AppSOC’s integration with AWS SageMaker significantly enhances the security and governance of AI projects. SageMaker is a comprehensive machine learning service that supporting the full ML lifecycle, including data preparation, model training, tuning, and deployment. It allows users to build custom models using various frameworks or utilize pre-built models.

By combining AppSOC with AWS AI tools customers can:

• Discover AI projects, models, datasets, and notebooks in use
• Evaluate models based on risk ratings from scans and the AppSOC knowledge base
• Establish AI governance creating inventories of AI resources, and compliance guardrails
• Create and manage impact assessments capturing the purpose, use cases, compliance, and safety requirements for each AI project
• Ensure AI posture management detecting misconfigurations and ensuring security by default
• Rely on robust AI Application Security with deep model scans and runtime detection to detect bias and dangerous or inappropriate content in prompts and responses
• Protect applications connected through API calls to AI systems
• Manage and remediate all security issues through AppSOC’s robust application security platform

AppSOC AI combined with AWS SageMaker enhances security, visibility, and governance over AI projects, with comprehensive, scalable, and adaptive security solutions within the AWS ecosystem.