To secure a metaverse meeting, protect the host account, admit only verified guests, limit what participants can do, and treat recordings, transcripts and avatar identity data as sensitive information. Encryption helps, but it does not prevent impersonation, unwanted entry or harassment on its own. Use this seven-step checklist before and during each meeting.
1. How should you secure the host and administrator account?
Start with the accounts that can create meetings, change security settings or access recordings. If an attacker takes over a host or administrator account, a lobby and guest passcode may not be enough to protect the meeting.
- Use a strong, unique password and turn on multifactor authentication (MFA) or a passkey.
- For sensitive meetings, consider a FIDO2 hardware security key as a second factor. Google Meet lists security keys among its supported 2-Step Verification options.
- Keep administrative access limited to people who need it, and secure each administrator account separately.
NIST recommends one-time PINs or meeting identifiers and MFA for sensitive meetings. IEEE 3812.1-2023 sets out a metaverse identity framework that includes authentication programs and operational procedures.
2. How do you stop strangers joining?
Make admission intentional. A meeting link is a means of entry, not proof that the person using it is the intended guest.
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- Send a unique invitation to each intended attendee; do not post meeting links or passwords publicly.
- Require guests to sign in or use invited-user access where the platform supports it. If unauthenticated guests must join, protect entry with a passcode.
- Enable a lobby or waiting room, then verify entrants before admitting them. Use an attendee list that lets the host check names or other known identifiers.
- After the expected participants have joined, lock the meeting if the platform provides that control.
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3. What encryption and privacy controls should you check?
Encryption protects communications or stored content against some forms of access, but it does not tell you what information a service collects, how long it keeps it, or who can view it. Review both technical protection and data handling before choosing a platform for sensitive work.
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- Check whether communication is encrypted in transit and whether recordings are encrypted at rest. Where offered and appropriate, look for client-side or end-to-end encryption, and understand what features may be unavailable when it is enabled.
- Find out what the service collects, where data is stored, which people or systems can access it, how long it is retained and whether it is used for advertising.
- Check whether the platform lets an organization manage these settings centrally rather than relying on each host to configure them correctly.
Google says Meet encrypts data in transit and recordings at rest. That statement describes those protections; it is not a claim that every Meet feature is end-to-end encrypted. ENISA recommends reviewing encryption, algorithms, data location and retention.
4. What should participants be allowed to do?
Give people only the meeting permissions they need. A participant who can share a screen, send files or use chat has more ways to disrupt a session than someone who can only listen and speak.
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- Restrict screen sharing, file sharing and chat to the host, moderators or approved participants when the agenda does not require wider access.
- Keep the attendee list visible to the host or moderator. Mute or remove disruptive participants, and lock the meeting once the intended group is present.
- Do not begin a sensitive meeting before the host arrives. NIST advises: “Use a ‘green room’ or ‘waiting room’ and don’t allow the meeting to begin until the host joins.”
Check that host controls work in the actual meeting format you plan to use. Google documents host controls for muting and removing participants.
5. How should you handle recordings, transcripts and AI attendees?
Recording, transcription and automated meeting assistants turn spoken conversation and, potentially, other meeting content into retained data. Treat each capture method as a deliberate data-processing choice, not as a harmless convenience.
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- Disable recording and transcription unless there is a clear need. Tell attendees when capture is active and what it covers.
- Restrict access to the resulting files, protect stored recordings, set a retention deadline and delete copies when their purpose ends.
- Check whether an AI attendee records, transcribes or analyses content, who receives its output and where that output is stored. The NCSC warns: “Be aware of AI attendees – these tools may record, transcribe, or analyse meeting content.”
ENISA recommends examining privacy policies, storage location and retention periods. Apply those checks to transcripts and AI-generated notes as well as video or audio files.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.6. How can you prepare for impersonation, harassment or other abuse?
Security settings cannot resolve every problem in a shared virtual space. Decide in advance who will moderate and how attendees can get help if someone impersonates a participant, harasses others, doxes them or posts illegal content.
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- Publish a short code of conduct that explains acceptable behaviour and consequences.
- Assign a moderator who can respond while the host continues the meeting. Provide a visible way to report a problem.
- Set an escalation plan for serious incidents, including who can remove a participant and who should preserve or restrict access to relevant evidence.
- Consider how avatar names and appearances may mislead people. Do not treat a familiar-looking avatar alone as reliable proof of identity.
UAE metaverse guidance identifies online harm, user safety, content moderation, identity theft and fraud as governance concerns. The World Economic Forum’s 2023 report on privacy and safety in the metaverse emphasizes privacy, responsible data handling and inclusive design.
7. How do you choose a platform and prepare for an incident?
Evaluate a service against the meeting’s risk and the organization’s ability to manage it. Strong controls are less useful if no one knows who owns the settings, meeting data or response when something goes wrong.
| What to compare | Questions to ask |
|---|---|
| Identity assurance | Does it support MFA, passkeys, security keys or single sign-on (SSO)? |
| Admission | Can hosts use invitations, passcodes, a lobby, participant verification and a meeting lock? |
| Cryptography | What is encrypted in transit and at rest? Is client-side or end-to-end encryption available for the features you need? |
| Administrative control | Can administrators set policies centrally and restrict screen sharing or recording? |
| Privacy governance | Can you determine data location, access, retention, advertising use and deletion options? |
| Moderation | Can hosts mute, remove and report participants, and review relevant activity? |
| Metaverse-specific protections | What provisions exist for avatar identity, age assurance, anti-impersonation and safety by design? |
Before relying on a platform, keep its client updated, obtain it from an official download source, document who can access meeting data and decide what to do after an account takeover or leaked recording. ENISA and the NCSC describe platform selection and maintenance principles that include strong authentication, encrypted communications and controls against call restriction failures or eavesdropping. ITU work on metaverse ecosystems also addresses age verification, privacy-preserving identity, trust frameworks and anti-impersonation measures.
The World Economic Forum’s 2023 privacy and safety report quoted an expectation of “$1 trillion in the next three years” for the metaverse. That is a forecast in that report, not a current measured market size, and it is not a measure of meeting security.
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