The startup offers a data privacy platform that automates compliance with data protection regulations and securely manages sensitive personal information. By integrating seamlessly into any application, it provides organizations with complete visibility and control over the usage of personal data.
Funding
$230K 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.
Founders
Product
Problem
Organizations struggle to manage and protect personal information (PI) across various data sources, making it difficult to comply with evolving data privacy regulations. Existing solutions often lack centralized control and real-time visibility into how personal data is used, increasing the risk of breaches and non-compliance. Managing Data Subject Access Requests (DSARs) and ensuring data anonymization for analytics also present significant operational challenges.
Solution
AnonTech's ViziVault is a data privacy platform that centralizes the storage, management, analysis, and protection of personal information. It provides an easy-to-use API and enterprise management console, empowering organizations to monitor and administer personal information usage, thereby ensuring compliance with data privacy regulations. ViziVault allows for the isolation of PI into an encrypted vault, offering features for risk assessment and mitigation through pre-built dashboard widgets and a data discovery tool. The platform supports multiple deployment options, including on-premise, cloud-based SaaS, and hybrid solutions.
Target Audience
The primary target audience includes organizations across various industries that need to manage and protect personal information to comply with data privacy regulations.
Features
- Centralized and encrypted vault for storing personal information from various data sources
- Real-time risk assessment and mitigation through customizable dashboards and alerts
- Proprietary rules engine to make data actionable as it flows throughout systems
- End-to-end workflow for Data Subject Access Requests (DSARs) management and automation
- Data classification using a customizable tagging system
- Data anonymization capabilities to remove Personally Identifiable Information (PII) from analytics datasets
- Multiple deployment options: on-premise, cloud (SaaS), and hybrid
- Client libraries available for various programming languages