2026-03-31
Polygraf
polygraf.aiHeadquarters
Austin, TX
Employee Count
26
Year Founded
2023
Amount raised
~$12M
Business model
Selling directly to enterprises & selling tools to businesses for integration within their own security products
Early traction
Deployed 17 guardrail models across 25k users in sensitive sectors including government, defense, financial services, and legal
Employees are copy-pasting sensitive data into tools like ChatGPT, creating massive, invisible risk.
Existing security tools can’t see what’s happening inside these interactions, forcing companies to choose between locking AI down or potentially exposing critical data.
This week’s company is building the control layer that allows enterprises to use cutting edge AI systems without exposing internal information.
Polygraf is a real-time control layer that sits between employees and AI tools, ensuring companies can use AI freely without losing control of their data.
Control Layer: Employees interact with AI tools as they normally would, while Polygraf runs in the background, analyzing every prompt and response in real time.
Real-Time Protection: When a user attempts to send sensitive information like patient data or API keys, Polygraf detects it and blocks or redacts it before it reaches external AI systems.
Bulleted Version
Market Opportunity: Enterprises spent $37B on AI tools in 2025, but much of that usage remains constrained by risk, positioning Polygraf to unlock and capture additional value by making these systems safe and usable at scale.
Invisible Risk Layer: AI creates a new layer where sensitive data moves through prompts and responses, and existing security tools can’t see it.
Product Stickiness: Polygraf sits across all AI interactions and tools within a company, becoming more valuable as usage grows and more workflows run through it.
Model Access Risk: Polygraf relies on integrating with AI tools and APIs, but changes to model access or closed ecosystems could limit what it can see and control.
Friction: If Polygraf adds friction, employees may bypass it for unmanaged AI tools, weakening the visibility and control it aims to enforce.
Accuracy: If Polygraf misclassifies data or over-blocks legitimate prompts, it risks breaking workflows and losing trust with users.
Protect AI: AI security platform focused on the actual machine learning models and underlying infrastructure, whereas Polygraf is focused on controlling real-time employee interactions with generative AI systems.
Lasso Security: Cloud-first enterprise AI security platform that monitors employee use of generative AI tools, while Polygraf emphasizes on-prem deployment and real-time enforcement.
Noma Security: AI governance platform focused on securing AI agent deployments, while Polygraf operates directly at the interaction layer between users and AI.
WhyPolygraf
By monitoring every prompt, blocking sensitive data, and enforcing policies in real time, Polygraf is positioned to control how AI is used across an enterprise
*Nothing in this content constitutes investment or legal advice. Conduct independent diligence and consult professional advisers before making investment decisions.*
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