Honeypotz AI Studio is a confidential computing platform focused on securing AI/ML models and protecting sensitive data during processing and collaboration. Core Functionality: - Provides AI-driven threat detection and neutralization to protect systems and data - Uses confidential computing techniques to keep data hidden from hackers, internal threats, malware, and cloud providers - Enables secure multi-party collaboration, allowing multiple organizations (including competitors) to share insights without exposing each other's data Key Capabilities: - AI/ML model protection via CPU-level security (referred to as "Quantum Armor Technology"), embedding defenses at the hardware layer - Biometric identity validation using EKG signals (DeepBeat ID model), achieving 90% accuracy on 1,000 EKG records, with use cases including border crossing authentication - Secure healthcare diagnostics, enabling analysis of sensitive medical data while maintaining patient privacy - Governance, status alerts, communication, task activity, and dashboard features for managing security operations Use Cases: - Secure healthcare diagnostics with confidential AI analysis of medical data - EKG-based biometric identity validation (tested in partnership with NASA) - Border crossing authentication without traditional passports or IDs Community and Resources: - Open-source presence on GitHub - Community Slack workspace - Published whitepaper and technical documentation available