AI-enabled data security solution

Ascend is an innovative solution designed to address the growing challenges organizations face when handling sensitive data. With increasing data privacy, security & governance regulations and the continuous growth of sensitive data volumes, Ascend offers a unique Data DNA approach that allows the use of sensitive data without compromising privacy or security. Ascend reduces costs associated with data storage and transfer. Moreover, it enhances data quality through advanced data curation features, further reducing costs.

Challenges

Privacy / Security : Privacy/Security laws restrict the use of sensitive data, hindering valueable insights.
Data Sharing : Companies are reluctant to share sensitive data, limiting data-driven decisions
Data Quality : The massive volume and variety of data overwhelm traditional quality control, complicating accuracy checks
Cost of Data Growth : Rising costs of storing and transferring large data volumes increase overall expenses

Create a DataDNA solution for data-intensive enterprises.
Enable enterprises to leverage and share sensitive production data.
Allow sharing of data internally and with global business partners.
Support analytics, research, and design processes with shared data.
Ensure data privacy, security, and governance are not compromised during sharing.

BI Vendors : Ensuring risk-free privacy and security operations.
Data Sharing : Securely share data with intelligent, hallucination-free, statistics-based synthetic data generation.
Cost Efficiency : Reduce data transfer and storage costs for more cost-efficient operations.
Data De-ID and Scaling : De-ID and scale datasets for efficient AI/ML training and analytics while ensuring privacy with synthesized data.

Data De-Identification: Anonymize sensitive data for secure, irreversible synthetic data generation, ensuring trans-border compliance.
Privacy/Security: Safe and secure data sharing.
Reduce Costs: Reduce operational cost.
Scalable Data: Generate to scale, data on demand.
Feature Engineering: Optimize ML models with variable transformation and feature scaling to prevent dominance.
Quick Data Transfer: Faster and efficient data transfers.
Data Curation: Optimize big data for reliability and accuracy in predictive models by enhancing data quality.
Data Profiling: Evaluate data preparedness for business intelligence by examining patterns, anomalies, and quality.

Data Privacy and Security: Single platform with two intertwined branches offering complete data privacy and security.
Big Data Profiling, Analytics, and Curation for AI/ML: Enables optimized AI/ML models through data profiling and curation.
Hallucination-Free Insights: Preserves original data insights with hallucination-free processing.
Optimized Data Size: Orders of magnitude smaller than actual data for optimized storage and portability.
Fully Obfuscated File: Fully obfuscated file with no ability to decode and restore the original data.

Healthcare: Clinical trial data, PHI data, patient demographics data, etc.
Finance: Credit card data, transaction records, etc.
Insurance: Claims data, policyholder data, etc.
Tech Companies: Customer PII data for app development and lower environment R&D.
Retail/E-Commerce: User behavior data, customer purchase histories, etc.
Environmental Science: Climate data, pollution data, etc.
Pharmaceuticals: Drug trial data, patient data, etc.
Telecom: Network traffic data, call record data, location data, etc.

Easy Integration: Empower seamless automation via REST APIs, fostering effortless integration with third-party tools within our ecosystem.
Flexible Deployment: This solution seamlessly adapts to various environments, from public and private clouds to hybrid setups, and it is even deployable on-premise for maximum flexibility.
Highly Performant: Enhanced efficiency through multi-threaded processing, parallel dataset handling, and expedited export/download options for multiple files.

1. Implementation

2. Support

3. Usage

4. Licensing