Ship AI apps without shipping vulnerabilities.
The AI applications your teams build on large language models bring new risks: prompt injection, data leakage, and attacks that traditional tools do not see. TrendAI Vision One AI Application Security protects those apps from development through to production. An AI Scanner finds vulnerabilities bef
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| Capability | What it does |
|---|---|
| AI Scanner, before launch | Simulates real-world attacks to uncover vulnerabilities such as data leakage and prompt injection in your LLMs and AI apps before they go live, and ranks them so you fix what matters first. |
| AI Guard, at runtime | Monitors and filters inputs and outputs in real time to block malicious prompts and stop sensitive data leaking, without slowing your application down. |
| Stops prompt injection | Detects and blocks prompt-injection attempts that try to hijack your model's behavior or bypass its instructions. |
| Prevents data leakage | Keeps sensitive and proprietary data from leaving through model inputs and outputs, protecting your intellectual property and customer data. |
| Policy and governance | Enforces your policies on AI behavior and keeps audit trails, so you can show what your AI did and stay aligned with regulation. |
| A continuous loop | Scan, protect, validate, and improve on repeat, so security keeps pace as your AI applications change and grow. |
What is TrendAI Vision One AI Application Security?+
It protects the AI applications you build on large language models, from development through production. An AI Scanner finds vulnerabilities such as prompt injection and data leakage before launch, and an AI Guard blocks attacks in real time once the app is live.
What is the difference between AI Scanner and AI Guard?+
AI Scanner is pre-deployment: it simulates attacks to find and rank vulnerabilities before your app goes live. AI Guard is runtime protection: it monitors and filters inputs and outputs to block malicious prompts and data leaks while the app is in use.
Does it cover the OWASP Top 10 for LLMs?+
Yes. It addresses nine of the OWASP Top 10 risks for LLM applications, including prompt injection, data leakage, and AI supply-chain risk.
How is it different from securing AI use?+
AI Application Security protects the apps you build. Governing how employees use AI tools, including shadow AI, is a different job, covered by AI Secure Access and by Sophos AI Defense.
