Privacy Can’t Be an Afterthought in Identity Verification Data breaches remain one of the most persistent risks in the digital
Key Takeaways: The privacy problem with Big Tech is how they harvest personal data without clear consent. This fuels mistrust
Key Takeaways: Liveness detection is a biometric identity verification method used to confirm that a real, live person is present
Key Takeaways: Deepfakes are creating serious risks for identity verification, allowing fraudsters to impersonate real users and bypass traditional security
Key Takeaways: Digital trust is the confidence users have that a business will protect their data and respect their privacy.
Key Takeaways: Machine identities are digital credentials that allow non-human systems to authenticate and interact securely. As their numbers grow,
Key Takeaways: Static credentials are outdated and risky. Fixed identifiers like Social Security numbers or usernames expose the same information
Key Takeaways: AI agents are autonomous systems that act on behalf of people or organizations. As they make more decisions
Key Takeaways: Data sovereignty ensures that digital information is governed by the laws of the country where it is stored
