Duality empowers organizations to securely analyze sensitive, distributed, or inaccessible data—without moving or exposing it.
Digital sovereignty has become a defining issue for defense and cyber strategy. This webinar brings together leaders who have shaped national policy, intelligence operations, and NATO-wide transformation.
If you work in defense, cyber, cloud, or secure AI, make time for this session.
Unlock opportunities to train your models on partner, client, or third-party data you can’t directly access.
Unlock insights from inaccessible data without compromising the security of your own.
Discover how these data protection guardrails scale and accelerate critical data operations for growth and innovation while satisfying compliance by design.
Securely analyze remote datasets in untrusted environments with post-quantum protection. Land and expand government data contracts with unmatched security and compliance.
Safely evaluate external AI models on your sensitive data.
Maintain full control and privacy while benchmarking AI vendors.
“We partnered with Duality to fulfill the promise of privacy preservation in information sharing. The Duality platform has the potential to become one of the key tools for inter-bank collaborations.”
Create and manage your own collaboration network, powered by Duality’s privacy-preserving technology.
Securely derive insights on decentralized data sets by running privacy-preserving queries.
Collaborate on AI models across organizations without ever exposing your data.
Generate deeper insights
Monetize sensitive data and AI models
Accelerate data-driven innovation
Ensure full control over your data and IP
Comply with data protection and industry regulations
Securely compute in third-party environments and the cloud
Empower your organizations to share and analyze encrypted data using Duality’s Privacy Enhancing Technologies (PETs) such as Fully Homomorphic Encryption, Federated Learning, Trusted Execution Environment, and more…
Maximize the value of sensitive, regulated, or confidential data.
