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Case study · Cybersecurity

Taking deepfake detection into live meetings

AI Anytime showcased Exiphore, its forensic deepfake detector, to one of the UAE's largest cybersecurity companies. The result was a concrete feature request: integrate Exiphore into Microsoft Teams calls so meetings can be analysed for synthetic audio and video.

A face split between a real photo and a digital mesh, with audio and video analysis signals
Client
One of the UAE's largest cybersecurity companies
Sector
Cybersecurity
Region
United Arab Emirates
Engagement
Product · Exiphore
Status
Showcase → feature request

Outcomes & KPIs

What it changes

  • Integration surface

    Microsoft Teams

    Requested by the customer

  • Media analysed

    Video · image · audio · docs

    Exiphore's evidence families

  • Deployment

    On-premises

    Evidence stays in the customer's estate

  • Stage

    Feature request

    From showcase to product roadmap

  • A feature request to integrate Exiphore into Microsoft Teams calls for analysis.
  • A defined direction for verifying people and media in real time during meetings.
  • Validation of Exiphore's forensic approach by a large enterprise security team.

01

The challenge

  • Deepfake voices and video are now used in impersonation and social-engineering attacks, including on live calls.
  • Security teams need verification inside the tools people already use, not only after the fact.
  • Analysis must preserve evidence and stay within the organisation's own infrastructure.

02

Our approach

  • A live showcase of Exiphore's multi-signal forensic analysis across video, image, audio and documents.
  • A walkthrough of court-ready reporting and on-premises deployment, so evidence never leaves the customer's estate.
  • A working session on where synthetic media shows up in the customer's threat model.

What's next

We are scoping the Microsoft Teams integration with the customer.

About Exiphore

Next step

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