Competitive Landscape
The prevalence of identity theft poses a significant challenge in today’s world, resulting in substantial losses for government agencies, businesses, and private citizens. Current solutions, such as code sharing and picture matching (captcha), are proving to be inadequate, as they can be easily replicated by AI technologies. Additionally, cyberattacks, identity fraud, and the misappropriation of sensitive data, including biometric information, are becoming increasingly common, particularly in the financial, healthcare, social media, and other user data-driven industries.
Use Cases
1. Fintech- witnessed (By AI or human) transactions with an immutable record and complete privacy protection with layered encryption which can be used for crypto transactions or traditional money services to third-parties and consumers.
2. Healthcare transaction audits which ensures a patient’s identity, the correct procedure, and the right caregiver. This technology eliminates wristbands or wearables and offers the patient a secure way to navigate the medical landscape. The technology can be useful for antifraud by government agencies and also for AI medical procedures as a safety gate.
3. A social media application with patented technology that has high assurance registration, parental engagement, process and user verification to protect children online.