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Dr. Alon Kaufman
Cofounder and CEO | October 19, 2021
Driving Secure
Collaboration
in Healthcare
2
Data Collaboration raises
Privacy, Security, Regulations,
Business challenges
Data Collaboration is key
for valuable Ana...
| Confidential
3
Secure Data
Collaboration:
Unleashing the Value of
Data While Preserving
Privacy
• Our data-driven world ...
| Confidential
4
• Secures data in use, vs. secure data only “at rest” or “in transit”
• Allows analytics and data science...
| Confidential
5
Duality offers a secure computing collaboration platform, based on Homomorphic Encryption.
This enables o...
| Confidential
6
The Need:
Research,analysis,trialplanningacrossmultiplecenters
▪ Data linkage (e.g., genomic<>clinical, p...
| Confidential
7
Imagine a World with Data Always Protected
by Quantum-Safe Encryption
A technology breakthrough that alre...
Thank You
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Presentation by Alon Kaufman, CEO, Duality Technologies, for the mHealth Israel community. Homomorphic encryption is used to protect patient privacy and data security.

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Duality Technologies_Driving Secure Collaboration in Healthcare_mHealth Israel

  1. 1. Dr. Alon Kaufman Cofounder and CEO | October 19, 2021 Driving Secure Collaboration in Healthcare
  2. 2. 2 Data Collaboration raises Privacy, Security, Regulations, Business challenges Data Collaboration is key for valuable Analytics, Machine Learning and AI Leveraging data to its fullest extent is only possible with secure, privacy-preserving collaboration 2
  3. 3. | Confidential 3 Secure Data Collaboration: Unleashing the Value of Data While Preserving Privacy • Our data-driven world revolves around data, data enrichment & modeling – all require data collaborations • Data collaborations are challenged by security, privacy, confidentiality and IP concerns • Duality offers a commercial, Data Science platform over quantum-safe Fully Homomorphic Encryption • Homomorphic Encryption is the holy grail of secure computing – encryption in use Dr. Alon Kaufman, CEO Fmr. Director of Data Science, Innovation and Research, RSA Rina Shainski, Chairwoman Fmr. General Partner, Carmel Ventures (Viola) Dr. Kurt Rohloff, CTO Implemented Homomorphic Encryption for DARPA; Founded PALISADE Prof. Shafi Goldwasser, Chief Scientist 2012 Turing Award; 1993 and 2001 Gödel Prize Prof. Vinod Vaikuntanathan, Chief Cryptographer Co-inventor of 3 practical HE schemes, MIT Recognized across industries Backed by leading investors, raised $49M Founders
  4. 4. | Confidential 4 • Secures data in use, vs. secure data only “at rest” or “in transit” • Allows analytics and data science to be applied to encrypted data • Encryption method resistant to quantum computing attacks • Duality’s HE is compliant with privacy regulations Background on Homomorphic Encryption Homomorphic Encryption secures data throughout the entire lifecycle Schematic of data flow: Duality’s Unique IP Enables Data Science on Encrypted Data Duality Products: AI on encrypted data/models Run confidential queries Run statistics on linked data sets
  5. 5. | Confidential 5 Duality offers a secure computing collaboration platform, based on Homomorphic Encryption. This enables organizations to apply analytics to data without the need to expose sensitive information. Enabling Secure Healthcare Collaborations Healthcare Predictions • Secure Model Training • Train models on encrypted data to predict COVID-19 severity Real-World Evidence • Secure Records Aggregation • Aggregate evidence data in order to gain insights with higher statistical power Clinical-Genomic Analysis • Secure Features Linking • Join genomic data from one source and clinical data from a different source for correlation insights Secure Data Analysis Encrypting data and running analytics on it Secure Model Deployment Encrypting models and deploying them on third-party data Secure Data Linkage Encrypting data sets, linking them, and analyzing them in aggregate Secure Query Encrypting SQL-like queries and running them on a third-party database Duality’s Use cases Duality’s 4 Collaboration Models
  6. 6. | Confidential 6 The Need: Research,analysis,trialplanningacrossmultiplecenters ▪ Data linkage (e.g., genomic<>clinical, pathology<>clinical) ▪ Data aggregation for improved statistical significance The challenge: Classicalde-identificationmethodsarenotsufficient ▪ Re-identification risk ▪ Not compliant with new privacy regulations ▪ Do not support record-linking on a patient's level ▪ Valuable insights are lost in the de-identification process The Solution: Eachmedicalcentersharesonlyencrypteddata ▪ Analysis of joint cohorts is performed on the encrypted data. The data is never decrypted. ▪ Analytics results are decrypted and reviewed Types of computations: ▪ Survival analysis, Fitting regression models, Correlations and statistical tests, GWAS, Descriptive statistics, cross tabulation and more Encrypted result Result Data flow Encryption / Decryption flow Joint-decryption of results CRO / Pharma Privacy Enhanced Multi-Center Real World DataAnalysis
  7. 7. | Confidential 7 Imagine a World with Data Always Protected by Quantum-Safe Encryption A technology breakthrough that already exists today! Supportsmanyusecasesatscale Super flexible technology that fits in your stack and is configured to your needs: choose your environment, your collaboration model, and how you want to consume Duality (GUI, API, SDK) Unleashesvalueofyourdata New analytics opportunities, new research capabilities business models and reduces time to data Standardized,secure,andcompliant CCPA, GDPR, Open Source, HomomorphicEncryption.Org Ledbyworld-renownteam Experts in data science, privacy, and financial services
  8. 8. Thank You

Presentation by Alon Kaufman, CEO, Duality Technologies, for the mHealth Israel community. Homomorphic encryption is used to protect patient privacy and data security.

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