Data privacy
97Verified suppliers
Built for
The challenge
Your organization faces increasing pressure to protect sensitive data while leveraging its value. Escalating financial penalties, evolving regulations like GDPR and the EU AI Act, and the rise of AI-driven threats demand a proactive approach. Without robust data privacy measures, you risk costly data breaches, loss of customer trust, and legal repercussions. Shadow AI and a lack of transparency further compound these challenges, making a unified, automated, and AI-ready governance ecosystem essential for mitigating risk and fostering digital trust.
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86%
of consumers are concerned about online privacy
$10M
is the average cost of a data breach in the U.S.
97%
of AI systems lacking proper access controls experienced breaches
The solution
Data privacy addresses your unique challenges through modern solutions and key capabilities.
Automated data discovery and classification
Automatically scan structured and unstructured data to identify and classify sensitive information, ensuring comprehensive visibility across your data landscape.
Individual rights management (IRM)
Automate the management of Data Subject Access Requests (DSARs) with identity verification, secure data retrieval, and redaction capabilities to comply with privacy regulations.
AI security and governance (AI-SPM)
Maintain an inventory of AI models, monitor training data, and enforce policies to prevent sensitive data leakage and ensure compliance with AI-related regulations.
Privacy-enhancing technologies (pets)
Employ techniques like homomorphic encryption, differential privacy, and synthetic data to extract value from data without exposing sensitive information.
Data lineage tracking
Track the flow of data from its origin to its destination, providing critical information for regulatory compliance and data provenance.
Automated consent management
Manage user consent preferences across various channels, ensuring compliance with regulations like GDPR and CCPA.
See how data privacy suppliers stack up
Our Palomarr Insights chart shows the full landscape of data privacy solutions.
- See how companies stack up against each other
- Get a detailed breakdown of each supplier
- Compare 97 suppliers
How to evaluate data privacy
1
Technical fit
Ensure the tool can scan content in both cloud and on-premise systems to provide comprehensive data visibility.
2
Innovation/AI
Evaluate whether the vendor offers specific modules for AI-SPM and compliance with the EU AI Act.
3
TCO/ROI
Calculate the total cost, including connectors, storage, and training, to ensure a clear understanding of the investment.
4
Ease of use
Determine if a non-technical privacy officer can manage the majority of workflows to minimize the need for specialized expertise.
Questions to ask suppliers
Use these questions during supplier evaluations to ensure you're choosing the right partner for your needs.
Data privacy RFP guide- How does your platform handle data poisoning detections in AI training data?
- What AI Security Posture Management (AI-SPM) capabilities are included out-of-the-box?
- What is the typical implementation timeline for a medium-sized organization?
- How do you ensure compliance with the EU AI Act?