—Prevent AI data breaches with real-time risk management.

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May 27, 2025

Polymer Runtime Data Securityv2.1

Cybersecurity

1,539

5.0(3)1

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Prevent AI data breaches with real-time risk management.

Overview

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Cybersecurity44 0

Data Security Data Breach Prevention AI Security Risk Management Data Threat Mitigation Real-time Monitoring

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Author

Zack Fediay

🛠️ 4 tools 🙏 50 karma

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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.

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Polymer Runtime Data Security v2.1

May 27, 2025

Zack Fediay

wrote:

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

Zack Fediay

wrote:

Initial release of Polymer Runtime Data Security.

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Cybersecurity Polymer Runtime Data Security

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Pros and 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

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

View 25 more pros

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

No direct integration with databases

View 4 more cons

Included in lists

1 public list

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Q&A

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.

+ Show 14 more

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.

What data loss prevention controls are offered by Polymer DSPM for AI?

Polymer DSPM for AI offers various adaptive data loss prevention controls. These include real-time violation detection, automated classification, and policy enforcement to prevent unauthorized access. Additionally, it features a risk scoring system to quantify human-based vulnerabilities.

Can Polymer DSPM for AI spotlight potential data threats?

Yes, Polymer DSPM for AI can spotlight potential data threats. Its SecureRAG feature focuses on scanning for risks across the various platforms it supports. It provides crucial insights that help in mitigating potential data threats.

How does Polymer DSPM for AI perform cross-platform security?

Polymer DSPM for AI performs cross-platform security by managing data across a multitude of platforms including Bitbucket, Box, GitHub, Google Drive, Microsoft OneDrive, Microsoft Teams, Notion, Salesforce, Slack, and Zendesk. It continuously monitors changes, tracks movement, and detects risks across these platforms.

Can Polymer DSPM for AI mitigate potential data threats?

Yes, Polymer DSPM for AI can mitigate potential data threats. Its SecureRAG feature scans for risks across platforms and provides important insights to mitigate these threats. Moreover, it offers automated redaction features to eliminate risks before they evolve into breaches.

What is real-time monitoring in Polymer DSPM for AI?

Real-time monitoring in Polymer DSPM for AI is a feature that offers continuous tracking of data movement, monitors any changes, and detects risks. This provides a real-time visibility into the data flow, creating an active risk management system.

Does Polymer DSPM for AI have continuous monitoring?

Yes, Polymer DSPM for AI has continuous monitoring. It tracks data movement, monitors changes and detects risks in real-time. It also carries out historical scans across assets, messages, and codebases for comprehensive risk management.

What are the benefits of SecureRAG feature in Polymer DSPM for AI?

The SecureRAG feature in Polymer DSPM for AI is beneficial as it focuses on scanning for risks across various platforms. It provides important insights that help in potential data threat mitigation. The feature is instrumental in preventing data breaches and ensuring secure data management.

How can I request a demo for Polymer DSPM for AI?

A demo for Polymer DSPM for AI can be requested through the 'Request a Demo' option available on their website. This interactive feature can provide a deeper understanding of the tool and its functionalities.

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