The highlighted rows are the agent path from Figures 8 to 11. Everything above them is RCD doing exactly what it says on the tin.

07 The analysis

What actually happened?

Figure 12 sketches the two paths we observed. It is deliberately simple and conceptual: it shows the order of tool calls in our trace, not how Microsoft built the product.

Conceptual diagram: Path A, agent to lexical and semantic search tools, count 0. Path B, agent to Filter SharePoint Files by Metadata, file reference, further steps, final answer with content and citations.
Figure 12: Conceptual illustration of the two paths we observed. This is not a representation of Microsoft’s internal architecture.

It helps to separate the layers, because they are easy to blur:

  • Search-based discovery. Judging by their names and descriptions, the lexical and semantic tools are search-based. Observed result: zero hits, consistent with RCD filtering. The filtering itself is not visible to us.
  • Metadata enumeration. The metadata tool lists files by their properties and, according to its own description, does not search file contents. Observed result: the restricted file was returned. Whether it queries the search index with different filtering, lists the library, or does something else is not visible in the trace. I don’t claim a specific API, and I don’t claim it bypasses the index.
  • Document analysis. After enumeration, the trace shows a parallel step and the analyzing-docx skill, and the answer contains document content. That the agent analyzed the document is observed.
  • Content retrieval. How the file content was fetched for that analysis is not verified. Opening the file via its URL under the signed-in user’s permissions would be plausible, but it remains an assumption.
  • SharePoint authorization. We observed no evidence of a permission bypass. The tests were performed using an account with access to the files. Everything the agent returned, Tomislav could have opened in SharePoint himself.
  • Agent tool orchestration. The harness picked the alternative tool on its own after search came back empty. The prompt didn’t ask for it.

And these are the things we have not established yet:

  • Whether this is an intentional design decision (RCD scoped to search and Copilot discovery, with enumeration treated like direct access), an implementation gap, or something specific to the test pane. The observation alone can’t tell these apart.
  • The exact mechanism that retrieved the file content for the answer.
  • Whether a standard harness agent, or a published agent used in Teams or Microsoft 365 Copilot, behaves the same as the draft agent in the test pane.
  • Whether the timing matters. Microsoft documents for SharePoint agents that RCD prevents adding a flagged site’s content to agents. We have not verified how that applies to a Copilot Studio knowledge source.
  • Reproducibility at scale. This was one tenant, one site, two documents and a handful of runs. A control run against a site without RCD would also sharpen the comparison.

08 The verdict

Is this a security vulnerability?

Not in the classic sense, and I want to be precise here. We observed no evidence of a permission bypass. The tests were performed using an account with access to the files, and the agent acted on behalf of that user. Microsoft’s RCD documentation explicitly says that users who have access can continue to access content directly, and listing a library and opening a file is close to what direct access looks like.

But „not a vulnerability“ is not the same as „not a problem“. Think about why organizations turn on RCD in the first place. A typical case: an HR or finance site that is shared with „Everyone except external users“, discovered during a Copilot readiness review. The fix (cleaning up permissions) takes weeks, so the site gets the RCD flag to keep it out of Copilot in the meantime. Everyone in the tenant still has access. An agent that can enumerate that site by metadata, on behalf of any of those users, could surface exactly the content RCD was meant to keep quiet. That last step is an extrapolation from our single-account test, not something we tested with a broad group.

Microsoft’s documentation says RCD limits discovery in „Microsoft Copilot responses“. From an end user’s point of view, the answer of a Copilot Studio agent looks like a Copilot response. Whether this route is meant to be in scope is a product design question that only Microsoft can answer. What we can say is narrower: the observed behavior and a reasonable admin expectation don’t line up.

RCD takes the site out of the directory. It doesn’t lock the doors. An agent that walks down the corridor and reads the door signs can still open every door it has a key for.

09 The lessons

What organizations should learn from this

First, a vocabulary check. These controls are often mentioned in one breath, but they are not interchangeable:

ControlWhat it governsWhat it does not do
Restricted Content DiscoveryDiscovery: whether site content appears in organization-wide search and Copilot experiences.Change permissions or remove content from the index. In our test it did not stop metadata enumeration by an agent tool.
Restricted Access ControlAdditional site-access restriction: only members of specified groups can access the site, also in search and Copilot.Grant access by itself. Users need both permissions and group membership.
SharePoint permissionsAuthorization: who can open which site, library or file.Control discoverability for people who already have access.
Sensitivity labels with encryptionDocument-level protection that travels with the file and its usage rights.Guarantee identical behavior in every agent workflow. Microsoft documents that SharePoint knowledge in Copilot Studio can’t ground on encrypted files, but each tool and harness deserves its own test.
Agent tool governanceWhich retrieval capabilities an agent has: search, metadata filtering, file reading.Replace any of the above. It limits paths, not rights.
Five controls, five different jobs. Combine them; don’t substitute one for another.
  • Fix permissions, don’t just hide them. RCD buys time for a review. It does not replace it. Use Data Access Governance reports to find and remove broad grants like „Everyone except external users“.
  • For sites that must stay dark, use an access control. Restricted Access Control limits who can access a site at all and is honored by search and Copilot. RCD only limits where content shows up for people who already have access.
  • Use encryption where you need document-level protection, then test it. Labels with encryption travel with the file, but agent behavior depends on the tool and the harness. Verify with labeled test files instead of assuming every agent workflow behaves the same.
  • Govern agent tools, not just agents. „SharePoint as knowledge“ is not one capability. In our test it meant at least three tools with different behavior. Where the platform lets you choose, decide deliberately which retrieval tools an agent gets. Where it doesn’t, know what comes bundled with a knowledge source, and read the tool trace in the test pane.
  • Test identity and authorization boundaries. Run the same prompt as a maker, as a regular member and as a user without access, in the test pane and in the published channel.
  • Monitor file access and agent activity. Check which file access events and agent interaction records Microsoft Purview Audit actually captures for agent runs in your tenant, before you rely on them in an investigation.
  • Communicate RCD for what it is: a temporary visibility filter for search and Copilot discovery experiences, not an information access restriction.

10 The bottom line

Conclusion

Restricted Content Discovery did what it promises in every search and Copilot experience we tested. SharePoint org-wide search, Copilot Chat and Copilot Search stayed quiet, and even the agent’s own lexical and semantic search returned zero results. The interesting part started when the agent stopped searching and started listing.

Restricted Content Discovery can limit where content appears. It does not necessarily limit every route an autonomous agent can take to reach content it is already authorized to access. If your Copilot readiness plan relies on RCD for sites with broken permissions, that plan should include fixing those permissions, and testing your agents the way they will actually behave.

Thanks to Tomislav for building the test environment and running the experiment with me. If you have seen different behavior in your tenant, with another harness or with a published agent, I’d genuinely like to hear about it.


Sources: Restrict discovery of SharePoint sites and content · Harnesses in Copilot Studio · Introducing the GitHub Copilot harness in Copilot Studio · Manage Microsoft Copilot Search · Restricted Access Control · Manage access to agents in SharePoint. Observations based on tests in our own Microsoft 365 tenant, October 2026.

Autor

  • Julian Kusenberg

    Julian Kusenberg ist Senior Consultant bei SoftwareOne und unterstützt Unternehmen bei der Implementierung von Microsoft Purview, insbesondere in den Bereichen Information Governance, Datenschutz und Insider Risk Management. Mit langjähriger Erfahrung in der Umsetzung von Compliance- und Datenschutzlösungen hilft er Organisationen, regulatorische Anforderungen in Microsoft-365-Umgebungen effizient zu erfüllen. Seine Expertise umfasst komplex eDiscovery- und Forensikprojekte, bei denen er technisches Know-how mit strategischer Beratung kombiniert.

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About Julian

Microsoft MVP für Purview, Senior Consultant bei SoftwareOne und Speaker rund um Microsoft 365 Compliance, eDiscovery, Insider Risk Management, Data Security und AI Governance.


Topics

  • Microsoft Purview
  • eDiscovery
  • Insider Risk Management
  • DLP und Data Security
  • Copilot und AI Governance