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Polymer

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Real-time DSPM for AI that takes action before risks become breaches

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AI DetectionContact
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Type
Saas
Company
Polymer DSPM
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About Polymer

Polymer's DSPM for AI takes action, providing real-time data visibility, adaptive DLP controls, and automated redaction to stop risks before they become breaches. It is a low-code solution to securely working in the age of AI, preventing data breaches through real-time risk management and continuous monitoring.

How to Use

Use Polymer's DSPM platform to gain real-time data visibility, implement adaptive controls, and automate remediation. The platform is agentless and uses machine learning to inspect data at rest and in transit.

Polymer DSPM's

Key Features

  • Real-time data visibility
  • Adaptive DLP controls
  • Automated redaction
  • Human risk management
  • Dynamic policy engine
  • Active learning
  • Real-time data maps

Use Cases

  • Prevent accidental sharing of confidential information
  • Securely use AI in software development
  • Reduce noise and data exposure in cloud apps
  • Scale cybersecurity and data governance strategies

Key Features

Real-time data visibility
Adaptive DLP controls
Automated redaction
Human risk management
Dynamic policy engine
Active learning
Real-time data maps

Pros & Cons

Pros
  • Real-time visibility into data exposure across AI apps
  • Adaptive DLP policies that evolve with usage patterns
  • Automated redaction reduces manual effort for security teams
  • Agentless architecture simplifies deployment
  • Active learning improves accuracy over time
Cons
  • Pricing requires direct contact, no transparent pricing available

Best For

Prevent accidental sharing of confidential informationSecurely use AI in software developmentReduce noise and data exposure in cloud appsScale cybersecurity and data governance strategies

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FAQ

What is Polymer DSPM?
Polymer is a Data Security Posture Management platform designed for AI environments. It offers real-time data visibility, adaptive DLP controls, and automated redaction to prevent data breaches.
How does Polymer protect data in AI tools?
The platform is agentless and uses machine learning to inspect data at rest and in transit. It applies dynamic policies to automatically redact or block sensitive information from being exposed in AI applications.
What are the key benefits of using Polymer?
Key benefits include real-time data maps, adaptive DLP policies, automated redaction, human risk management, and active learning to reduce noise and prevent accidental data leaks.