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Cybersecurity vv2.1

Polymer Runtime Data Security ✓

Prevent AI data breaches with real-time risk management.

Source rating 4.8 (5) 12k views 62 saves 1 comments Free Trial
Data Security Data Breach Prevention AI Security
More categories (4)
Risk Management Data Threat Mitigation Real-time Monitoring Cybersecurity
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From Free Trial · Yearly

Verdict

A quick read before you dig into the full page.

Best if
You are cISOs and need: Prevent accidental sharing of confidential information
Skip if
Limited insights on implementation time
Pick this when
Prevents data breaches

Considering Claude Security instead? Compare side by side

Overview

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.

Polymer Runtime Data Security website

Best for

Short scenarios where Polymer Runtime Data Security tends to shine.

  • Prevent accidental sharing of confidential information

    Best for CISOs

  • Securely use AI in software development

    Best for CTOs

  • Reduce noise and data exposure in cloud apps

    Best for Security Partners

  • Scale cybersecurity and data governance strategies

    Best for IT Directors

Example outputs 1

Sample generations and before/after results for Polymer Runtime Data Security.

Polymer Runtime Data Security screenshot
Polymer Runtime Data Security screenshot Polymer Runtime Data Security website

Access & connections

Where you can use Polymer Runtime Data Security, and what it plugs into.

Platforms

Web

Integrations

Microsoft Teams Google Drive Salesforce Zendesk Notion GitHub Slack

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Tabular

Output

  • Text

Supported features

  • Cybersecurity

Pros & cons

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
Show 22 more
  • Software development lifecycle security
  • SecureRAG feature for risk scan
  • Cross-platform security
  • Data threat mitigation
  • Data Loss Prevention specialised
  • Flexible and adaptable design
  • Historic scans across assets
  • Human risk management
  • Risk scoring to quantify vulnerabilities
  • Real-time violation detection
  • Dynamic policy engine
  • Employee risk scoring
  • Real-time user nudges
  • Large platform-coverage (Slack, GitHub, etc)
  • Supports agentless data security
  • Utilizes advanced ML for data inspection
  • Contextualizes data for threat identification
  • Mitigate risks in real-time and retroactively
  • Active learning reduces risk over time
  • Real-time data maps for threat prioritization
  • Historical and real-time report generation
  • Compatible with ChatGPT and Bard

Cons

  • Limited integration options
  • Low-code architecture complexity
  • Possible alert desensitization risk
  • Dependent on continuous monitoring
  • SecureRAG feature specificity
  • Risk mitigation reliant on user response
  • No stated support for mobile platforms
  • Limited insights on implementation time
Show 1 more
  • No direct integration with databases

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Releases 2

Polymer Runtime Data Security v2.1 May 27, 2025 Current

Polymer Risk Score v2: behavior-aware, and content-driven risk framework for enterprise security teams.
✅ Quantifies risk in real time—per event, per user
✅ Tracks behavioral drift and remediation patterns
✅ Extensible into SIEMs, UEBA, and enterprise risk simulations
✅ Customizable to align with your governance, data sensitivity, and tolerance thresholds
🧠 Inspired by the same techniques Wall Street uses to model operational loss and tail-risk exposure, the Polymer Risk Score brings a new level of precision to how enterprises understand and act on human-centric risk.

Let’s move from static alerts to predictive risk intelligence.

Initial release April 10, 2025
Initial release of Polymer Runtime Data Security.

Imported reviews 1

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Zack Fediay May 21, 2025 v@ initial release

Not just alerts - real time visibility for Slack, Google Workspace, and AI APIs to stop risks before they become breaches

FAQ 12

What is Polymer DSPM for AI?
Polymer DSPM for AI is a data security posture management solution. It's primarily designed to prevent data breaches by managing risk and providing continuous monitoring. It leverages a unique low-code architecture which makes it adaptable for secure functioning in the AI era.
How does Polymer DSPM for AI help in preventing data breaches?
Polymer DSPM for AI helps prevent data breaches by providing real-time visibility of data, offering various adaptive data loss prevention controls, and automated redaction features to eliminate risks before they transform into breaches. It includes active human risk management which fosters enterprise-wide behavior change through real-time nudges and employee risk scoring.
What are the key features of Polymer DSPM for AI?
The key features of Polymer DSPM for AI include real-time data visibility, risk management, continuous monitoring, adaptive data loss prevention controls, automated redaction, and SecureRAG, a sub-feature that scans for risk across platforms. It also secures AI agents swiftly and operates across multiple platforms like Bitbucket, Box, GitHub, Google Drive, Microsoft OneDrive, Microsoft Teams, Notion, Salesforce, Slack, and Zendesk.
What is the role of the low-code architecture in Polymer DSPM for AI?
The low-code architecture plays a significant role in Polymer DSPM for AI. It contributes to the versatility and adaptability of the solution, making it suitable for secure functioning in the era of AI. This architecture allows for swift security of AI agents and eases the management of data across multiple platforms.
What platforms does Polymer DSPM for AI cover in data management?
Polymer DSPM for AI covers data management across several platforms. These are Bitbucket, Box, GitHub, Google Drive, Microsoft OneDrive, Microsoft Teams, Notion, Salesforce, Slack, and Zendesk.
How does Polymer DSPM for AI secure AI agents?
Polymer DSPM for AI secures AI agents swiftly by leveraging its distinctive low-code architecture. It is designed to spotlight potential risks associated with AI in the software development lifecycle, ensuring secure operation and data management across multiple platforms.
What is SecureRAG feature in Polymer DSPM for AI?
SecureRAG is a prominent feature in Polymer DSPM for AI. It focuses on scanning for risks across platforms and providing important insights to mitigate potential data threats, thus aiding in the prevention of data breaches.
Can Polymer DSPM for AI provide real-time visibility of data?
Yes, Polymer DSPM for AI can provide real-time visibility of data. It manages risk in real-time by continuously tracking data movement, monitoring changes, detecting risks, and scanning historical data across assets, messages, and codebases.
Is Polymer DSPM for AI adaptable and versatile?
Yes, Polymer DSPM for AI is adaptable and versatile. It is designed with a unique low-code architecture which makes it adaptable for secure functioning in the AI era. It caters to a wide range of platforms, thus showcasing its versatility.
How does Polymer DSPM for AI help in reducing AI-related risks in the software development lifecycle?
Polymer DSPM for AI helps in reducing AI-related risks in the software development lifecycle by highlighting potential risks and securing AI agents rapidly. It manages risk in real-time and eliminates risks before they transform into breaches, thus minimizing AI-related risks.
Does Polymer DSPM for AI offer automated redaction?
Yes, Polymer DSPM for AI offers automated redaction features. This functionality helps to eliminate risks before they can transform into breaches by automatically removing or obscuring sensitive information in a document.
How does Polymer DSPM for AI manage risk in real-time?
Polymer DSPM for AI manages risk in real-time by providing real-time visibility of data and offering adaptive data loss prevention controls. It helps mitigate potential data threats by identifying and mitigating risks in real-time.
Polymer Runtime Data Security From Free Trial · Yearly
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