Polymer provides an agentless data security platform that utilizes machine learning to monitor and classify sensitive data across cloud applications, enabling real-time threat detection and automated remediation workflows. The platform addresses the risk of data leaks in collaborative environments by offering granular policy controls and active learning to enhance employee awareness of data governance.
Funding
$2.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Modern enterprises face a significant challenge in preventing sensitive data leaks within collaborative cloud applications, as traditional data loss prevention (DLP) solutions often struggle to adapt to the dynamic nature of these environments. Employees, often unintentionally, may expose sensitive information through file sharing, messaging, and other collaborative activities within SaaS applications and GenAI tools.
Solution
Polymer provides an agentless data security platform that leverages machine learning to monitor and classify sensitive data across a wide range of cloud applications, including SaaS and GenAI tools. The platform offers real-time threat detection, automated remediation workflows, and granular policy controls to mitigate data exposure risks. By contextualizing data and identifying threats in real-time, Polymer enables security teams to proactively address data leaks and maintain compliance with data governance policies. Furthermore, the platform incorporates active learning to enhance employee awareness of data governance, empowering them to take control of data security and reduce risky behavior over time.
Target Audience
The primary target audience includes security teams, compliance officers, and IT professionals seeking to enhance data security and governance across their organization's cloud applications and GenAI tools.
Features
- Agentless deployment for quick and easy setup without disrupting existing workflows
- AI-powered engine for accurate identification and classification of over 250 data elements
- Dynamic policy engine to contextualize risk and trigger security workflows based on granular controls
- Real-time data maps and historical reports to identify high-risk platforms and employees
- Flexible remediation options, including in-line redaction, automatic quarantine, and custom alerts
- Active learning capabilities to provide point-of-violation training and nudges to employees
- Pre-built data governance templates for HIPAA, PCI, SOC 2, and other compliance regulations
- Integrations with popular chat, file storage, codebase, ticketing, and GenAI tools, including Slack, Google Drive, GitHub, Microsoft Teams, and Zendesk
- Secure single-tenant hosting with seamless integration with legacy DLP systems