Sameer A.
CEO
Ardent Privacy
Ardent Privacy provides a data discovery platform, TurtleShield, that automates the identification and classification of sensitive data to ensure compliance with regulations like GDPR and CCPA. By minimizing excess data, the platform reduces security risks and compliance costs, enabling organizations to protect customer information effectively.
- Artificial Intelligence
- Cybersecurity
- Enterprise Software
- Software Only
Updated 7 months ago
Funding
Raised to date
$200KRaised 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 face challenges in effectively identifying and classifying sensitive data across diverse systems, leading to compliance gaps with regulations like GDPR, CCPA, and DPDPA. Manual data discovery processes are often complex, costly, and time-intensive, increasing the risk of data breaches and hindering effective data security measures. The lack of alignment between enterprise security controls and data assets further exacerbates these challenges.
Solution
Ardent Privacy's TurtleShield platform automates data discovery, classification, and privacy compliance. The platform discovers datasets at scale, enabling quick actions and reducing compliance costs. By leveraging AI, TurtleShield identifies and classifies sensitive data across the organization, assesses risks, and automates compliance workflows, such as DSARs and consent management. This approach ensures that sensitive information is properly protected and regulatory requirements are met with minimal manual effort, enhancing data-centric security and privacy.
Target Audience
Ardent Privacy targets organizations that need to automate and simplify data privacy and compliance management, including those in highly regulated industries such as finance, healthcare, and technology.
Features
- Automated data discovery and classification across diverse data sources
- AI-powered identification of sensitive data based on regulatory requirements (DPDPA, GDPR, CCPA, etc.)
- Risk assessment and automated compliance workflows (DSARs, consent management)
- Customizable, low-code platform tailored to specific geographic and industry needs
- Data minimization tools to reduce data sprawl and associated security risks
- Integration with existing security infrastructure for enhanced data-centric security
- Reporting and analytics dashboard for monitoring compliance posture