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Microsoft Teams Deepfake Detection: AI-Era Security Upgrade Explained

4 min read Editorial

Microsoft Teams is adding a new security feature built for the AI era, and the company is being candid about one limitation: it isn’t trying to do everything on its own. According to a report from Neowin, Teams will gain a security upgrade aimed at AI-driven threats, but the actual Teams deepfake detection work will be handed off to specialized third-party providers.

That’s a meaningful decision. For years, Microsoft has pushed to fold AI capabilities directly into Teams — live transcription, background blur, and meeting summaries. But when it comes to catching AI-generated faces and voices in real time, the company is choosing to lean on specialists who focus on just that problem rather than building it all internally.

What’s changing in Teams

The headline detail is simple: Teams is getting an AI-era security upgrade. The report frames it as a response to a wave of AI-powered threats that have turned video calls into a fraud target, including synthetic media designed to impersonate real people.

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What Microsoft is deliberately not doing is building Teams deepfake detection into Teams itself. Instead, it is leaving that specific job to third-party providers who specialize in the technology. In practice, that could mean Teams integrates with external tools or services rather than shipping its own detection engine.

As of now, the report doesn’t spell out the exact mechanics — whether this will be a built-in toggle, a partnership with an established security vendor, or an open platform for other developers to plug in. Microsoft hasn’t released a specific date or build for the feature either, so the details remain thin.

A split-screen video call showing a clear face on one side and a glitching, pixelated synthetic face on the other, dark
Deepfake scams targeting video calls have pushed Microsoft to seek specialized detection tools.

Why Microsoft is outsourcing Teams deepfake detection

It’s worth asking why a company as large as Microsoft would pass on a feature like this. The short answer is specialization. Detecting deepfakes reliably is a genuinely hard problem: it requires analyzing subtle artifacts in video and audio, tracking how synthetic media is generated, and keeping pace with a fast-moving field where new techniques appear constantly.

Specialized third-party providers often focus exclusively on this space, which can let them move faster than a broad product team. By partnering with them, Microsoft can potentially offer detection quality that would take much longer to develop in-house.

This also fits a broader industry pattern, where major platform makers increasingly treat AI security as a category for niche specialists rather than something every product must build from scratch.

The AI security backdrop

The timing isn’t coincidental. AI-powered fraud has become a genuine concern for businesses that rely on video calls for hiring, sales, banking, and internal meetings. Deepfake scams — where someone’s face or voice is synthesized to impersonate a colleague or executive — have already been linked to real financial losses across several high-profile incidents.

Teams, used by hundreds of millions of people for work communication, is a natural place for these threats to surface. Adding a security layer that acknowledges the AI era is a logical step, even if the execution is being delegated to partners. It also signals that Microsoft sees AI-driven impersonation as a first-class threat worth addressing at the platform level.

Abstract representation of connected security nodes forming a network, glowing lines between spheres on a dark navy back
Microsoft plans to partner with dedicated security vendors rather than build detection in-house.

What This Means for You

If you use Teams for work, the practical takeaway is that your calls may gain some protection against AI-generated impersonation — but the specifics will depend on how Microsoft and its partners actually roll it out. Until then, standard caution still applies: verify unexpected requests, especially financial ones, through a separate channel.

For organizations worried about deepfakes, this is a signal that the market for dedicated detection tools is growing. It may be worth watching what third-party options become available and how they integrate with the tools you already use, particularly if your team handles sensitive calls or onboarding over video.

How to Get It

Because Microsoft hasn’t announced a release date or build number, there’s nothing to update to just yet. Keep an eye on the official Microsoft news channels and the Teams changelog for the real announcement, and check back here for a full breakdown once details land.

Source: Neowin

Over to you: As AI-powered video fraud becomes more common, would you trust a third-party tool to flag deepfakes in your Teams calls, or would you want Microsoft to build it in-house?

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Windows & Microsoft news editor at 9to5Windows. Covering everything from Windows 11 builds to enterprise updates.

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