Data management platform that speaks the language of mid-market companies

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AI-Driven Profiler
& Classifier

Discover and Protect Sensitive Data, Effortlessly

Faasera’s AI-Driven Profiler & Classifier revolutionizes the way businesses uncover and secure sensitive information, including PII (Personally Identifiable Information), PCI (Payment Card Information), and other critical data elements.

By leveraging context-aware machine learning models, advanced checksum validation, and sophisticated pattern recognition, Faasera identifies over 70+ entity types, encompassing both direct and quasi-identifiers with unmatched precision and efficiency.

What sets Faasera apart? It seamlessly integrates profiling into the masking pipeline, delivering real-time detection and anonymization without additional overhead. Whether you need to screen data flows on the go or generate detailed profiling reports for compliance, Faasera adapts to your needs.

Key Benefits

Unparalleled Data Discovery

  • Detects over 70+ sensitive entity types, including PII, PHI, PCI, and more.
  • Identifies complex patterns, such as Social Security Numbers, credit card data, and quasi-identifiers, with unmatched accuracy.

Built-in Compliance Rules

  • Predefined rule sets for major regulations, including GDPR, HIPAA, CPRA, PDPA, and more.
  • Adaptable to regional and industry-specific compliance requirements.

Contextually Aware Classification

  • Understands data context using advanced ML models to distinguish between ambiguous values (e.g., "John Doe" as a name vs. "Doe" as a product code).
  • Combines context, checksum validation, and pattern matching for precise classification.

Customizable Detection Rules

Supports user-defined rules for specialized data types unique to your organization or industry.

Integrated Masking Pipeline

  • Enables real-time profiling and anonymization without the need for separate tools or workflows.
  • Traditional scan options available for detailed reports on sensitive data sources.

Use Cases

PII Screening in Data Flows

  • Deploy Faasera as a filter in your pipelines to identify and anonymize sensitive data in real time.
  • Example: Automatically detect and mask credit card data during ETL workflows.

Regulatory Compliance Reporting

  • Generate detailed profiling reports for audits and compliance reviews.
  • Example: Quickly identify GDPR-regulated data fields across multiple databases.

Responsible AI and ML

  • Ensure training datasets are free from sensitive identifiers by anonymizing or masking PII and PHI.
  • Example: Screen medical datasets for HIPAA compliance before AI model training.

Enterprise Data Governance

  • Build a centralized inventory of sensitive data with tags mapped to compliance rules.
  • Example: Classify and manage data fields to enforce access controls.

Regulations Covered

Faasera ensures compliance with a wide range of regulations, including:

‍

  • GDPR (General Data Protection Regulation)
  • CPRA (California Privacy Rights Act)
  • PDPA (Personal Data Protection Act)
  • HIPAA (Health Insurance Portability and Accountability Act)
  • PHI, PII, PCI.

Ready to simplify compliance and safeguard sensitive data?

Discover how Faasera’s AI-Driven Profiler & Classifier can revolutionize your data workflows.

Request a demo today!

Realtime Masking /
Data Anonymization

Seamlessly Secure Sensitive Data Across All Platforms

Faasera’s Dynamic Masking and Data Anonymization empowers businesses to protect sensitive information while maintaining operational integrity and compliance.

Designed for real-time and batch processing, this feature ensures sensitive data is transformed into production-like values that are both irreversibly anonymized and contextually consistent across all data sources, including databases, files, APIs, and mainframes.

Key Capabilities

Built-in Profiler for Automated Detection

  • Automatically detects sensitive data in real-time data streams, ensuring instant masking without manual intervention.
  • Works seamlessly with Faasera’s AI-Driven Profiler to identify over 70+ entity types for masking.

Extensive Masking Functions

  • Offers over 100+ pre-configured masking functions, automatically assigned by the profiler or customizable for specific use cases.
  • Examples: Masking names, credit card numbers, social security numbers, and even custom data types.

Deterministic, Context-Aware Masking

  • Ensures referential integrity by consistently replacing the same sensitive values (e.g., "John" becomes "Chris") across all data sources and environments, regardless of where the data resides.
  • Produces realistic, production-like data that preserves its structure and usability for downstream applications and workflows.

Lightning-Fast Performance

  • Processes multi-million rows per minute or more, enabling scalability for even the largest enterprise datasets.
  • Suitable for real-time, high-velocity data streams and large batch operations.

Format Preservation

  • Maintains the original data structure, format, and length.
  • Traditional scan options available for detailed reports on sensitive data sources.
  • Ensures masked data integrates seamlessly with target applications or systems without disruption.

Flexible Adaptability

Deploy Faasera’s masking capability across diverse environments using:

  • SDK: Integrate directly with custom applications or data pipelines.
  • Cloud-Native Functions: Compatible with AWS Lambda, Azure Functions, and Google Cloud Functions.
  • Plugins for Orchestrators: Out-of-the-box compatibility with Azure Data Factory, Apache Airflow, and Apache NiFi.
  • REST API Containers: Deploy anywhere, from on-premises to Kubernetes environments.

Key Benefits

Enhanced Security

  • Irreversible masking ensures sensitive data cannot be reverse-engineered or reconstructed.
  • Safeguards compliance with regulations like GDPR, HIPAA, CCPA, and PDPA.

Efficiency and Speed

  • Handles high-volume datasets with unparalleled speed, ensuring minimal impact on processing timelines.

Operational Consistency

  • Maintains data relationships and referential integrity across all systems, preserving downstream functionality.
  • Example: A masked customer ID in one system matches its corresponding masked value in other connected systems.

Seamless Integration

  • Fits effortlessly into existing workflows, whether on cloud, on-premises, or in hybrid environments.

Use Cases

Real-Time Data Protection

  • Mask sensitive data as it flows through APIs, data streams, or ETL pipelines.
  • Example: Mask PII in customer transaction logs in real time for secure processing.

Test Data Management

  • Generate anonymized, production-like data for testing environments while preserving referential integrity.
  • Example: Mask production data before sharing with development teams to prevent leaks.

Cloud
Migration

  • Anonymize sensitive data during migration to cloud platforms to meet compliance standards.
  • Example: Mask customer records while transferring from on-prem databases to Snowflake or AWS.

Data Sharing with Third Parties

  • Protect sensitive fields before sharing data with partners or external teams.
  • Example: Share anonymized healthcare datasets with researchers while complying with HIPAA regulations.

How It Works

1

Automated Detection

Sensitive data is identified automatically using Faasera’s built-in profiler.

2

Rule Assignment

Masking functions are assigned based on default or user-defined rules.

3

Format Preservation

Masked data retains its original structure, ensuring compatibility with downstream systems.

4

Real-Time or Batch Processing

With Faasera, businesses can ensure compliance with data privacy regulations

5

Seamless Deployment

Leverage SDKs, cloud-native functions, or plugins for easy integration.

Protect sensitive data in real time while preserving operational integrity.

Discover how Faasera’s Dynamic Masking can transform your data workflows.
Ready to mask smarter? Request a demo today.

Request a demo

AI-Powered Data Generation

Create Secure, Realistic Data for Complex Workflows

Faasera’s AI-Powered Data Generation provides an innovative solution for generating realistic, production-like synthetic data tailored to your organization’s needs. Designed to support complex relational workflows and diverse data environments, this feature eliminates the need to mask or protect existing sensitive data by generating entirely new datasets based on user-defined business rules.

Designed for relational workflows, mainframe systems, integration environments, and AI/ML pipelines, Faasera eliminates the need to access or mask production data, providing a seamless solution for generating referentially intact, regulation-compliant datasets based on user-defined business rules.

Key Capabilities

Over 70+ Synthetic Functions

  • Automatically detects sensitive data in real-time data streams, ensuring instant masking without manual intervention.
  • Works seamlessly with Faasera’s AI-Driven Profiler to identify over 70+ entity types for masking.

Flexibility and Adaptability

  • Offers over 100+ pre-configured masking functions, automatically assigned by the profiler or customizable for specific use cases.
  • Examples: Masking names, credit card numbers, social security numbers, and even custom data types.

Generate Referential Data

  • Ensures referential integrity by consistently replacing the same sensitive values (e.g., "John" becomes "Chris") across all data sources and environments, regardless of where the data resides.
  • Produces realistic, production-like data that preserves its structure and usability for downstream applications and workflows.

Business Rule-Based Generation

  • Processes multi-million rows per minute or more, enabling scalability for even the largest enterprise datasets.
  • Suitable for real-time, high-velocity data streams and large batch operations.

Support for Diverse Formats

  • Maintains the original data structure, format, and length.
  • Traditional scan options available for detailed reports on sensitive data sources.
  • Ensures masked data integrates seamlessly with target applications or systems without disruption.

Why Choose Faasera for Data Generation?

Eliminate Data Security Risks

  • Avoid the need to access or mask sensitive data by generating entirely new datasets.
  • Ensures compliance with privacy regulations like GDPR, HIPAA, and CCPA.

Preserve Data Relationships

  • Generate EBCDIC binary data to replicate legacy systems for testing or migration projects.
  • Example: Create synthetic COBOL datasets for a mainframe ETL pipeline.

Adaptable Across Environments

  • Supports legacy systems (e.g., mainframe EBCDIC data) and modern data platforms (e.g., Parquet, JSON).

Accelerate Testing and Development

  • Quickly generate high-quality, production-like datasets for testing, development, and integration environments.

Use Cases

Testing Relational Database Workflows

  • Generate datasets with accurate parent-child relationships for integration and performance testing.
  • Example: Populate customer and order tables with realistic yet non-sensitive data for ERP testing.

Simulating Mainframe Environments

  • Generate EBCDIC binary data to replicate legacy systems for testing or migration projects.
  • Example: Create synthetic COBOL datasets for a mainframe ETL pipeline.

Cloud
Migration

  • Generate Parquet, JSON, or CSV files for cloud migration projects without risking sensitive production data.
  • Example: Create synthetic healthcare records to validate analytics pipelines in AWS or Snowflake.

Integration Testing

  • Populate integration environments with consistent, referential data to test workflows and APIs.
  • Example: Generate XML and JSON data files for B2B API testing.

How It Works

1

Define Rules

Specify your data generation requirements, such as formats, relationships, and distribution patterns.

2

Select Output

Choose your desired data format (e.g., EBCDIC, Parquet, JSON) and target environment (e.g., database, file, or API).

3

Generate Data

Faasera’s engine generates realistic, referentially intact datasets at lightning speed.

4

Deploy or Export

Use the generated data in your workflows, integration environments, or testing pipelines.

Technical Highlights

Scalability

Generates millions of records per minute, scaling effortlessly for enterprise needs.

Customizable

Supports user-defined templates and rules for unique scenarios.

Platform Agnostic

Works across legacy, on-premises, and cloud-native environments.

Ready to generate secure, realistic data tailored to your needs?

Discover Faasera’s AI-Powered Data Generation today!

Request a demo

Schema Change
and Anomaly Detection

Stay Proactive with Intelligent Schema Monitoring and Anomaly Detection

Faasera’s Schema Change and Anomaly Detection feature provides organizations with real-time monitoring of database structures and data behavior. Designed to detect schema modifications and unusual data patterns automatically, this feature ensures seamless operations, robust compliance, and consistent data quality across environments.

By combining schema monitoring with AI-powered anomaly detection, Faasera helps businesses identify potential issues before they escalate, reducing downtime and improving decision-making.

Key Capabilities

Real-Time Schema Change Detection

  • Automatically tracks structural changes in databases, including:
    - Added, removed, or modified columns.
    - Alterations in data types, constraints, and relationships.
    - Updates to indexes, triggers, or keys.
  • Works across relational, non-relational, and hybrid database environments.

AI-Driven Anomaly Detection

  • Continuously monitors data to identify irregular patterns or outliers, such as:
    - Unexpected spikes or drops in data values.
    - Data mismatches or inconsistencies across columns.
    - Unusual record insertions, deletions, or updates.
  • Uses contextual analysis to differentiate anomalies from expected changes.

Stay ahead of schema changes and data anomalies.

Ensure seamless workflows and compliance with Faasera’s intelligent monitoring capabilities. Request a Demo Today!

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