Technology

AI governance for tech, where adoption is fastest and sprawl is worst

Your engineers are already using AI coding assistants. Your product teams are evaluating AI features. Every SaaS vendor in your stack is embedding AI. Clarier gives you visibility and control without becoming the team that blocks innovation.

The Challenge

In tech, AI governance is an IP protection problem

The risk is not hypothetical. Engineers are pasting proprietary code into AI tools today. The question is whether you have visibility into it and a process that does not require you to block everything.

Critical

Engineering Teams Leading the Charge

AI coding assistants like GitHub Copilot, Cursor, and Claude Code are being adopted by individual developers, entire teams, and full departments, often before security has any awareness. Engineers evaluate and adopt tools on their own because waiting weeks for an approval slows them down. By the time IT finds out, the tool is already embedded in daily workflows.

Critical

IP Exposure Is the Primary Risk

The core risk in tech is not regulatory fines. It is proprietary source code, architecture documentation, customer data, and internal strategy being pasted into AI tools that may retain, train on, or expose that data. A single engineer pasting a proprietary algorithm into an unapproved AI tool can create an IP exposure that no amount of after-the-fact governance can undo.

High

Embedded AI Is Changing Your Approved Tools

Every SaaS vendor in your stack is adding AI features. Your approved project management tool now summarizes meetings. Your CRM auto-drafts emails. Your documentation platform offers AI search over your entire knowledge base. These features change how your data is processed, often without triggering a new security review because the vendor is already 'approved.'

High

The Speed vs. Security Tension

Blocking AI tools entirely loses you talent and productivity in a market where both are scarce. Engineers will leave for companies that let them use modern tools. But ungoverned AI usage creates real, material risk to your IP and customer data. The answer is not 'block everything' or 'allow everything.' It is a fast, lightweight governance process that engineers will actually follow.

Of engineers use AI tools daily

More AI tools than security tracks

Of SaaS vendors now embed AI

Of IP leaks involve AI tools

How Clarier Helps

Govern AI at the speed your teams expect

Clarier is built for environments where blocking tools is not an option and manual processes do not scale.

Shadow AI Discovery

Addresses: Shadow AI Usage

Detect AI tool adoption across engineering, product, design, marketing, sales, and support. Clarier integrates with your identity provider, network gateway, endpoint tools, and DLP systems to show you the full picture of AI usage across every department, not just the tools engineering chose to mention.

Fast Vendor Research

Addresses: IP Exposure

When an engineer requests a new AI tool, Clarier produces a vendor research report covering data handling, model training practices, security posture, and trust rating within hours, not the weeks it takes to get through a traditional security review queue. Fast enough that teams actually use it instead of working around it.

Embedded AI Detection

Addresses: Embedded AI Sprawl

Track when existing vendors in your approved stack activate AI features that change how your data is handled. Clarier monitors for these changes and surfaces them for re-evaluation so you can assess the delta between what you originally approved and what the vendor is now doing with your data.

Browser Extension

Addresses: Speed vs. Security

Real-time visibility into AI tool usage patterns across your organization without slowing teams down. The browser extension gives your security team insight into which AI tools are being accessed, by whom, and how frequently, providing a lightweight detection layer that complements your network and identity integrations.

Maturity Dashboard

Addresses: Leadership Reporting

Prove to leadership that AI adoption is happening responsibly. The maturity dashboard shows program coverage, tool inventory status, approval rates, risk distribution, and governance trends over time. Give your CTO and board confidence that you are enabling AI, not just reacting to it.