Polymer Runtime Data Security

Polymer Runtime Data Security is a comprehensive data security platform designed to provide real-time visibility and protection across modern SaaS and AI application ecosystems. Its core value proposition lies in its ability to automatically discover, classify, and secure sensitive data wherever it lives—in applications like Slack, Google Workspace, Microsoft 365, or custom AI models—thereby preventing data loss and ensuring compliance without disrupting user productivity.

Key features: The platform offers automated sensitive data discovery using machine learning to identify PII, PHI, and financial data across cloud applications. It provides real-time monitoring and policy enforcement, such as blocking the sharing of credit card numbers in a chat or redacting sensitive information in a document before it's saved. Advanced capabilities include auto-remediation actions, detailed audit trails for compliance reporting, and insider threat detection by analyzing user behavior patterns to flag anomalous data access or exfiltration attempts.

What sets Polymer apart is its deep, context-aware integration with SaaS and AI tools. Unlike traditional network DLP, it operates directly within the application layer, understanding the context of data usage—whether it's being edited, shared, or processed by an AI model. This allows for more precise policy enforcement. Technically, it uses lightweight browser extensions and API integrations for deployment without requiring complex network changes, making it scalable for distributed workforces.

Ideal for security and compliance teams in regulated industries like healthcare, finance, and technology that heavily rely on SaaS collaboration and are adopting AI tools. Specific use cases include ensuring HIPAA compliance in healthcare communications, protecting source code and customer data in tech companies, and managing data governance for GDPR in multinational organizations. It is particularly valuable for CISOs looking to implement a robust Data Security Posture Management (DSPM) strategy.

While the platform offers a freemium model, its enterprise-tier pricing is based on the number of users and applications monitored. The advanced features for automated remediation, detailed risk analytics, and support for custom AI model security are typically available in higher-tier plans, which are necessary for large organizations with complex compliance requirements.