Peter Baumann
CEO
ActiveNav
This company offers a data privacy and governance platform that automates content discovery, compliance, and tagging across various data repositories. Their software helps organizations maintain data privacy and gain better visibility for improved data access, storage, and security in the cloud.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Updated 17 months ago
Funding
Raised to date
$8MRaised 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.
Funding rounds are not available yet.
Founders
Product
Problem
Organizations struggle to maintain data privacy and regulatory compliance due to the increasing volume of unstructured data stored across diverse repositories. This "dark data" often contains sensitive information that, if left unmanaged, can lead to compliance violations, data breaches, and increased operational costs. The lack of visibility into unstructured data hinders effective data governance and risk mitigation efforts.
Solution
ActiveNav offers a data privacy and governance platform designed to automate the discovery, classification, and management of unstructured data. The platform provides a comprehensive data inventory, enabling organizations to identify and mitigate risks associated with sensitive and regulated data. ActiveNav Cloud delivers a single-pane-of-glass view of all unstructured data assets, allowing for proactive information governance and defensible data disposal. By assigning data ownership and aligning responsibility with authority, ActiveNav facilitates sustainable compliance and better data protection.
Target Audience
ActiveNav primarily serves legal firms, financial institutions, and government agencies that require robust data governance and compliance solutions for managing unstructured data.
Features
- Automated data discovery across various unstructured data repositories, including file shares, mail servers, cloud data stores, and document management systems
- Proprietary scoring algorithm to identify and prioritize data risks based on sensitivity and regulatory requirements
- Hotspot mapping to visualize data risks by data owner, business function, geography, and repository
- Pre-configured extractors for common regulations, extendable to custom controls and regulations
- Role-based dashboards for monitoring and managing data governance performance
- Integration with leading BI tools like Tableau and Power BI for robust reporting
- Support for specialist document management systems, such as iManage
- Cloud-based deployment for scalability, performance, and low IT overhead
- Named Entity Recognition (NER) to identify specific data elements
- Profile Review functionality to launch collaborative decision-making processes on any data set
- Hierarchy Export feature