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
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Github Copilot
Achieved extremely fast growth, projected to reach $200M revenue in 2025, with a $2.6B valuation as of January 2025.
GitHub Copilot is the world’s most widely adopted AI developer tool, used by millions of developers and tens of thousands of businesses.
Over 1 million users, acclaimed as the fastest SaaS company to hit $100M ARR.
AI is integrated throughout the platform, aiming for full SDLC support: code suggestions, automated documentation, and natural-language code editing.
Serves a primarily developer audience, helping automate code comprehension, editing, and debugging with AI.
Evolving quickly to support “AI-native” development, with a vision of democratizing software creation and empowering a broader spectrum of users.
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