VEIL.AI Anonymization Engine is a cutting-edge, end-to-end solution designed to safeguard the privacy of sensitive health data. Our comprehensive solution offers a streamlined pipeline that automates health data anonymization and synthetization processes. It offers comprehensive privacy protection assessments while maintaining the highest levels of data quality and utility, enabling secure data utilization and monetization without compromising individual privacy.
By leveraging VEIL.AI Anonymization Engine, organizations can efficiently anonymize and synthesize health data at an individual level, producing exceptionally high-quality data. This breakthrough technology opens up new possibilities for organizations to harness sensitive data securely.
The versatility of VEIL.AI Anonymization Engine extends to supporting both static data files and continuous data streams. Whether it’s hospital data lakes that accumulate information on a daily basis or continuous measurements from medical devices, this solution seamlessly manages the anonymization process
VEIL.AI Anonymization Engine operates through three key phases:
Initiate the process by providing your sensitive health data along with its schema. Customize the quality and privacy criteria for the variables within your data, tailoring them precisely to your specific use-case requirements.
Activate VEIL.AI Anonymization Engine, prompting the system to execute the anonymization process. You’ll receive your sensitive data transformed into an anonymized format, aligning with the predefined configuration input.
Receive a privacy risk and quality analysis of the anonymized dataset, enabling comparison with the original data. This allows you to adjust privacy and quality settings for optimal results across various use cases.
VEIL.AI Anonymization Engine surpasses legacy anonymization methods, ensuring markedly superior data quality.
Unlike aggregate approaches, VEIL.AI operates at the individual record level, preserving granular data integrity.
Tailor anonymization to specific variables, significantly accelerating computation speed by several orders of magnitude.
Effortlessly anonymize continuous data streams and complex longitudinal data, simplifying a previously daunting task.
Anonymize data locally and seamlessly combine it later, facilitating secure inter-organization collaboration while maintaining privacy.
Empowering high-quality anonymization at a record level, including support for cases with small cohort sizes, such as rare diseases.
Tailor variable-level quality and privacy prioritization criteria to suit your specific data needs. Additionally, the option to impute missing values enhances data completeness.
Seamlessly anonymize both continuous data streams and static datasets, providing comprehensive coverage across various use cases.
Benefit from built-in tools for anonymization verification and thorough quality analyses to ensure the integrity and efficacy of the anonymized data.
VEIL.AI Anonymization Engine’s anonymized datasets have received approval from Finland’s national regulatory body, Findata, for secure release for secondary use.
Effortlessly integrate with industry-standard platforms. Compatibility with OMOP Common Data Model ensures smoother data operations.
Beyond anonymization, explore options for data pseudonymization and synthetization, broadening the spectrum of data handling capabilities.
As we continually evolve the VEIL.AI Anonymization Engine, we’re dedicated to introducing new capabilities and enhancements.
This engine operates using DataFrames for input and output, a widely recognized and versatile data structure prevalent in modern data analytics. DataFrames offer flexibility and intuitive data handling, simplifying data manipulation.
Users have complete control over the anonymization process, with the ability to prioritize variables and customize the anonymization criteria to meet specific project needs.
VEIL.AI’s architecture is designed to be robust, secure, and highly adaptable. Whether you are working in a cloud environment, on-premises, or across multiple locations, our technology is engineered to meet your needs.
VEIL.AI Anonymization Engine offers two main deployment options: as a SaaS hosted by VEIL.AI or a customer-hosted application, allowing deployment in private environments, be it on-premises or within your cloud infrastructure.
Our technology integrates smoothly with your existing systems, minimizing disruption and maximizing efficiency.
Designed to comply with major data privacy regulations, including GDPR, HIPAA and EHDS. Our technology ensures that your anonymized data meets the highest standards of privacy and legal compliance, allowing you to use and share data with confidence.
In the Bayer Future Clinical Trials, VEIL.AI’s next-generation anonymization was approved as “GDPR-free” by Findata, allowing its transfer across borders for further enrichment and innovative research.
Within the VEIL.AI hosted Anonymization Engine, you have the added option to encrypt your data pre-processing, ensuring maximum data privacy. Leveraging secure enclave technology, i.e. trusted execution environments, guarantees comprehensive privacy protection during the anonymization process, providing a secure environment for processing sensitive data.
Our partnerships with major technology companies like Snowflake enhance the functionality and reach of our technology, ensuring that you have access to the best tools and resources available.
Our collaborations with leading technology providers ensure that VEIL.AI can be easily integrated into your existing data ecosystem. This compatibility enhances your data science capabilities and ensures that your workflows remain uninterrupted.
Dive deeper into VEIL.AI’s technology through our comprehensive whitepapers, case studies, and research articles. Learn how our technology is being applied in real-world scenarios and see the results for yourself.
As 2024 draws to a close, VEIL.AI celebrates a year marked by innovation, collaboration, and significant milestones that have
As the year draws to a close, it’s the perfect moment to reflect on one of the highlights of
VEIL.AI has been selected to present at the Tech Tour AI for Health event, scheduled for 22-23 January 2025
