Securing your AI model

 

 

Register for a complimentary AI Discovery and Risk Assessment Workshop.

Learn how to secure the data, model and usage.

AI Governance delivers:

  • Lifecycle governance
    Managing AI assets across the entire lifecycle
  • Evaluate, Monitor, Detect, and Protect
    Evaluate and monitor for fairness, accuracy, and drift,     while protecting from harmful content
  • Risk Management & Compliance
    Way to manage AI activities and risks from initial requests, production deployments, to compliance

AI Security controls deliver:

  • Visibility
    Understand where AI assets and services are deployed and in use within the organisation

  • Security for Data
    Monitor data sources, especially sensitive and training data, leveraged in AI deployments to prevent breaches

  • Security for Models & Applications
    Apply security controls to mitigate vulnerabilities and respond to threats quickly

How does
IBM Guardium
AI Security help?


  • Understand data needs and data stores for AI use cases
  • Protect and monitor data to prevent data manipulation or unauthorised access
  • Discover shadow AI models in deployment
  • Identify and mitigate vulnerabilities in AI deployments
  • Adhere to AI regulations and data compliance
  • Gain an understanding of AI Trust and Risk, along with securing your AI deployment 

 

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Want to know more?

Read about Best practices on securing your AI deployment here

Access the IBM solution page here

Peruse the data sheet here

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Vectra can help you secure your AI Data, Models and Usage

Discover AI deployments, mitigate vulnerabilities in AI models and protect sensitive data,
while meeting regulatory requirements.

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