Polymer Runtime Data Security
Prevent AI data breaches with real-time risk management.
Quick facts
- Best for
- Prevent AI data breaches with real-time risk management.
- Pricing
- Freemium
- Editor rating
- 4.5 / 5
- Community saves
- 0
About Polymer Runtime Data Security
Polymer DSPM for AI is a data security posture management solution primarily focused on preventing data breaches through risk management and continuous monitoring. This tool aids in the real-time visibility of data, providing various adaptive data loss prevention (DLP) controls, and offering automated redaction features to eliminate risks before they transform into breaches. Designed with versatility and adaptability at its core, Polymer DSPM leverages a unique low-code architecture which makes it amenable for secure functioning in the era of AI. The solution ensures comprehensive coverage of data management across multiple platforms which include Bitbucket, Box, GitHub, Google Drive, Microsoft OneDrive, Microsoft Teams, Notion, Salesforce, Slack, and Zendesk. It spotlights potential AI-related risks in the software development lifecycle, and has the capability to secure AI agents quickly. One of its prominent features, SecureRAG, focuses on risk scan across platforms, providing crucial insights to mitigate potential data threats. Supported featuresCybersecurity
Pros
- Prevents data breaches
- Real-time risk management
- Continuous monitoring
- Real-time data visibility
- Adaptive DLP controls
- Automated redaction
- Low-code architecture
- Multi-platform data management
- Software development lifecycle security
- Secure
- RAG feature for risk scan
- Cross-platform security
Cons
- Limited integration options
- Low-code architecture complexity
- Possible alert desensitization risk
- Dependent on continuous monitoring
- Secure
- RAG feature specificity
- Risk mitigation reliant on user response
- No stated support for mobile platforms
- Limited insights on implementation time
- No direct integration with databases