Organizations need data protection and governance guarantees before trialing 3rd party AI models, let alone full-scale adoption. Fortunately, organizations now have a fully-featured, secure, and private means to use artificial intelligence models without exposing sensitive data sets to the model provider, and without the provider needing to expose sensitive features of their model to the users or data owners. Duality provides a confidential and privacy-protected AI solution so organizations can innovate faster while keeping sensitive data and IP secure.
In today’s Generative AI, Large Language Model, and Machine Learning era, enterprises are looking for options to test new AI tools from third-party vendors, recognizing that those who do not innovate will fall behind their competitors. To accelerate the speed of AI system’s evaluation and deployment, teams need to ensure they can allow new vendors to join, use real data for confident decision-making, and that sensitive data is never exposed to unauthorized parties.
Through the use of confidential computing, customer trade secrets remain secret even when used to customize models.
Duality has built-in governance capabilities that control who can view and access data based on predefined rules.
Duality is a software solution, not a SaaS, allowing enterprises to deploy the platform within their own environment.
Develop and test AI and Gen-AI applications while ensuring data and intellectual property remain protected.
Built upon a foundation of Privacy-Enhancing Technologies, Duality meets security, privacy, and confidentiality requirements for computations of any type.
Secures intellectual property by running AI systems in secure enclaves, preventing visibility into the algorithms by data teams.
The Duality software is deployed inside the Enterprise’s infrastructure, which uses confidential computing as supported by AWS, Azure, and GCP.
The Model Provider installs Duality software to encrypt and send their model to the confidential computing environment.
The Model and Data are decrypted inside the Confidential Computing environment (inaccessible to everyone).
The model training runs.
Results are encrypted and sent to the Enterprise for evaluation.
Customers viewS the training metrics and determineS whether the model meets their expectations.
Being able to quickly evaluate 3rd party models on real data allows organizations to make informed decisions with greater confidence and speed.
Risk leaders can rest easy knowing that their data assets and trade secrets are secured and properly governed.
Outpace the competition by eliminating trust and manual processes with technical guardrails. Begin the ROI on your AI R&D faster than the competition.
Duality’s platform uses federated learning (FL) to trivialize the need to use 3rd party models with multiple disparate datasets, including your own.
Assess AI models in production environments that closely mimic real-world conditions to ensure accuracy and reliability.
Our platform ensures product trials and data handling comply with privacy regulations and protect sensitive information.
Enable privacy-preserving data collaborations across your entire financial ecosystem.
Healthcare professionals can protect patient data across networks through privacy-preserving collaborations.
Founded and led by world-renowned cryptographers and data scientists, Duality operationalizes privacy-enhancing technologies (PETs) to accelerate data insights by enabling analysis and AI on encrypted data, while preserving data privacy and compliance. Unlock large volumes of diverse data and allow your team to securely scale data operations to develop high-efficacy models.
