Скачать или смотреть Verifying Identity with Incode Technologies

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Traditional identity systems authenticate credentials and devices, but they can't verify who's actually behind them. Attackers use AI-generated IDs and deepfake videos to pass background checks, then clone voices to reset MFAs at the help desk. Identity has become the primary attack surface, and existing IAM platforms still trust the human layer far too easily.


In this episode, Fernanda Sottil (  / fernanda-sottil  ) , Senior Director of Strategy at Incode Technologies (https://bit.ly/4nMgjiG) , explains how their solution adds a real-world identity layer that integrates seamlessly with existing IAM systems. Joining her are Nick Espinosa (  / nickespinosa  ) , host of the Deep Dive (https://podcasts.apple.com/us/podcast...) radio show and Bozidar Spirovski (  / spirovskibozidar  ) , CISO at Blue Dot (https://www.bluedotcorp.com/request-i...) .



Questions answered on the show:




• How does Incode comply with GDPR when training AI models on employee facial data?

• What happens when legitimate users get blocked, especially job candidates?

• How does Incode maintain accuracy across 4,600 document types in 200 countries?

• Can organizations see error rates and override the system when needed?

• How quickly can Incode patch new attack vectors as adversarial threats evolve?


Huge thanks to our sponsor, Incode Technologies


(https://bit.ly/4nMgjiG)


Incode Workforce (https://bit.ly/4nMgjiG) helps enterprises stop deepfakes, prevent fraud, and secure every identity moment. By matching an ID to a selfie with AI-powered biometrics, Incode confirms the real person behind each IAM interaction, safeguarding onboarding, access, and recovery with frictionless verification that ensures workforce security and trust at scale.