Antigranular Enterprise (AGENT)
Unlock the Full Potential of Your Data — Securely
Balancing Data Utilisation with Privacy & Compliance
Organisations generate vast amounts of sensitive data—customer records, financial transactions, healthcare insights — but privacy concerns and regulatory restrictions prevent them from fully leveraging this data.
Traditional methods
Traditional methods like data masking, tokenization, and synthetic data provide some protection but often come with major trade-offs:
Data masking & tokenization reduce exposure but don't protect against re-identification attacks.
Synthetic data mimics real datasets but lacks fidelity for deeper insights.
As a result
Businesses struggle to extract value from their data while ensuring compliance with GDPR, HIPAA, CCPA, and other regulations.
Antigranular Enterprise (AGENT): Privacy-First Data Collaboration
AGENT is a cutting-edge, scalable platform that integrates Differential Privacy (DP) to enable secure, privacy-preserving data analytics — without exposing raw data. It allows data scientists and machine learning models to work on sensitive data without compromising individual privacy.
How AGENT Works
AGENT operates as a middleware layer between your data sources and users, applying real-time privacy protection — without disrupting workflows.
1
Privacy-Preserving Analytics
True Differential Privacy ensures that queries only reveal aggregate insights—never individual data points.
Prevents re-identification: Even in complex datasets, attackers cannot trace results back to specific individuals.
2
Regulatory Compliance & Auditability
Meets global privacy standards (GDPR, CCPA, HIPAA) with built-in compliance frameworks.
Complete query logging & privacy budget tracking for full transparency in audits.
3
Seamless Integration & Scalability
Python & SQL interfaces: Works within Jupyter Notebooks and SQL clients without disrupting existing workflows.
Enterprise-grade performance: Scales across cloud environments, supporting distributed teams and large datasets.
Pre-built connectors: Works with Snowflake, Salesforce, and other enterprise platforms via API integration.
Built for Your Current Stack
Enhancing data privacy doesn’t require re-engineering your workflows. AGENT integrates directly with your existing infrastructure, allowing data scientists to utilize it immediately, meaning no modifications are required to SQL queries or Jupyter Notebooks.
Users can annotate sensitive data cells with %%ag in Jupyter for automatic DP enforcement.
The interface queries sensitive datasets securely via a standard JDBC connector, dynamically applying DP safeguards.
Secure Data Collaboration
Enable multiple teams — or even different organisations — to analyze shared datasets without exposing raw data. Allow marketing, finance, and product teams to analyze customer trends without exposing raw data. Share valuable insights between partner companies, healthcare institutions, or research organisations without risking data leaks.
External Reporting
Generate GDPR- & HIPAA-compliant reports without compromising privacy. Ensure regulatory compliance without manual anonymization or redaction. Provide secure financial reporting or protecting patient confidentiality while sharing critical research findings. Maintain logs of all queries and privacy budgets to demonstrate compliance during audits.
Machine Learning on Sensitive Data
Train AI models on customer data without risk of exposing personal details. Allow different organisations to collaborate on AI development without sharing raw data and ensure that each training iteration maintains privacy through dynamic privacy budget allocation.
Offshore Team Enablement
Allow offshore teams to access critical data without violating cross-border privacy laws, ensuring they see only what they need. Offshore teams can perform analytics without ever seeing row-level data, which reduces legal risk and minimizes exposure to penalties.
Enterprise Features (AGENT)
Enhanced Scalability
Optimized for large enterprises with multi-tenant environments.
Handles complex team structures and query processing at scale.
Seamless Enterprise Integration
Pre-built connectors for Snowflake, Salesforce, and more.
API-first design for custom tool integration.
Customisable Privacy Budgets
Tailor privacy settings to specific regulatory & organisational requirements.
Dynamically adjust privacy controls without disrupting analytics workflows.
Why Choose AGENT?
Turn Privacy Compliance into a Competitive Advantage
Meet regulatory requirements while continuing to extract business value from your data.
Boost Trust & Security Without Compromising Insights
Gain deep analytics while ensuring customer and enterprise data remains protected.
Get Started with Minimal Disruption
No changes needed to existing SQL or Jupyter workflows—plug it in and go.