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SecurePlus

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Software Status:Active

About SecurePlus

SecurePlus is a secure data collaboration software from Duality Technologies that protects data privacy and security for collaboration among multiple data owners and analyzing parties. It combines Secure Query, Secure Collaborative AI, and Duality Assistant Agent so users can effectively analyze sensitive data while maintaining strict privacy standards. The platform also supports Secure Federated Analytics and is open source to foster community collaboration and transparency. SecurePlus enables organizations to access valuable insights from sensitive datasets without compromising individual privacy. Key capabilities: Secure Query Secure Collaborative AI Duality Assistant Agent Secure Federated Analytics Open Source Best for: organizations that need secure data collaboration and privacy-preserving analytics.

SecurePlus Details

Vendor
Duality Technologies
Year Launched
2016
Location
5 Marine View Plaza, Suite 301 Hoboken, NJ 07030, USA
Deployment
cloud
Training Options
documentation
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese
Users
Data Scientists, AI/ML Engineers, Compliance Officers, Chief Data Officers, Information Security Professionals, Government Data Analysts, Healthcare Researchers, Financial Risk Analysts, Marketing Analysts, Data Governance Managers, IT Infrastructure Engineers, Business Intelligence Developers
Industries Served
Financial Services, Healthcare & Life Sciences, Government & Public Sector, Marketing & Advertising, Insurance, Manufacturing, Data Services & Platforms, Legal & Regulatory, Telecommunications, Cybersecurity
Tags
Data Management, Duality Technologies

SecurePlus's In-App Market Place

Does SecurePlus have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
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Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (chf), CNY (元), SEK (kr), INR (₹), SGD (S$), HKD (HK$), NZD (NZ$), KRW (₩), RUB (₽), ZAR (R), BRL (R$)

Pros & Cons

  • Advanced privacy technologies: Uses Homomorphic Encryption, Federated Learning, MPC, and more to protect sensitive data
  • Encrypted data analysis: Enables SQL-like queries, machine learning, and analytics without exposing raw data
  • Flexible collaboration: Supports cross-border, multi-party data sharing with granular access controls
  • Enterprise-grade scalability: Handles large datasets and integrates with existing infrastructure via SDKs and APIs
  • End-to-end lifecycle support: Covers ingestion, schema alignment, transformation, and analysis in one platform
  • Compliance by default: Built to meet stringent data privacy regulations across industries
  • Trusted by major organizations: Partners include AWS, Intel, Oracle, IBM, and DARPA
  • Complex setup: May require technical expertise to configure cryptographic workflows and integrations
  • Performance trade-offs: Encrypted computations can be slower than traditional methods depending on use case
  • Limited public adoption: Still emerging in mainstream enterprise environments compared to legacy platforms
  • Specialized use cases: Best suited for regulated industries like healthcare, finance, and government

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