Secure AI Development

Implement Secure Practices for AI Enabled Applications

Your developers are building AI applications. Ensure they do so in a safe way by monitoring the security of your AI building blocks, following secure development practices, and using validated AI models.
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BoostSecurity for Secure AI Development

AI Toolchain Security

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AI Coding Standards

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AI Model Safety

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Secure Your AI Toolchain

The AI toolchain used in your applications is large, complex, and ever changing. Ensure that the technologies underpinning your AI functionality are protected from supply chain attacks. 

With BoostSecurity, protect your AI-enabled software supply chain across;

  • AI models
  • ML toolchain (Pandas, Scikit, PyTorch, TensorFlow)
  • LLM stack

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Secure Your AI Toolchain
Secure AI Coding Standards

Secure AI Coding Standards

Empower AI assisted development while following security guidelines by;

  • Defining security guidelines for acceptable development
  • Specifying conditions that alert or block developers
  • Automating notifications or deployment blocking when coding violations occur

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AI Model Safety

AI models are at the heart of AI applications. However, these models have become supply chain risks. With BoostSecurity you can validate;

  • Which models are used, and where
  • The source of active models
  • Model format security
  • Model scanning status

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AI Model Safety
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See how BoostSecurity for Secure AI Development works