A SaaS solution designed for organizations, governments, and industries aiming to mitigate deepfake threats by adding an additional layer of protection to secure online meetings from potential fraud.
Does truth Ā mean something to you?
Your next video call could be a deepfake. Would you know the truth?
Cybercriminals no longer steal passwords: they steal identities.
They show up as trusted partners, as valued clients, as true people you rely on.
With real-time voice cloning and AI-generated faces, the line between real and fake blurs.
What is a stake?
Confidentiality breaches if unauthorized individuals join sensitive calls.
Reputational risk if a fraudulent participant is not identified.
Privacy Violations: Fake content using someoneās image, voice, or face without consent.
Fraud & Social Engineering: Impersonation to steal money, credentials, or sensitive info.
Disinformation: Spreading false news or manipulating public opinion.
Deepfake detection made easy: your real-time solution
With deepfakes and morphing techniques advancing in complexity, verifying the true identity of participants in video conferences has become a critical security requirement. This guide provides technical instructions for deploying the identifAI Agent to authenticate callers in real time and defines the response protocols to follow if an AI-generated identity is detected during a session.
identifAI Agent is an autonomous security agent for identity verification in videoconferencing environments. identifAI Agent leverages machine learning models to analyse video streams, detecting synthetic manipulations in real time. The unified portal enables configuration, live monitoring, and report analysis, providing an essential security layer against AI-based impersonation.
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The identifAI Agent leverages machine learning models to analyse video streams, detecting synthetic manipulations in real time.
The unified portal enables configuration, live monitoring, and report analysis, providing an essential security layer against AI-based impersonation.
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