How do protect your data in an AI-driven environment? Here’s what you need to know.


Even well-secured apps can leak data


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

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Some Quick facts about each vendor

Github Copilot

Amazon CodeWhisperer

GitHub Copilot is the world’s most widely adopted AI developer tool, used by millions of developers and tens of thousands of businesses.

CodeWhisperer is Amazon’s flagship AI-powered tool for developers, closely tied to the Amazon Web Services ecosystem and widely adopted across industries for its integration and support.

AI is integrated throughout the platform, aiming for full SDLC support: code suggestions, automated documentation, and natural-language code editing.

Frequently highlighted in industry events (like AWS re:Invent, AI Con USA) as part of Amazon’s next-generation AI portfolio.

Evolving quickly to support “AI-native” development, with a vision of democratizing software creation and empowering a broader spectrum of users.

As an initiative within AWS, CodeWhisperer benefits from Amazon’s global cloud infrastructure.