AI-Driven High Fidelity Data Balancing Privacy and Utility

Magics from HiFiData PDIRVER
  • Protect privacy, sensitive data, and ownership rights
  • Transform data in line with the High Fidelity Data Specification
  • Eliminate PII/PHI barriers for machine learning and AI modeling
  • Resolve production issues with secure, accurate data
  • Unlock growth opportunities and drive innovation

Products

PSD-Cleaner

Eliminates privacy-sensitive data barriers and delivers high-quality, compliant data for engineers and business managers for new feature development, production issue resolution and business analysis.

Challenges

Business managers and engineers often face significant obstacles to production data access due to privacy regulations.
Impacts includes:

  • Software Engineers: Slowed resolution of production issues due to lack of access to real data.
  • Quality Assurance Engineers: Inability to accurately test applications in real-world scenarios
  • Business Managers: Difficulty gaining insights into application usage and performance.

PSD-Cleaner Solutions

PSD-Cleaner - a streamlined solution for generating regulation-compliant, high-fidelity data

  • Bring real world scenerios into engineering: PSD-Cleaner can encode production data into lower environment for product development and quality assurance without compromising privacy.
  • Automatic and On-Demand Processing: Improve effectiveness and efficiency of problem solving and engineering productity without waiting for data access approval.
  • Implementation Support: HiFiData can assist in integrating our solutions in your architecture, ensuring a smooth deployment.

PSD-Cleaner offers several benefits including:

  • Requires no Database Structure or schema changes, making integration easy
  • Preserves Integrity of Data and its Format: UI design, test scripts and validation rules remain unaffected
  • Automated and Transparent: reduces manual effort and improves productivity

These examples showcase the diverse applications of the PDI product line in safeguarding sensitive information, enabling secure data sharing, and maintaining data integrity. And demonstrate the versatility and effectiveness of the PDI product line in addressing diverse data privacy and security needs.

  • Rapid Production Troubleshooting with PSD-Cleaner
In fast-paced production environments, engineers, architects, and project managers often face critical issues that demand immediate attention and resolution. When dealing with complex systems, having access to accurate and realistic data is crucial for diagnosing and fixing problems quickly. However, directly using raw production data poses significant privacy risks, especially when sensitive information such as Social Security Numbers (SSNs) is involved.

PSD-Cleaner addresses this challenge by providing a solution that transforms production data while preserving the integrities of visual, population, statistical, and ownership, as defined in the high-fidelity specification. For example, PSD-Cleaner can encode SSNs in a way that retains the data's format and usability while ensuring it cannot be traced back to the original individuals. This transformation allows engineers and project managers to analyze and troubleshoot production issues using data that behaves just like the original, but without the risk of exposing sensitive information.

By preserving these key integrities, PSD-Cleaner ensures that the transformed data remains highly realistic and reliable for debugging and issue resolution. This means that even under pressure, teams can work with confidence, knowing that the data they are using is both safe and accurate, leading to faster and more effective problem-solving.


  • Data Warehouse Integration for User Behavior Analysis
Product managers, data analysts, and market analysts often rely on detailed production data to gain insights into user behavior and product feature usage. However, this data frequently includes sensitive information, such as email, that must be handled with care to protect user privacy and comply with regulations. PSD-Cleaner provides a solution by transforming production data while preserving the integrities of visual, population, statistical, and ownership, as defined in the high-fidelity specification. This ensures that the data remains safe for analysis without compromising its integrity.

For example, when preparing data for user behavior analysis, PSD-Cleaner can encode various privacy data like email and/or phone from production datasets, maintaining their format. This transformed data can then be integrated into a data warehouse, allowing analysts to perform in-depth analyses on user interactions and product performance. The encoded email and/or phone remain useful for segmentation, trend analysis, and performance tracking, ensuring that insights are both accurate and privacy-compliant.

By leveraging PSD-Cleaner, product managers and analysts can confidently explore user behavior and market trends, leading to more informed decisions and effective strategies, all while maintaining strict adherence to data privacy standards.

RG-Amplifier

Quickly grab the potentials, insight and growth points by amplifing data usage while ensuring privacy and ownership are fully protected.

Challenges

In the era of AI and machine learning, organizations face significant challenges related to data privacy and ownership:

  • Common solutions for de-identifying privacy-sensitive data often fail to preserve essential statistical characteristics
  • Privacy and sensitive data concerns restrict how data can be used, reducing its value for driving business insights
  • Integrating data across departments can cause serious concerns due to privacy regulations and potential loss of data ownership

RG-Amplifier Solutions

RG-Amplifier - catalyst for maximizing data usage and value, contributing directly to your revenue and growth by eliminating privacy and sensitive data protection concerns

  • Opportunity Discovery
  • Privacy and sensitive data de-sensitization with PDIVER
  • Securly share and integrate data across organizations

RG-Amplifier provides full ownership control of your data and enables you explore growth opportunities

  • Preserve all statistical characteristics, data format, size, and "Look & Feel," ensuring that data remains useful for analysis and decision-making
  • Total ownership control of data guarantees you can control how and where your data is used
  • Safe Data Sharing enables organizations to share and integrate data without compromising privacy or ownership

RG-Amplifier not only ensures data privacy and ownership but also serves as a catalyst for uncovering new growth opportunities, driving innovation, and constructing a more collaborative and profitable business environment.

  • Transforming CSV Files from Different Departments within One Company
In large organizations, data often remains siloed across departments, limiting comprehensive analysis and strategic decision-making. The ability to securely merge and analyze data from different departments unlocks new insights, driving informed decision-making and creating a more data-driven culture. This cross-functional analysis can reveal untapped growth opportunities, optimize marketing strategies, enhance customer engagement, and ultimately contribute to increased revenue growth for the company.

For example, the marketing, sales, and customer support teams may each maintain their own CSV files with critical data like customer information, sales figures, and support tickets. However, privacy-sensitive data such as email, phone, transaction details, and customer feedback present significant challenges to sharing and analyzing this data.

RG-Amplifier solves these challenges by transforming/pdiving privacy-sensitive data from different sources into a unified, privacy-proof dataset including customer identities and campaign strategies while enabling strategic collaboration across departments. By incorporating a joint salt, RG-Amplifier ensures that no department can access or use the pdived data for extended purposes without the consent of the others. This approach preserves data integrity and ownership rights while enabling secure cross-department analysis.


  • Transforming and Encoding Database Tables from Different Companies
In today’s competitive market, collaboration between companies can open up new avenues for growth. However, exchanging privacy-sensitive data (such as customer demographics, transaction histories, and business performance metrics) requires robust security measures to prevent unauthorized access or misuse.

RG-Amplifier provides a secure solution, enabling companies to combine and analyze their data securely. This facilitates the discovery of valuable insights that might otherwise remain hidden. These insights can lead to the development of new products, optimized business strategies, and enhanced customer experiences. The ability to perform cross-company analysis not only drives innovation but also creates opportunities for new business ventures, partnerships, and revenue streams, significantly contributing to the long-term growth potential of all companies involved.

For example, after pdiving/transforming sensitive patient information in healthcare records, such as names and addresses, from healthcare records for predictive analytics, the pdived dataset te allows data scientists to develop models for patient medication adherence while protecting individual privacy.

Using a joint salt, RG-Amplifier ensures that each company involved retains control over its data, preventing any party from using the pdived dataset without authorization. This framework of mutual trust brings up a secure environment for collaboration, distinctly different from traditional data-sharing agreements.

PSD-Cloaker

Transforms privacy governance policies into well-defined, automated processes

Challenges

Enterprises face numerous challenges in protecting privacy and sensitive data within their IT infrastructure:

  • Lack of Affordable and Flexible Solutions: Existing solutions often fail to provide the necessary flexibility and affordability to address effectively privacy concerns.
  • Unintentional Data Exposure: Businesses may unknowingly expose privacy-sensitive data by sending files, such as emails or office documents, to external organizations, potentially leading to privacy breaches.
  • Enforcing privacy governance across systems and processes is often complex and challenging

PSD-Cloaker Solutions

PSD-Cloaker provides a flexible, transparent, and easy way to implement SDK that can address all privacy and data sensitivity concerns at the sources

  • Protect privacy-sensitive data across various platforms, including:
    • Various logs
    • Messaging systems
    • Internal communications (emails, chats, document exchanges)
    • Security monitoring systems
  • HiFiData provides expert services to design and implement robust privacy and sensitive data protection mechanisms, tailored to your organization’s needs.

PSD-Cloaker enables enterprises to protect privacy-sensitive data across all systems and files

  • Realizes privacy governance policies through well-defined, automated processes that are easy to implement and manage
  • End-to-End Protection: Ensures privacy governance within and across applications, safeguarding databases and text/tabular files
  • User Transparency: Operates seamlessly, with minimal disruption to end users and engineers

PSD-Cloaker can be a crucial tool for maintaining privacy and security in various operational contexts, providing peace of mind to security engineers, DevOps teams, and managers by transforming privacy rules and policies into actionable governance processes.

  • Pdiving Privacy-Sensitive Data in Log Files
Security engineers and DevOps teams frequently work with extensive log files that may contain sensitive data, such as user identifiers, IP addresses, and sometimes even sensitive login credentials. The inclusion of such data in log files poses a significant risk, as unauthorized access or inadvertent sharing of these logs could lead to severe privacy breaches, regulatory violations, and damage to the organization's reputation.

PSD-Cloaker offers a robust solution by pdiving privacy-sensitive data within these log files before they are stored, shared, or analyzed. By integrating PSD-Cloaker's stateless RESTful API into existing workflows, engineers can protect privacy without disrupting normal operations. The API transforms sensitive data, such as IP addresses or user IDs, into non-identifiable forms while preserving the logs' utility for troubleshooting, monitoring, and auditing. This transformation is conducted with high fidelity, maintaining the visual, population, and statistical integrity of the data, ensuring the logs remain valuable for technical purposes without compromising privacy.

Incorporating PSD-Cloaker into your systems ensures that sensitive information in log files is consistently protected, reinforcing data governance and compliance with privacy regulations. This not only enhances the organization's overall security posture but also reduces engineering hours and labor costs associated with manual privacy protection


  • Pdiving Privacy-Sensitive Information in Emails and Messages
For security engineers, project managers, and DevOps teams, securing this data is paramount, especially when communications are shared across teams or with external partners. By ensuring that all sensitive data is pdived before leaving the organization’s secure environment, PSD-Cloaker helps prevent unintentional privacy leaks, ensuring compliance with privacy regulations and internal data protection standards, and maintaining organizational integrity.

Emails and messages are common places for privacy-sensitive information, such as phone numbers, names, and confidential project details. PSD-Cloaker can be seamlessly integrated into the organization's communication tools, including messaging, meeting, and file-sharing platforms, to automatically pdive sensitive content in emails and messages.

For example, before an email containing sensitive information is sent, PSD-Cloaker can transform phone numbers and addresses while preserving the visual and population integrity of the data, as defined in High Fidelity Specification. This ensures that even if communications are intercepted, accessed by unauthorized personnel, or inadvertently shared, the privacy of the individuals involved remains intact.

For security directors and DevOps engineers, PSD-Cloaker significantly enhances an organization’s security framework by providing a governed method to manage privacy-sensitive information in communications.

White Paper

High Fidelity Data

High Fidelity Data: Balancing Privacy and Usage

Explore the High Fidelity Data Specification and learn how to balance privacy and usability through visual, population, statistical, and ownership integrity.

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Further Reading:

Pdiver - Generator of High Fidelity Data

Explore Pdiver and how it follows HiFiData's High Fidelity Data Specification to generate outcomes with preserved visual, statistical, population, and ownership integrity for data analytics and AI modeling.

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Further Reading:

PDIVER

Pdiver - How it Works

In-depth guide to Pdiver covers its core operations, support for various data sources, performance metrics, and integration tools, showcasing why it’s a cutting-edge solution for secure, high-fidelity data transformation in today's data-driven world.

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Further Reading:

Pdiving vs. Encryption/Decryption

Discover how Pdiving differs from encryption, offering privacy protection by transforming sensitive data while keeping it usable without decryption.

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Further Reading:

In Action

Pdiver In Action: Clear Privacy in Logs

Discover how Pdiver desensitizes logs, balancing privacy and usability. Explore its integration patterns across local, centralized, and cloud-based logging use cases.

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Further Reading:

Pdiver in Action: Boost Performance Test with Realistic and Privacy-Safe Data

Discover how Pdiver enhances performance testing with production-like data by removing sensitive information while preserving data structure and integrity for realistic, privacy-compliant tests.

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Further Reading:

Pdiver In Action: Prevent data breach in Email

Discover how Pdiver transforms emails to prevent data breaches. Integrated with email servers and clients, Pdiver desensitizes emails in real-time, ensuring privacy compliance.

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Further Reading:

Pricing

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