Privasapien offers the PERAI platform, a full-stack solution for embedding privacy, security, fairness, and explainability across the data and AI lifecycle. The platform provides tools for verifiable consent management, PII risk assessment, Privacy Enhancing Technologies (PETs) like anonymization and synthetic data generation, and Responsible AI governance. This comprehensive suite helps enterprises manage data protection regulations and deploy ethical AI systems securely.
Funding
$990K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
GFFounders
Product
Problem
Enterprises face challenges in managing privacy risks associated with data processing and AI model training, particularly with unstructured data. Ensuring compliance with regulations like GDPR while maintaining data utility for collaboration and value creation is complex and requires specialized tools. Traditional methods often fail to provide real-time monitoring and proactive prevention of data breaches.
Solution
PrivaSapien offers a Privacy Enhancing and Responsible AI (PERAI) platform designed to visualize privacy risks and ensure regulatory compliance. The platform uses technologies like Privacy X-Ray and Event Horizon, along with advanced data anonymization techniques, to mitigate risks across the entire data and AI lifecycle. By integrating real-time monitoring, adversarial attack detection, and governance frameworks, PrivaSapien helps organizations maintain data security and ethical AI operations. The platform's Privacy Threat Modelling (PTM) feature offers real-time detection, risk simulation, and AI-driven PII analysis to prevent data breaches, while Privacy Enhancing Technologies (PETs) balance privacy with data usability through anonymization and encryption.
Target Audience
The primary target audience includes enterprises across various industries that handle sensitive data and develop AI models, particularly those in regulated sectors requiring robust privacy and compliance measures.
Features
- Privacy X-Ray for visualizing privacy risks within data assets.
- Event Horizon for simulating the impact of data processing activities on privacy.
- Real-time monitoring of AI models to detect adversarial attacks and ensure compliance.
- Privacy Threat Modelling (PTM) for real-time detection, risk simulation, and AI-driven PII analysis.
- Privacy Enhancing Technologies (PETs) including tokenization, format-preserving encryption, differential privacy, and k-anonymity.
- Privacy Management System (PMS) for verifiable consent records, real-time data flow tracking (ROPA), and DPIA integration.
- PASSFERS governance frameworks to safeguard AI outputs.