Polygraf 🔎

Copy-pasting sensitive data into ChatGPT...

March 31, 2026

Opening Remarks

This week, I’ve been thinking about how consumer tech still hasn’t had its true AI moment. What we’re seeing today, AI in dating apps, fitness coaching, and copilots, feels more like features than products. Helpful and cool, but not transformative.

The next wave will be different. Not tools, but intelligent companions. Products that know you, adapt in real time, and replace tasks entirely.

I believe the founders building these products are just starting to gain momentum, and the market for these types of companies is about to break open. Now, onto this week’s feature:

-Brett

Bulletpitch’s publication covers the hottest early-stage startups before being picked up by larger media outlets. If that’s you, apply here.

Setting the Scene

  • 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.

In a Sentence

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: Similar to how email spam filters catch bad emails, Polygraf catches sensitive data before it reaches AI.

The Basics

  • Industry: AI Security, Enterprise Software

  • Headquarters: Austin, TX

  • Year Founded: 2023

  • Employee Count: 26

  • Investors: Allegis Capital, Alumni Ventures, DOMiNO Ventures, DataPower Ventures

  • 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

Event Board

  • Seed Round Supper, NYC: We’re hosting one of our signature founder dinners in an NYC penthouse on April 14th! Apply HERE.

  • Founder and Investor Dinner, LA: We’re back in Los Angeles on May 12th and hosting a dinner for top-tier founders and investors! Apply HERE.

Weekly Feature Continued

Due Diligence

WHAT WE LIKE

  • 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.

POTENTIAL RISKS

  • 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.

Founder Profile

  • Yagub Rahimov, CEO: Previously co-founded 7MARKETZ Group and bootstrapped it into a top 3 media group in the FX and blockchain space before its acquisition in 2020.

To request an introduction to the founder, respond to this email.

Comps

  • 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.

Why Polygraf: 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.

Cast Your Vote

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Last Week Today

  • The Results Are In: Licensed To Glow, a subscription marketplace for access to beauty and aesthetics providers, was a split decision in last week’s poll.

  • Subscriber Feedback: “This looks like a great idea and business model, however, the model concentrates consumer demand among a curated set of providers, strengthening partner economics while potentially limiting how broadly supply can scale within a given market.”