Secure Collaborative AI

Secure Collaborative AI is a product from Duality that enables organizations to train and deploy AI and machine learning models on sensitive datasets without moving or exposing the underlying data. It is designed for enterprises, AI vendors, and their clients who face privacy, security, and compliance barriers when attempting to use sensitive or externally held data for model development and deployment.

The platform addresses a core challenge in AI development: access to high-quality, real data is often blocked by organizational boundaries, regulatory requirements, and IP protection concerns. Duality's approach allows both data owners and model vendors to participate in AI collaboration while keeping proprietary algorithms and sensitive data protected throughout the process.

Core Capabilities

• Supports any data type, including sensitive datasets that are not otherwise accessible to the training organization.
• Compatible with a range of model types, from traditional machine learning models to advanced neural networks and generative AI models.
• Allows model training and deployment on sensitive, external datasets without requiring data to be moved or exposed.
• Enables AI vendors to demonstrate and monetize their models on real customer data earlier in the sales cycle, while keeping proprietary algorithms protected.
• Allows clients to benefit from models trained on richer data while maintaining privacy and compliance guarantees.
• Supports model personalization on sensitive customer data, including natural language processing and predictive analytics applications, without exposing model IP or client data.
• Enables deployment of generative AI models against sensitive data to produce insights without requiring data to be unlocked from privacy or security restrictions.
• Allows AI vendors to deploy models on specific tasks without risking IP leakage.
• Supports third-party model evaluation and generative AI assessment on real-time data prior to a purchase decision, with data protection maintained throughout.

Industry Use Cases

• Government: Supports collaborative model training for cybercrime, financial crime, and national security applications across public and private sector partners, without exposing sensitive data or the models themselves.
• Healthcare – Pathology Prediction: Enables deployment of AI models to predict and detect pathologies using medical imaging data linked with PII and Protected Health Information (PHI), without introducing data or AI vulnerabilities.
• Healthcare – Health Risk and Precision Medicine: Links genomic data with other sensitive PII and PHI to deploy models for health risk prediction, precision medicine, and drug discovery.
• Financial Services – Risk Scoring: Supports building risk models by combining features across data vendors and financial institutions for enhanced predictive analytics, while protecting sensitive information and models from security threats.
• Model Evaluation: Allows organizations to test third-party models and generative AI offerings on their own real-time data before committing to a purchase, reducing time to value.

How the Platform Works

• The Duality Platform provides a set of privacy technologies and AI applications that support model deployment while maintaining data privacy.
• Organizations can collaborate with partners through the platform while applying governance controls required for privacy-protected collaboration.
• Prioritizes use of real sensitive data for model development rather than relying solely on synthetic data.

The Duality Platform is available across multiple deployment environments, including on-premises installations and major cloud platforms such as AWS, GCP, and Azure.