Privacy Enhancing Technology (PETS)

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Privacy Enhancing Technology (PETS)

Privacy-enhancing technologies (PETs) enable organizations to process and analyze data while protecting individual privacy. They include techniques like differential privacy, homomorphic encryption, and federated learning, which allow for data analysis without directly accessing sensitive information.
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Anonos

Anonos Data Embassy helps organizations use sensitive data for analytics and AI while protecting individual privacy. It creates 'Variant Twins' - secure, use-case specific versions of original data - using techniques like pseudonymization and synthetic data generation.

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baffle

Baffle provides a no-code data security platform that encrypts sensitive information in cloud databases and data warehouses while maintaining application functionality, enabling organizations to perform analytics and queries on encrypted data without modifying existing applications or compromising security.

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Bitfount

Federated data science platform that enables secure multi-party data analysis by sending algorithms to data rather than moving sensitive data, allowing organizations to collaborate on AI and analytics while maintaining privacy through zero-trust architecture and built-in governance controls.

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brighterAI

Image and video anonymization platform using generative AI to replace personally identifiable information with synthetic data while preserving analytics capabilities, enabling organizations to maintain GDPR compliance while leveraging visual data for machine learning and analysis.

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DQ0

Data privacy and analytics platform that enables secure analysis of sensitive datasets through differential privacy, providing a quarantined computing environment where data scientists can run queries and build models without directly accessing protected data.

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Enveil

Privacy-preserving computation platform that enables organizations to perform encrypted searches, analytics, and machine learning on sensitive data across organizational boundaries while keeping both queries and results encrypted throughout the entire process, allowing secure data collaboration without exposing underlying information.

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eXate

eXate is a data privacy platform that aggregates Privacy Enhancing Techniques (PETs) to protect sensitive data both in motion and at rest, offering centralized policy management and Dynamic Attribute Based Access Controls that automatically enforce data privacy rules across APIs, applications, and databases based on context-aware factors like data origin, destination, and purpose.

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InCountry

InCountry is a data residency platform that enables organizations to store and process regulated data within specific geographic boundaries while maintaining global operations across their business applications, with particular capabilities for complex regulatory environments like China through its partnership with Alibaba Cloud.

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InfoSum

InfoSum is a data collaboration platform that enables organizations to analyze combined datasets through secure data clean rooms, where data remains within protected environments called Bunkers rather than being shared directly between parties. The platform uses privacy-preserving techniques like synthetic IDs and differential privacy to facilitate data matching, audience targeting, and campaign measurement while maintaining strict data security.

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integrate ai

Integrate.ai provides an end-to-end federated learning platform that enables organizations to train machine learning models across distributed datasets without moving sensitive data, allowing collaboration while maintaining data sovereignty through privacy-preserving technologies like differential privacy and isolated architectures.

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JLINC

JLINC is a protocol and platform that enables organizations and individuals to control how their shared data is used through cryptographically signed Information Sharing Agreements (ISAs), which govern automated data exchanges between parties while maintaining audit trails of all transactions.

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k2view

K2view is a test data management platform that segments and stores enterprise data by business entities (like customers or orders) in individually encrypted 'Micro-Databases,' enabling teams to access, mask, and generate test data while maintaining referential integrity across systems and protecting sensitive information through automated PII discovery and masking capabilities.

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Piiano

Piiano Vault is a data protection service that provides infrastructure for encrypting and securing sensitive customer data through field-level encryption, granular access controls, and comprehensive auditing capabilities, allowing organizations to protect PII and other critical information while maintaining operational efficiency.

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Protecto

Protecto enables organizations to safely use AI systems by replacing sensitive information with specialized tokens, preserving the context and usability of the data while maintaining security through encrypted storage and access controls.

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Sarus

Sarus is a data privacy platform that enables organizations to analyze sensitive data and build AI applications through a query-only interface, using differential privacy techniques to provide mathematical guarantees of privacy protection while allowing data scientists and analysts to retrieve privacy-safe results without direct access to raw data.

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sharemind

Secure multi-party computation platform that enables companies to analyze and compare sensitive business data while maintaining complete encryption, allowing organizations to gain competitive insights without exposing their underlying financial information to other participants or the system itself.

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skyflow

Skyflow is a data privacy vault platform that isolates and protects sensitive customer information like PII, PHI, and payment data by transforming it into non-exploitable tokens, while providing fine-grained access controls and comprehensive audit logging to help organizations maintain security and regulatory compliance.

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Tumult Labs

Tumult Analytics is a differential privacy platform that enables organizations to safely publish statistical summaries of sensitive data by adding carefully calibrated noise, providing mathematical privacy guarantees and used by institutions like the U.S. Census Bureau and IRS for publishing protected datasets.

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Tonic

Tonic is a data privacy platform that generates realistic, de-identified test data for development and testing environments, preserving data relationships and utility while ensuring compliance with privacy regulations like HIPAA, GDPR, and CCPA. Its masking and synthesis techniques protect sensitive information, enabling teams to work with production-like data securely and efficiently.

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Truata

Truata is a privacy-enhanced data analytics platform that helps organizations analyze and share sensitive data while maintaining compliance with privacy regulations through advanced anonymization, de-identification, and risk assessment capabilities.

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