AI-Enabled Fraud

AI-enabled fraud covers scams and deception schemes where criminals use generative AI tools to make fake voices, videos, documents, or messages that pass as real people or organizations. Common examples include voice clones that impersonate an executive to authorize a wire transfer, and synthetic identities built to pass customer onboarding checks. For enterprises, this raises direct exposure to financial loss, business email and payment fraud, and failures in identity verification controls that were designed before these tools became cheap and convincing.

1 item

Corporate PolicyGlobal2026-10-08

Microsoft Teams Deepfake Detection Arrives in November, Demanding Payment Control Review

Microsoft announced that Teams will gain support for certified third-party deepfake detection tools and a new impersonation protection feature, with general availability expected in November 2026. The additions allow third-party providers to analyze meeting audio and video for synthetic or manipulated content, surfacing alerts and controls inside meetings. Organizations that rely on video calls to authorize payments, approvals, or legal decisions face a concrete deadline to assess whether existing controls remain adequate.

Microsoft deepfake detection impersonation protection Microsoft Teams AI-enabled fraud payment controls identity verification