When Trust is Impossible, Encryption is Essential
Zero Trust AI Security
Why Encryption Is the Most Effective Way to Secure AI
AI usage today is fundamentally insecure, with data exposed during model interactions. While most avoid sharing credit card details on non-HTTPS websites, AI is currently used similarly: in plain text, fully visible to model providers.
Nearly all organizations (98%) have a supplier with a data breach history, making vulnerabilities almost universal. AI significantly elevates this threat. Financial data breaches average $6 million in costs, with major incidents reaching a staggering $375 million.
New regulations like the Digital Operational Resilience Act (DORA) for financial services now mandate encryption for data-in-use, alongside existing requirements for data-at-rest and in-transit.
The time to act is now. Wodan AI addresses these challenges through cryptographic innovation. We provide complete data privacy and model security, enabling AI use in sensitive sectors like finance and healthcare without risking data leaks or breaches.
Product
The AI model performs its advanced analytics on encrypted data, ensuring that all interactions remain secure. The AI provider never gains access to the request, data, or response, safeguarding sensitive information.
The solution captures metrics collection and pay-per-use billing, offering a scalable and cost-effective solution for managing data transmissions.
Collaborations:
Wodan AI’s innovative software solution acts as a seamless bridge between your application and AI models, empowering organizations with secure AI integration. This cutting-edge technology serves as a thin API layer, ensuring a transparent user experience.
Easy to deploy as a container, the product simplifies the integration process, providing a robust and scalable solution for businesses seeking to leverage AI securely.