Polymer Runtime Data Securityv2.1
Overview
- Stop data breaches before they happen with automated redaction that removes sensitive information automatically
- Gain complete visibility across all your platforms including Slack, Teams, and Google Drive with continuous monitoring
- Secure AI development workflows by spotting risks in the software development lifecycle with specialized AI protection
- Enforce data loss prevention policies across Bitbucket, GitHub, and Salesforce with adaptive DLP controls
- Quickly secure AI agents without complex coding using the low-code architecture for rapid deployment
- Identify hidden data threats across messages, codebases, and files with SecureRAG risk scanning technology
- Change employee security behavior through real-time nudges and risk scoring that drives actual improvement
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
- 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
- No direct integration with databases
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❓ Frequently Asked Questions
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
Pricing
Pricing model
Free Trial
Paid options from
Free Trial
Billing frequency
Yearly
