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Data modernization is crucial but challenging due to privacy and security concerns around using production data. Jarvis MirageAI® solves this by using synthetic data, allowing secure testing and migration without touching sensitive information.

Data modernization is crucial but challenging due to privacy and security concerns around using production data. Jarvis MirageAI® solves this by using synthetic data, allowing secure testing and migration without touching sensitive information.

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Edward Wang Denton Cockburn

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Jarvis MirageAI®


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Data & AI Digital Transformation


Introduction

Data modernization is a key driver of innovation, efficiency, and competitive advantage. However, one of the biggest challenges organizations face during this transformation is the need to develop, test, and migrate systems without access to sensitive production data. Whether it’s due to privacy regulations, data security policies, or operational constraints, companies across industries must find ways to modernize their data infrastructure while maintaining the highest standards of security and compliance.

This is where MirageAI®, developed by Jarvis, offers a game-changing solution. By leveraging synthetic data and a suite of advanced features, MirageAI enables organizations to innovate at scale without compromising sensitive information. The platform addresses the most pressing challenges in data modernization, providing a secure and efficient way to test, validate, and migrate systems—without ever touching production data.

Data Modernization without Production Data

Modernizing data platforms, whether migrating to the cloud, upgrading legacy systems, or implementing new analytics tools, requires extensive testing and development. Traditionally, this process involves using production data to ensure that systems can handle real-world scenarios. However, using sensitive production data poses significant risks:

  • Privacy Concerns: With the growing emphasis on data privacy regulations like GDPR, HIPAA, and CCPA, using real-world data during testing or development exposes organizations to legal and compliance risks, especially when handling personally identifiable information (PII) or proprietary business data.

  • Security Risks: Using production data in non-production environments can increase the risk of data breaches and unauthorized access, compromising sensitive customer or corporate information.

  • Data Availability: Sometimes, production data is simply not available for testing due to resource limitations or operational constraints, making it difficult to simulate real-world conditions accurately.

These challenges are not unique to any single industry—whether in financial services, healthcare, telecommunications, retail, or government, organizations across sectors must navigate these issues during their digital transformation efforts.

The MirageAI Solution: Secure and Scalable Modernization

MirageAI offers a comprehensive solution for organizations grappling with the challenge of modernizing systems without access to production data. By generating high-fidelity synthetic data and offering a suite of advanced tools, MirageAI enables businesses to develop, test, and migrate their data platforms securely and efficiently, while maintaining compliance with the most stringent data protection regulations.

Here’s how MirageAI’s four core features can help organizations modernize their data infrastructure without compromising security:

1. Synthetic Data Generation

At the heart of MirageAI is its Synthetic Data Generator, which creates artificial data that mirrors the structural and statistical properties of real-world data—without containing any sensitive information. This synthetic data is completely anonymized, ensuring that no personal or proprietary data is exposed during testing or development processes.

  • Privacy and Security Guaranteed: Since synthetic data does not contain any real-world PII or sensitive information, organizations can perform large-scale testing and development without risking privacy breaches or non-compliance with data protection laws.

  • On-Demand Data Generation: MirageAI can generate synthetic data at scale, allowing teams to simulate millions of transactions or interactions in real-world conditions, ensuring systems can handle peak loads and edge cases.

2. Data Integrity Validator: Ensuring Accuracy and Compliance

Another critical feature of MirageAI is its Data Integrity Validator, which ensures that data pipelines and processes are functioning as expected. The validator compares the output of data pipelines against predefined benchmarks, ensuring that the results are accurate and compliant with business rules.

  • Continuous Testing with CI/CD Integration: The Data Integrity Validator can be integrated into the CI/CD pipeline, enabling continuous testing and validation of systems as they are updated or modified. This ensures that errors are detected early and that only thoroughly validated jobs are deployed to production.

  • Compliance Assurance: By validating the accuracy of data processes, organizations can ensure that their systems meet not only internal quality standards but also external compliance requirements.

3. Data Sanitizer: Safeguarding Sensitive Data

In addition to generating synthetic data, MirageAI also offers a Data Sanitizer feature for organizations that prefer to work with real-world data but need to protect sensitive information. Using advanced anonymization, masking, and data replacement techniques, the Data Sanitizer removes any privacy risks from production data.

  • Cutting-Edge Privacy Protection: The Data Sanitizer uses techniques like masking, replacement, and anonymization to remove PII and other sensitive data from production datasets, ensuring that privacy risks are fully mitigated.

  • Scalable Data Sanitization: This feature allows companies to sanitize massive datasets at scale, so they can still leverage real-world data for testing and development without compromising security or compliance.

4. Data Pipeline Management: End-to-End Automation

MirageAI also offers a Data Pipeline Management feature, allowing organizations to seamlessly manage the entire lifecycle of data processing—from synthetic data generation to validation, sanitization, and testing. This feature enables clients to pipeline together the synthetic data generator, data integrity validator, and data sanitizer into a fully automated, end-to-end pipeline.

  • Streamlined Automation: By automating the entire data pipeline, organizations can significantly reduce manual effort and operational complexity. This ensures that data flows smoothly through each stage of testing and validation, with minimal intervention required.

  • Easy Integration: The Data Pipeline Management feature integrates seamlessly with existing tools and workflows, allowing organizations to maintain flexibility while optimizing efficiency.

Testing, Development, and Migration at Scale

MirageAI’s suite of features allows organizations to tackle large-scale data modernization efforts securely and efficiently. Here are some key benefits:

  • Simulating Massive Data Volumes: MirageAI enables businesses to simulate high data volumes under real-world conditions, ensuring that platforms can handle peak loads and meet critical performance benchmarks.

  • Edge Case Testing: By generating synthetic data for a wide variety of scenarios, including rare edge cases, MirageAI ensures that systems are robust and capable of handling all types of data interactions.

  • Secure Migrations: With MirageAI, organizations can perform data migrations securely by testing with synthetic or sanitized data, ensuring that sensitive production data is never exposed during the migration process.

  • Faster Time-to-Test: With automated data generation and pipeline management, testing processes can be completed more quickly, reducing time-to-market for new systems and features.


"MirageAI empowers organizations to innovate securely with synthetic data, enabling seamless testing and migration without compromising sensitive information. Experience efficient data modernization while ensuring compliance and privacy."


A Proven Track Record: Real-World Success with MirageAI

MirageAI has consistently helped organizations overcome complex challenges, from regulatory compliance to large-scale cloud migrations, delivering measurable improvements in performance, accuracy, and cost efficiency.

Success Story: Optimizing Anti-Money Laundering Algorithm at Scale

One global financial institution faced the challenge of transitioning to a new regulatory reporting system in compliance with updated anti-money laundering requirements. The institution needed to develop and test an AML algorithm that performs trillions of searches daily but accessing production data is impossible due to security reasons.

By leveraging synthetic data and MirageAI’s full suite of features, the institution was able to:

  • Reduce algorithm processing time from days to 90 minutes, significantly improving system performance.

  • Boost accuracy from 52%, reducing the need for manual intervention and ensuring higher reliability.

Success Story: Expedite Data Migration to the Cloud

Another team from the same financial institution faced the challenge of securely migrating over 220 ETL jobs as part of a larger cloud migration project, all while complying with strict internal security policies that prohibited access to production data. These ETL jobs were critical for monitoring inside risks, such as unauthorized employee access to sensitive data.

By implementing MirageAI, the institution was able to:

  • Securely test over 220 ETL jobs using synthetic data, ensuring data privacy.

  • Meet inside risk policy changes by continuously updating ETL jobs, and improving development agility.

  • Ensure long-term scalability for future data migrations and modernization efforts.

Future-Proofing Your Data Modernization Efforts

Data modernization is not a one-time project—it’s an ongoing journey that requires continuous optimization and adaptation to new technologies, regulations, and market conditions. MirageAI is designed to help organizations future-proof their data transformation efforts by providing a scalable, secure, and efficient solution for testing, development, and migration.

Whether you’re migrating to the cloud, building new applications, or optimizing legacy systems, MirageAI enables you to do so confidently, without compromising on data privacy or security.

Unlock the Power of MirageAI for Your Digital Transformation

In a world where data-driven innovation is critical to staying competitive, organizations can no longer afford to let privacy and security concerns stall their progress. MirageAI provides a powerful, industry-agnostic solution that allows businesses to modernize their systems, test at scale, and ensure compliance—all without ever needing access to sensitive production data.

Ready to take the next step in your digital transformation journey? Contact Jarvis today to learn how MirageAI can help you achieve your data modernization goals while maintaining the highest standards of security and privacy.

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© 2024 Jarvis Consulting Group. All Rights Reserved.

Let's Innovate. Empower.
Impact. Together.

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© 2024 Jarvis Consulting Group. All Rights Reserved.

Let's Innovate. Empower.
Impact. Together.

Gain access to exclusive insights & events.

Subscribe to updates

© 2024 Jarvis Consulting Group. All Rights Reserved.

Let's Innovate. Empower.
Impact. Together.

Gain access to exclusive insights & events.

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© 2024 Jarvis Consulting Group. All Rights Reserved.