Automate Privacy, Protect Data, Govern AI
Talk to Privacy Experts
To simplify your data privacy & security needs
To simplify your data privacy & security needs
Sameer Ratolikar
Chief Information Security Officer (CISO), HDFC Bank
Tailored Geographic Focus
High Customization with Low Code
Cost-Efficient Technology
Data discovery is often complex, costly, and time-intensive, making it challenging for companies to implement effective privacy and security. Our Innovative tool "TurtleShield" addresses these challenges by discovering hard-to-find datasets at scale, enabling quick actions, and reducing compliance costs. It locates and categorizes data based on regulatory requirements like DPDPA, GDPR, and CCPA, ensuring companies maintain compliance, secure sensitive information, and minimize data breach risks.
Data discovery is often complex, costly, and time-intensive, making it challenging for companies to implement effective privacy and security. Our Innovative tool "TurtleShield" addresses these challenges by discovering hard-to-find datasets at scale, enabling quick actions, and reducing compliance costs. It locates and categorizes data based on regulatory requirements like DPDPA, GDPR, and CCPA, ensuring companies maintain compliance, secure sensitive information, and minimize data breach risks.
Here are some of TurtleShield's core functions and features:
TurtleShield scans across on-premises, cloud, and hybrid environments to identify personal and sensitive data. AI-driven algorithms categorize and label data according to specific privacy classifications.
TurtleShield evaluates privacy risks by identifying unstructured and structured data that could lead to compliance issues, offering insights on high-risk areas so organizations can prioritize data protection.
The tool helps create a comprehensive data inventory, mapping data flows within and outside the organization—a valuable asset for building data lineage that aligns with regulatory requirements.
TurtleShield identifies redundant or outdated data, supporting data minimization practices crucial for data lifecycle management.
TurtleShield scans across on-premises, cloud, and hybrid environments to identify personal and sensitive data. AI-driven algorithms categorize and label data according to specific privacy classifications.
TurtleShield’s centralized dashboard eliminates the need for navigating through multiple links, providing a seamless user experience where all functionalities are easily accessible.
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.
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.
Our AI-driven approach focuses on several key areas:
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.
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.
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.
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.
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.
With increased data breaches, consumers are concerned about the security and privacy of their data stored by businesses. Investing in data security and privacy program is more than just a mandatory compliance; it is a powerful tool to gain consumer trust and increase sales.
Excess data means excess risk. Cost to secure data is often ignored, minimizing data saves cost and reduces security risk. Meet and exceed mandatory compliance requirements and sign that next customer contract confidently.
Today, enterprise security controls are not aligned with data assets which businesses need to protect. As data gets more complex, securing all means securing nothing. It is critical to understand data and build controls around it rather than following perimeter security.
Digital Personal Data Protection Act
Information Technology Act
Unique Identification Authority of India
Insurance Regulatory and Development Authority of India
Virginia Consumer Data Protection Act
California Consumer Privacy Act
Colorado Privacy Act
Connecticut Data Privacy Act
General Data Protection Regulation
Data Protection Act
Personal Data Protection Law
Federal Act on Data Protection
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