Ardent Privacy’s AI value proposition is to simplify and automate data privacy and compliance management. Using AI, the platform 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. Additionally, the platform’s AI-driven data minimization tools help manage storage costs by retaining only necessary data, reducing potential breach risks. Real-time analytics and insights into compliance and risk provide organizations with a comprehensive view of their privacy posture, enabling swift, informed decisions—all within a centralized, user-friendly system.
Data Discovery and Classification
Ardent Privacy uses AI to automatically identify and classify sensitive data across an organization’s ecosystem. This includes personal, financial, and health-related information, which is crucial for meeting compliance requirements such as GDPR, CCPA, and HIPAA.
Automated Risk Assessment
AI algorithms analyze the data landscape to detect risks associated with data exposure, access permissions, and security vulnerabilities. This helps in proactively identifying areas where sensitive data might be at risk, enhancing data security measures.
Privacy Compliance Automation
The platform leverages AI to streamline privacy compliance workflows, such as Data Subject Access Requests (DSARs) and consent management. By automating these processes, Ardent Privacy helps organizations stay compliant with evolving privacy regulations while reducing the manual effort needed for compliance.
Data Minimization and Deletion
Ardent Privacy’s AI can recommend and automate data minimization strategies, ensuring that only necessary data is stored. This helps reduce storage costs, limits potential exposure to breaches, and aligns with privacy principles.
Real-time Insights and Reporting
AI-driven analytics provide insights into privacy-related metrics, compliance status, and data risk levels. This real-time data helps organizations monitor their privacy posture and make data-driven decisions quickly.