The Person on Your Microsoft Teams Call May Not Be Who You Think
Artificial intelligence is making it increasingly difficult to distinguish a real colleague from a convincing digital impersonation. Now Microsoft is introducing new security protections designed to help businesses recognize deepfake audio, manipulated video, and suspicious identities during Microsoft Teams meetings.
Imagine joining a Microsoft Teams meeting with your company’s chief financial officer.
You recognize their face. You recognize their voice. They know the names of your colleagues, understand the project you’re working on, and appear to be speaking from their usual office.
Everything seems normal.
Then they ask you to authorize an urgent payment to a new bank account.
There’s just one problem.
The person you’re looking at might not be your chief financial officer at all.
With today’s artificial intelligence technology, cybercriminals can create remarkably convincing imitations of real people, including their voices and facial appearances.
These synthetic impersonations, commonly known as deepfakes, are becoming an important cybersecurity concern for organizations that depend on video conferencing and online collaboration.
Microsoft is preparing to address this threat with two new security capabilities for Microsoft Teams, both currently scheduled for general availability in November 2026.
Microsoft Teams Is Getting New Deepfake Detection Capabilities
According to an October 8, 2026, report from BleepingComputer, Microsoft is developing new Teams integrations that will allow supported third-party security providers to detect potentially manipulated audio and video during meetings.
The feature is listed on the Microsoft 365 Roadmap as Third-party synthetic audio and video detection in Microsoft Teams.
Here’s how the technology is intended to work.
Approved third-party detection systems will examine meeting audio and video for indicators that content has been artificially generated or manipulated.
When a supported detection system identifies suspicious activity, it can send a signal to Microsoft Teams.
Teams can then present that information through integrated meeting security experiences, helping participants recognize possible manipulation and respond appropriately.
There is an important distinction here: Microsoft Teams itself will not necessarily perform the deepfake analysis.
The actual detection will be handled by supported third-party providers. Microsoft is building the integration that allows Teams to receive and present their findings.
For organizations, this means the availability and effectiveness of deepfake detection may depend on the security solutions they use and the specific integrations Microsoft supports.
The feature is currently planned for Teams on Windows desktops, Mac computers, and the web.
Microsoft Is Also Introducing Impersonation Protection
The second security improvement focuses on identifying suspicious meeting participants and organizers.
Microsoft’s upcoming Impersonation Protection for Teams Meetings feature is designed to recognize potential attempts to misrepresent someone’s identity.
When Teams identifies a possible impersonation attempt, it can display warnings and risk indicators to help users make informed decisions about participating in the meeting.
For example, someone might join a meeting using a display name designed to resemble a company executive, trusted vendor, or existing employee.
Another attacker might create a meeting invitation that appears to come from a familiar business contact.
These attacks don’t necessarily require sophisticated AI-generated video. Sometimes a convincing name, profile photograph, or invitation is enough to fool an unsuspecting employee.
Microsoft’s impersonation protection is intended to help users recognize these warning signs before placing too much trust in an unfamiliar participant.
The feature is currently listed for Teams on Android, iOS, Windows desktops, and Mac computers.
How Dangerous Are Deepfake Video Calls?
For many business owners, the idea of someone digitally impersonating an employee during a video conference might sound like something from a science fiction movie.
Unfortunately, the underlying technology is already real.
AI-powered voice cloning can imitate aspects of a person’s speech using previously recorded audio.
AI-generated and manipulated video can produce convincing facial appearances and movements, while other tools can alter or replace visual information during a conversation.
The results vary in quality, but the technology creates opportunities for criminals to exploit one of the most important foundations of business communication: trust.
Consider some potential scenarios.
1. The Fake CEO Demanding an Emergency Payment
An employee receives a Teams invitation that appears to come from the company president.
During the meeting, the supposed executive explains that an important acquisition or vendor payment must be completed immediately.
The employee recognizes the voice and appearance of the executive and assumes the instruction is legitimate.
Under pressure, the employee authorizes a transfer without following the company’s normal verification procedures.
The attacker disappears, leaving the company to discover that the payment was fraudulent.
2. The IT Support Impersonation
An employee receives a Teams call from someone claiming to work in the company’s IT department or from Microsoft technical support.
The caller explains that a security problem requires immediate attention.
They may ask the employee to share their screen, provide a verification code, approve a sign-in request, or install remote access software.
The attacker could use a familiar-looking profile and convincing conversation to make the interaction appear legitimate.
If the employee complies, the criminal may gain access to business systems or sensitive information.
3. The Fake Business Partner
A criminal impersonates a supplier, accountant, attorney, or other trusted business contact.
During a seemingly legitimate meeting, the impersonator explains that the organization’s banking information has changed.
The employee is instructed to update payment details for future invoices.
Because the request appears to come directly from a familiar contact, the employee may not question the change.
The result could be payments redirected to an account controlled by criminals.
These examples illustrate why businesses can no longer rely exclusively on recognizing someone’s face or voice to establish their identity.
Why Microsoft Teams Has Become an Attractive Target
Microsoft Teams has become a central communications platform for businesses of all sizes.
Employees use it to conduct meetings, communicate with customers, exchange documents, collaborate on projects, and coordinate important business decisions.
For many organizations, Teams is now as important as email or the telephone.
Cybercriminals recognize this.
Attackers have increasingly attempted to exploit collaboration platforms through fraudulent invitations, malicious messages, social engineering, and attempts to impersonate legitimate users.
Unlike a suspicious email, a live conversation creates immediate pressure.
An attacker can respond to questions, create a sense of urgency, and use the natural flow of conversation to discourage independent verification.
The victim may feel compelled to act immediately rather than pause to confirm whether the request is legitimate.
AI-generated voices and manipulated video can make these interactions even more convincing.
Microsoft has already introduced or announced additional Teams protections addressing threats such as suspicious external callers, malicious invitations, and unwanted external meeting bots.
The forthcoming deepfake detection and impersonation features represent another step toward protecting business communications.
Will Deepfake Detection Make Microsoft Teams Completely Safe?
No. And business owners should understand why.
Although these new capabilities represent a valuable improvement, they should not be considered a complete solution to impersonation attacks.
AI-generated content can be difficult to identify consistently.
Detection tools may not recognize every manipulated recording or synthetic voice, particularly as the underlying technology improves.
There is also the possibility that legitimate content could be incorrectly identified as suspicious.
Microsoft’s proposed integrations are intended to provide additional security signals, not absolute guarantees about someone’s identity.
Furthermore, not every Microsoft Teams customer should assume these protections will be active automatically.
The third-party detection feature will depend on supported providers, and businesses may need to evaluate additional licensing, configuration, or service requirements as Microsoft releases more implementation details.
As of October 2026, both features remain in development, with general availability currently scheduled for November. Release plans are subject to change.
Even the most sophisticated security software cannot replace a company’s established procedures for verifying sensitive financial and operational requests.
Six Things Businesses Should Do to Protect Against Deepfake Impersonation
1. Verify Financial Requests Outside the Meeting
If someone requests an unusual payment, banking change, or transfer of sensitive financial information during a video meeting, employees should verify the request through an independent communication channel.
That means calling the person using a telephone number already stored in company records, not one supplied during the suspicious conversation.
This simple procedure can help prevent fraudulent transactions, even when the impersonation appears convincing.
2. Require More Than One Approval for Significant Transactions
Organizations should establish approval procedures for significant financial transactions, particularly wire transfers, changes to vendor banking details, and other high-risk activities.
Requiring independent approval from a second authorized employee reduces the likelihood that a single deceptive conversation will result in a major financial loss.
3. Strengthen Microsoft 365 and Teams Security
Businesses should review their Microsoft 365 security settings, including multifactor authentication, external access policies, guest invitations, meeting permissions, and account monitoring.
Appropriate meeting lobby settings and restrictions on who can present or invite participants can also reduce unnecessary exposure.
Organizations should apply these controls according to their business requirements and risk tolerance.
4. Teach Employees About AI-Powered Impersonation
Traditional cybersecurity awareness training often concentrates on suspicious email messages, malicious attachments, and fraudulent websites.
Those threats remain important, but training should now include AI-generated voices, manipulated video, and social engineering conducted through collaboration platforms.
Employees should understand that a familiar face or voice is not sufficient proof of identity when someone requests an unusual or sensitive action.
5. Establish a Simple Way to Report Suspicious Calls
Employees need a clear process for reporting questionable Teams messages, meeting invitations, and calls.
They should feel comfortable ending an unexpected conversation and contacting IT when something seems unusual.
Security teams should investigate suspicious incidents, review relevant account activity, and determine whether additional protective measures are necessary.
6. Prepare for Microsoft’s New Security Features
Organizations using Microsoft Teams should monitor the Microsoft 365 Roadmap and announcements concerning the upcoming impersonation and deepfake detection capabilities.
IT administrators should evaluate which protections are available within their environment and whether additional third-party security services are required.
The goal is to incorporate new features into an existing security strategy rather than relying on them as the sole defence.
The Bigger Problem: AI Is Changing What We Can Trust
For decades, businesses have relied on familiar indicators to establish trust.
We recognize a colleague’s voice over the telephone. We recognize a person’s face during a video meeting. We recognize a supplier’s name when receiving a message.
Artificial intelligence is challenging those assumptions.
Voice and video are becoming easier to imitate, and familiar-looking identities can be created or misrepresented with relatively little effort.
That doesn’t mean businesses should abandon video conferencing or become suspicious of every interaction.
It means organizations need to distinguish between recognizing someone and independently verifying that they are authorized to make a particular request.
This distinction is especially important when money, confidential information, administrative privileges, or access to business systems are involved.
Microsoft’s upcoming Teams protections acknowledge that identity deception has become an important security challenge.
But the lasting solution requires a combination of technology, employee awareness, and clearly defined business procedures.
Your Business Needs More Than Antivirus to Defend Against Modern Cybercrime
The emergence of convincing AI-generated impersonations demonstrates why cybersecurity is no longer limited to protecting computers against viruses and malicious software.
Today’s attacks increasingly target employees, established relationships, and the processes organizations rely on to make business decisions.
A criminal may never need to compromise a server if they can persuade an authorized employee to transfer money, disclose confidential information, or grant access to a sensitive system.
That’s why a comprehensive cybersecurity strategy should address both technical vulnerabilities and human decision-making.
At Alvarez Technology Group, we help businesses strengthen their technology environments through managed IT services, cybersecurity solutions, Microsoft 365 support, security awareness, and proactive technology management.
As Microsoft introduces new security capabilities for Teams, businesses should take the opportunity to evaluate their existing collaboration settings, employee training, and procedures for authorizing sensitive requests.
Ask yourself:
- Would our employees recognize a suspicious Microsoft Teams invitation?
- Do we require independent verification before changing vendor banking information?
- Could someone impersonating an executive convince an employee to authorize a payment?
- Are our Microsoft 365 security policies appropriately configured?
- Do employees know who to contact if they suspect a fraudulent video call?
If you’re uncertain about the answers, now is an excellent time to review your organization’s cybersecurity practices.
Contact Alvarez Technology Group to learn how we can help your business strengthen Microsoft 365 security, improve employee awareness, and reduce exposure to emerging cyber threats.
Visit www.alvareztg.com to learn more about our managed IT and cybersecurity services.
Sources and additional reading:
BleepingComputer: Microsoft Teams to Get Support for Third-Party Deepfake Detection Tools — October 8, 2026
Microsoft 365 Roadmap: Third-Party Synthetic Audio and Video Detection in Microsoft Teams — Feature 573451
Microsoft 365 Roadmap: Impersonation Protection for Teams Meetings — Feature 573157