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About Polymer Runtime Data Security
Polymer Runtime Data Security is an advanced, AI-driven platform designed to safeguard sensitive data across an organization's SaaS application ecosystem. It provides comprehensive capabilities for discovering, monitoring, and protecting critical information in real-time, addressing the unique challenges of data sprawl and collaboration in cloud environments. The platform leverages artificial intelligence to automatically identify and classify sensitive data, including PII, PHI, PCI, and intellectual property, as it resides and moves within applications like Slack, Microsoft Teams, Google Drive, Jira, Zendesk, and Salesforce.
Key features include real-time data loss prevention (DLP) that actively scans content and communications for policy violations. When sensitive data is detected in an unauthorized context, Polymer can automatically apply remediation actions such as redaction, quarantine, encryption, or deletion, preventing accidental exposure or malicious exfiltration. It enables organizations to define and enforce granular data security policies, ensuring compliance with major regulations like GDPR, HIPAA, CCPA, and SOC 2. Beyond prevention, Polymer also offers capabilities for detecting insider threats by monitoring unusual data access patterns or sharing behaviors.
Use cases for Polymer span from preventing accidental data sharing in collaborative channels to enforcing data residency requirements and securing customer data in support tickets. It helps organizations maintain a strong security posture by providing visibility into their data landscape across SaaS, reducing the risk of data breaches, and streamlining compliance efforts. The target audience includes security operations teams, compliance officers, IT administrators, and any organization heavily reliant on SaaS applications that needs to protect sensitive information, manage regulatory risks, and ensure data privacy in a dynamic, distributed environment.
Key features include real-time data loss prevention (DLP) that actively scans content and communications for policy violations. When sensitive data is detected in an unauthorized context, Polymer can automatically apply remediation actions such as redaction, quarantine, encryption, or deletion, preventing accidental exposure or malicious exfiltration. It enables organizations to define and enforce granular data security policies, ensuring compliance with major regulations like GDPR, HIPAA, CCPA, and SOC 2. Beyond prevention, Polymer also offers capabilities for detecting insider threats by monitoring unusual data access patterns or sharing behaviors.
Use cases for Polymer span from preventing accidental data sharing in collaborative channels to enforcing data residency requirements and securing customer data in support tickets. It helps organizations maintain a strong security posture by providing visibility into their data landscape across SaaS, reducing the risk of data breaches, and streamlining compliance efforts. The target audience includes security operations teams, compliance officers, IT administrators, and any organization heavily reliant on SaaS applications that needs to protect sensitive information, manage regulatory risks, and ensure data privacy in a dynamic, distributed environment.
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Pros
- AI-powered automation for data discovery and remediation
- Real-time protection across multiple SaaS applications
- Comprehensive sensitive data classification
- Strong compliance features for regulations like GDPR
- HIPAA
- CCPA
- Prevents accidental data exposure and insider threats
- Reduces manual security overhead
- Integrates with popular collaboration and business tools
Cons
- Potential for false positives in AI-driven data classification
- Requires integration with all relevant SaaS apps
- which can be extensive
- Pricing is not publicly disclosed
- potentially a barrier for smaller businesses
- Effectiveness relies on well-defined and configured security policies
- Primarily focused on SaaS
- may not cover on-premise or custom applications
Common Questions
What is Polymer Runtime Data Security?
Polymer Runtime Data Security is an AI-powered platform designed to discover, monitor, and protect sensitive data across SaaS applications. It leverages AI to identify and remediate data security risks in real-time, preventing data loss and ensuring compliance in collaborative environments.
How does Polymer Runtime Data Security protect sensitive data?
The platform uses AI to automatically identify and classify sensitive data, including PII, PHI, PCI, and intellectual property. It provides real-time data loss prevention (DLP) by actively scanning content and communications for policy violations across SaaS applications.
What types of sensitive data can Polymer Runtime Data Security protect?
Polymer Runtime Data Security is designed to protect various types of sensitive data as it resides and moves within applications. This includes Personally Identifiable Information (PII), Protected Health Information (PHI), Payment Card Industry (PCI) data, and intellectual property.
Which SaaS applications does Polymer Runtime Data Security integrate with?
The platform integrates with popular collaboration and business tools to safeguard data across an organization's SaaS ecosystem. Examples include Slack, Microsoft Teams, Google Drive, Jira, Zendesk, and Salesforce.
What are the main benefits of using Polymer Runtime Data Security?
Key benefits include AI-powered automation for data discovery and remediation, real-time protection across multiple SaaS applications, and strong compliance features. It helps prevent accidental data exposure and insider threats while reducing manual security overhead.
Does Polymer Runtime Data Security assist with regulatory compliance?
Yes, Polymer Runtime Data Security offers strong compliance features for various regulations. It helps organizations meet requirements for standards such as GDPR, HIPAA, and CCPA.
Are there any potential challenges with Polymer Runtime Data Security?
Potential challenges include the possibility of false positives in AI-driven data classification and the extensive integration required for all relevant SaaS applications. Its effectiveness also relies on well-defined and configured security policies.
