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Scan your AI models for common attack techniques, attack objectives, and harmful or sensitive content in inputs and outputs.
AI Application Security enables you to intercept malicious inputs and block potentially harmful outputs from your AI models, which helps to prevent exploitative usage and maintain regulatory compliance. If your data needs to remain local, choose self-hosted instead of hosted by Trend Micro.

Deployment options for AI Scanner settings

You can configure AI scan settings in two ways, depending on your deployment scenario:
  • Trend-hosted: Use Trend Micro's cloud infrastructure to run scans.
  • Self-hosted: Deploy and run the scanner in your own environment (e.g., on-premises or private cloud).
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Choose the option that best fits your data residency and operational requirements.

AI Guard integration options

You can integrate AI Guard in two ways, depending on your deployment scenario:
  • Trend-hosted: Use Trend Micro's cloud infrastructure to integrate AI Guard.
  • Self-hosted: Deploy and integrate AI Guard in your own environment.
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Choose the integration option that best fits your data residency and operational requirements.

Get started with AI Application Security

  1. Configure Trend hosted AI scan settings: Scan your AI models for common attack techniques and objectives to prevent malicious use and ensure regulatory compliance.
  2. Configure self-hosted AI scan settings: Deploy and configure the scanner in your own environment.
  3. Review AI Scanner scan results: Learn how to interpret and act on scan results.
  4. Integrate Trend-hosted AI Guard: Configure settings to scan your AI usage for harmful content generation, sensitive information leakage, and prompt injections.
  5. Integrate self-hosted AI Guard: Deploy and integrate AI Guard in your own environment.
  6. AI Guard API Reference and Code Examples: Reference for API integration and sample code in multiple languages.
  7. Estimated Deployment Costs for AWS: Review cost estimates for deploying AI Application Security on AWS.