Polymer AI - Runtime Data Security for AI & SaaS

Polymer AI, Data Security, AI Governance, DLP, DSPM, SaaS Security, Real-time Control, SecureRAG, Shadow AI Detection, Human Risk Management, Compliance Reporting, HIPAA, GDPR, SOC 2, Cloud Security, Enterprise Security

Introduction

In the modern enterprise, data is moving faster than ever, streaming across cloud platforms and being processed by Generative AI tools. This fluidity introduces unprecedented security and compliance risks. Polymer AI was founded to provide the modern solution, recognizing that legacy security tools were not designed for the speed and distributed nature of today’s cloud and SaaS environments.

Polymer operates as an “AI Firewall,” using machine learning to continuously discover, classify, and protect sensitive data at the moment of access. By integrating natively into the applications employees use every day, it ensures that innovation is not stifled by overzealous security. Instead, Polymer automatically enforces policies, educates users with real-time “nudges,” and provides the necessary audit trails to maintain compliance with regulations like GDPR and HIPAA.

Data Loss Prevention

SaaS Security

AI Governance

Real-time Control

Review

Polymer is a modern, AI-native Data Loss Prevention (DLP) and Data Security Posture Management (DSPM) platform built specifically for the age of SaaS and Generative AI. Founded by Yasser Ansari and Ashish Gupta, it tackles a critical security gap: sensitive data leakage across third-party cloud applications (Slack, Google Drive, Microsoft Teams) and through unauthorized AI usage (“Shadow AI”).

Its core value proposition is providing runtime visibility and automated, granular control over sensitive data like PII, PHI, and intellectual property. Polymer doesn’t just alert; it takes real-time action, such as redacting sensitive information within a Slack message before it’s sent to an unapproved recipient, or leveraging its SecureRAG technology to prevent confidential data from being fed into a Large Language Model (LLM). This focus on real-time, human-centric security and AI governance distinguishes it from legacy DLP systems, making it a crucial component for any modern, cloud-first enterprise.

Features

AI Data Classification

Automatically discovers and accurately classifies sensitive data (PII, PHI, financial, IP) across all connected SaaS platforms using Natural Language Processing (NLP).

Real-Time Automated Remediation (DLP)

Automatically redacts, blocks, or quarantines sensitive data leaks in real-time within applications like Slack, Teams, and Google Drive.

SecureRAG Technology

Provides a policy enforcement point for LLM interactions, ensuring that sensitive internal data is automatically filtered and redacted before being used by Generative AI tools.

Shadow AI/IT Detection

Monitors and flags the unauthorized use of unapproved AI applications by employees, mitigating risks associated with data leakage.

Human Risk Management

Utilizes AI to detect anomalous user behavior (e.g., mass downloads) and provides real-time, context-aware nudges to coach employees on data stewardship.

Compliance Reporting and Audit

Provides comprehensive dashboards and audit trails specifically for compliance with major regulations like HIPAA, GDPR, and SOC 2.

Best Suited for

Security and Compliance Teams (SecOps)

To automate DLP, achieve continuous compliance monitoring, and centralize risk reporting across all cloud apps.

Cloud-Native & High-Growth Tech Companies

Organizations heavily relying on SaaS (Slack, G-Suite, Zendesk) that need runtime protection for their rapidly moving data.

Healthcare & Finance Industries

To stay updated on industry trends, product reviews, or tutorial videos when time is a critical constraint.

Enterprises with AI Adoption

Companies integrating or developing with LLMs who need a verifiable way to protect proprietary data from model training or leakage (SecureRAG).

DevOps & IT Teams

To secure shared documents and sensitive information within developer-focused tools like Jira, Linear, and GitHub.

Legal & HR Departments

For monitoring and mitigating insider threats, accidental data sharing, and ensuring policy enforcement in a remote work environment.

Strengths

AI-First Security

Real-time Action

Granular Visibility

Human-Centric Approach

Weakness

Complexity and Learning Curve

Higher Cost of Entry

Getting Started with Polymer AI: Step by Step Guide

Integrating Polymer is an agentless, non-disruptive process focused on rapid visibility.

Step 1: Request a Risk Scan

Contact Polymer to initiate a free, non-disruptive, 30-day risk scan on one of your existing SaaS environments (e.g., Google Drive or Slack).

Step 2: Connect SaaS Integrations

Connect the specific cloud applications (e.g., Google Workspace, Microsoft 365, Slack) where your sensitive data resides. Polymer is agentless and deploys quickly.

Step 3: Review the Initial Risk Report

Polymer’s AI will automatically classify data and generate an initial risk report, showing where sensitive data is exposed (e.g., PII in a publicly shared Slack channel).

Step 4: Define and Enable Policies

Use the platform’s interface to define specific DLP policies (e.g., “Redact all PII shared outside the company”) and activate the automated remediation features.

Step 5: Monitor and Coach

Observe the real-time remediation in action. Monitor the “Human Risk” dashboard and review the automated nudges provided to employees, customizing them for better efficacy.

Frequently Asked Questions

Q: What is "Shadow AI" and how does Polymer prevent it?

A: Shadow AI is the unauthorized use of external, consumer-grade AI tools by employees with company data. Polymer prevents this by monitoring application traffic and automatically blocking or alerting on unapproved data uploads to known AI services.

Q: Does Polymer replace my existing security tools?

A: Polymer is designed to complement and enhance existing tools. It provides runtime visibility and automated control within SaaS and AI that traditional network- or endpoint-focused DLP/DSPM tools often miss.

Q: Can Polymer prevent me from violating HIPAA?

A: Polymer helps achieve HIPAA compliance (specifically the Security Rule) by automatically classifying PHI and enforcing policies like real-time blocking of PHI sharing in unapproved channels. The Enterprise plan includes a Business Associate Agreement (BAA).

Pricing

Polymer’s pricing is structured to scale with the size and complexity of the organization’s data environment.

Standard

From $5

One policy, one integration, basic training, audit, monthly risk reports.

Enterprise

Custom Pricing

All Standard features, Advanced AI processing, Insider Threat Module, SecureRAG/AI Integration, Dedicated support, BAA.

Alternatives

Varonis Data Security Platform

A more traditional, analytics-focused DSPM that excels at deep data auditing and insider threat hunting, often in hybrid environments.

BigID

Specializes in data discovery, classification, and cataloging for large data estates, providing foundational visibility for security and governance.