Data Privacy Solution for Generative AI Applications

Advanced Data Privacy Solutions preventing confidential, sensitive data from leaking into GenAI LLMs

START UP IN INDIA

About the project

An AI-driven Indian startup needed to build a B2B SaaS Product that provided advanced Data Privacy & Protection solutions to enable their clients to adopt GenAI seamlessly. The requirements must:

Prevent Data Leakage: Safeguard private data from leaking into Large Language Models (LLMs).

Protect Against Attacks: Shield GenAI applications from jailbreaks and prompt-injection attacks.

Provide Enterprise Visibility: Provide CISOs and Heads of Privacy with tools to manage and monitor GenAI usage.

Provide Regulatory Compliance: Ensure client adherence to GDPR and India’s DPDPA.

Problem

The startup needed a comprehensive solution and a platform that:

Detect and Mask Sensitive Data: Implement AI models capable of identifying and protecting privacy-sensitive information.

Ensure Data Integrity and Compliance: Replace sensitive data with synthetic, contextually relevant data and allow for re-identification when necessary.

Enable Enterprise-Level Security: Provide tools for vulnerability checks, policy management, and attack detection.

Facilitate Compliance: Support clients in meeting GDPR and DPDPA requirements.

Solution

AI Models & Data Privacy

Privacy Detection Models: Developed SOTA AI model to identify and protect sensitive information using techniques like masking, de-identification, and anonymization.

B2B Portal

Vulnerability Management: Enabled clients to check for potential vulnerabilities and manage privacy policies.
Compliance Tools: Provided a comprehensive dashboard with insights into compliance status with GDPR and DPDPA.
Attack Detection: Integrated prompt blocking and detection mechanisms for prompt-injection attacks and jailbreaks.
Policy Management: Policy management for custom profiles and policies.
Advanced Privacy Settings: Synthetic data replacements, redaction capabilities.
Advanced Insights: Delivered visibility into enterprise-wide AI usage, with detailed reports for CISOs to monitor data flow and privacy compliance.

Client SDK

A client SDK to integrate with their AI Agents, Applications, micro-services that interact with LLMs and on their data warehouse, Cloud Storage, Files.

Implementation Strategy

Phase 1: AI Model Development:
- Built models tailored to each use case, focusing on privacy detection, synthetic data generation, and re-identification capabilities.
Phase 2: Platform Development:
- Created a scalable B2B portal with tools for vulnerability management, policy enforcement, and attack detection.
Phase 3: Compliance and Testing:
- Ensured the platform’s compliance with GDPR and DPDPA through rigorous testing and validation processes.

Technologies used

Outcomes

Enhanced Data Protection: The platform successfully prevented data leakage into LLMs and protected against emerging threats.
Regulatory Compliance: Clients were able to meet GDPR and DPDPA standards, reducing legal risks.
Increased Enterprise Control: CISOs and Heads of Privacy gained comprehensive tools for monitoring and managing AI usage across their organizations.