How do you protect your data when using AI in Github Copilot
Here’s what you need to know around the AI risk.
We assess each vendor’s AI risk posture using 26 risk vectors mapped to leading frameworks like OWASP for LLM. This page will show a high-level snapshot of some information for each vendor. For the full, vendor-specific AI risk report, click the image below.
Feature Overview
Each vendor provides a unique set of features, and implements AI in certain ways. Let's see what types of AI features they have to offer:
Github Copilot |
|---|
Natural language chat interface to generate code, execute terminal commands, retrieve web results, and operate within one's IDE. |
… see more in full report |
Want to see all AI features?
Pricing Details
Let's dive into the relevant pricing details for accessing AI, as providers vary widely in their pricing models and cost drivers.
Vendor | Description | Github Copilot |
|---|---|---|
Freemium | Offers free tiers | |
Per License/Seat | Charges per user or access point | |
Consumption-Based | Pay per taken, API call, inference, etc. | |
Outcome-Based | Pay only when certain results or performance goals are achieved |
Some Quick facts about each vendor
Here are some facts about Github Copilot
Github Copilot |
|---|
GitHub Copilot is the world’s most widely adopted AI developer tool, used by millions of developers and tens of thousands of businesses. |
AI is integrated throughout the platform, aiming for full SDLC support: code suggestions, automated documentation, and natural-language code editing. |
Evolving quickly to support “AI-native” development, with a vision of democratizing software creation and empowering a broader spectrum of users. |
If your app pulls in third-party content — like URLs, comments, or files — LLM features can be tricked into leaking private data through indirect prompt injection. Most teams don’t even realize it’s happening.
According to a 2025 Gartner survey,
73%
of enterprises have suffered an AI-related security breach in the last year
$4.8M
average cost per incident — with indirect prompt injection and data leakage via LLMs now among the top attack vectors for financial services and healthcare organizations
In recent incidents, platforms like ChatGPT and Microsoft 365 Copilot were exploited by attackers using hidden prompts and indirect content injection, leading to unintended data exposure
We are trusted by top organizations to navigate AI security and risk. To see what this looks like, check out our platform below
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