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Polymer

★3.3
💬767
💲Freemium

Polymer DSPM for AI offers real-time data visibility, adaptive DLP controls, and automated remediation to prevent data breaches. It uses machine learning to inspect data at rest and in transit, enabling proactive risk management and compliance across cloud environments and AI workflows.

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Platform
web
AI SecurityAutomated RemediationComplianceDLPDSPMData GovernanceData Loss Prevention

What is Polymer?

Polymer DSPM for AI is a data security posture management platform designed to prevent data breaches by offering real-time risk management and monitoring. It caters to businesses of all sizes, particularly those leveraging AI tools, by providing low-code solutions that secure sensitive information through adaptive controls, automated redaction, and continuous oversight. The platform helps organizations maintain compliance and reduce exposure in cloud environments and AI workflows.

Core Technologies

  • Machine Learning
  • Real-time Monitoring
  • Dynamic Policy Engine
  • SecureRAG for Gemini
  • AI-driven Risk Assessment

Key Capabilities

  • Real-time data visibility
  • Adaptive DLP controls
  • Automated remediation
  • Human risk management
  • Integration with SaaS and GenAI tools

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
  • Integrate with popular SaaS and GenAI tools

Core Benefits

  • Prevents accidental data sharing
  • Reduces noise and exposure in cloud apps
  • Secures AI usage in software development
  • Enables granular control over data governance
  • Simplifies cybersecurity strategies

Key Features

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

How to Use

  1. 1
    Set up the Polymer DSPM platform for real-time data visibility.
  2. 2
    Implement adaptive DLP controls and automated redaction rules.
  3. 3
    Use machine learning to monitor data at rest and in transit.
  4. 4
    Configure dynamic policies for granular data governance.
  5. 5
    Leverage integration with SaaS and GenAI tools for seamless security.

Pricing Plans

Standard

Standard edition is the introductory offering providing access to all Connectors with core product functionality.

Business

The Business Edition is for mid sized companies looking to launch a data governance and security program.

Enterprise

The Enterprise Edition is for companies with large-scale data security initiatives looking for more granular enterprise controls.

Frequently Asked Questions

Q.What is Polymer DSPM for AI?

A.Polymer DSPM for AI is a data security posture management platform that provides real-time data visibility, adaptive DLP controls, and automated remediation to prevent data breaches in the age of AI.

Q.How does Polymer secure data?

A.Polymer secures data through observability, human risk management, and data loss prevention. Observability delivers real-time visibility into data flow. Human risk management empowers business users to take an active role in data security. Data loss prevention identifies and mitigates data exposure.

Q.What integrations does Polymer support?

A.Polymer integrates with popular chat, file storage, codebase, ticketing, and GenAI tools, including Slack, GitHub, Google Drive, Zendesk, Gmail, and Teams.

Q.How does Polymer reduce noise and data exposure?

A.Polymer uses advanced machine learning techniques to inspect data at rest and in transit. Its dynamic policy engine contextualizes data to easily identify threats and mitigate risks in real time.

Pros & Cons (Reserved)

✓ Pros

  • Real-time data visibility and control
  • Agentless deployment
  • Machine learning-driven risk assessment
  • Dynamic policy engine for granular controls
  • Active learning to reduce risky behavior
  • Integration with popular SaaS and GenAI tools

✗ Cons

  • Pricing not transparently listed on the website
  • Requires configuration of policies and workflows
  • Effectiveness depends on the accuracy of AI-driven risk assessment

Alternatives

No alternatives found.