Duality Technologies

Government AI mandates say ‘go faster.’ The bottleneck is legal data/model sharing. Here’s how to unlock it without moving raw data. Watch the full webinar: https://hubs.ly/Q03PscVZ0

How can banks detect fraud across institutions without exposing customers’ PII? Answer: stop moving raw data. Use privacy-enhancing technologies (FHE, secure MPC, federated learning, and confidential compute) so models or queries travel, not identities. That means banks can jointly surface suspicious patterns, match signals, and block fraud fast, while legal/compliance teams sleep at night. Why it matters: fewer legal obstacles, faster collaboration, better models (because you use real signals), and, critically, less reputational risk. If you’re running fraud ops, risk, or data science at a bank and still relying on clumsy data-sharing agreements or synthetic proxies that don’t work, we should talk. Demo our secure cross-bank detection workflow. https://hubs.ly/Q03Pfdj40

Gartner just named Confidential Computing one of the top 3 “Architect Technologies” shaping the next decade predicting 75% of all untrusted workloads will run in confidential environments by 2029. That’s massive. But securing workloads is just step one. The real value comes when organizations can collaborate securely across silos, training AI models, sharing insights, and building trust without exposing data. That’s what we do at Duality Technologies - making confidential computing AI-ready. Read our take on Gartner’s latest report https://hubs.ly/Q03Psdcs0 #ConfidentialComputing #AI #PrivacyEnhancingTechnologies #DataCollaboration #DualityTechnologies #Gartner

Threat Detection Shouldn’t Compromise OPSEC. Defense and intelligence teams need to search across diverse data: ISR feeds, open-source content, and mission reports. The problem? Traditional search leaks intent. Duality solves this with Zero Footprint Semantic Search: - Encrypted prompts, data, and results - Quantum-safe vector search across modalities - Secure collaboration across agencies and allies From identifying emerging activity near bases to auditing procurement anomalies, our platform powers investigations without ever revealing what you’re looking for. Discover secure semantic search: https://hubs.ly/Q03NcnWf0

Who will we see in Liverpool? 20-22 October. https://hubs.ly/Q03Ph7sl0

AI is getting smarter and so are the laws, borders, and institutions that govern data. The next wave of AI innovation isn’t just about capability. It’s about control. From governments enforcing data localization, to enterprises ring-fencing customer data under HIPAA, GDPR, and the EU AI Act organizations are realizing that AI without sovereignty is risk. That’s why a new generation of privacy-first, sovereign AI architectures is emerging where models, data, and compute stay within trusted boundaries, yet still collaborate securely through technologies like Fully Homomorphic Encryption, Confidential Computing, and Federated Learning. The future of AI isn’t centralized. It’s securely distributed. Learn how Duality is enabling privacy-first, sovereign AI ecosystems https://hubs.ly/Q03Pf85J0

Data is the new battlespace. Yet across defense organizations, mission-critical datasets, from logistics to satellite imagery, sit locked in silos. The challenge? Balancing security with actionability. Duality’s Secure AI Collaboration platform unlocks this data safely, empowering defense leaders to: - Fuse intelligence sources for faster threat detection - Forecast sustainment needs with predictive logistics - Deploy AI at the tactical edge for real-time decisions - Collaborate securely across allied networks without exposing national secrets This is AI at mission speed, without compromising sovereignty, compliance, or trust. Learn how: https://hubs.ly/Q03Ncn9x0 #DefenseTech #MilitaryAI #DefenseInnovation #CyberDefense

Larry Ellison is right: for enterprises, the moment AI goes beyond public data and can reason over private, domain-specific data, you unlock the true leverage. But that leap only pays off when you handle that data responsibly. https://lnkd.in/dkBCJfhT

A major milestone for secure data collaboration. UK's Department for Science, Innovation and Technology, NHS England National Disease Registration Service, and the National Cancer Institute (NCI) have recognized the power of Privacy-Enhancing Technologies (PETs) in enabling international health research, featuring a pioneering Duality-powered study that allowed US and UK researchers to analyze sensitive cancer data collaboratively, without sharing it. This project proves what’s possible when nations and institutions can work together responsibly accelerating discovery, maintaining compliance, and protecting patient privacy all at once. It’s not just about one study. It’s about a new model for cross-border data collaboration, where insights can move freely, but data never has to. Read the full case study here: https://lnkd.in/dxTWyd_d #PETs #PrivacyEnhancingTechnologies #DataSovereignty #HealthTech #AITrust #SecureCollaboration #GovTech #PrivacyFirstAI

Oracle’s announcement today highlights our collaboration to deliver privacy-first AI to government and defense enabling agencies to leverage the world’s most advanced AI infrastructure while maintaining full control of their data. Together with Oracle, we’re building AI that operates across clouds and jurisdictions without exposing sensitive data, a foundation for responsible, secure, and scalable innovation. And defense is just the beginning. The same need for data sovereignty with collaboration extends across finance, healthcare, and every AI-driven enterprise where data trust defines success. Read the full release https://lnkd.in/djAf49yk