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Amazon Web Services (AWS) Amazon SageMaker Integration with AppSOC

AppSOC Integration with Amazon SageMaker

Enhances security and governance for AWS SageMaker projects

AppSOC consolidates data from the Amazon Web Services (AWS) AI Security tool, along with many other sources, providing risk-based prioritization and remediation

Provides discovery and governance of Generative AI

Ingests data from Amazon Web Services (AWS) Amazon SageMaker

Strengthens AWS security posture

Consolidates and deduplicates findings

Establishes AI governance and compliance guardrails

Normalizes scoring and correlates events

Monitors prompts and responses for bias or injections

Prioritizes critical threats based on business context

Automates notification, ticketing, and remediation

See It In Action

The AppSOC platform ingests AI Security data from Amazon Web Services (AWS) Amazon SageMaker and aggregates it with security data from hundreds of other vendors. The solution automatically consolidates and deduplicates findings to reduce noise. Risk scoring is normalized across tools, and threats are correlated across attack surfaces.

AppSOC’s advanced contextual risk scoring prioritizes all results factoring in your business context. This includes, but goes far beyond traditional CVSS scoring, prioritizing the most critical vulnerabilities based on severity, exploitability, asset criticality, data classification, and network exposure. The results can eliminate more than 95% of noisy, redundant, and non-critical issues, so you can focus on what matters most.

AppSOC’s intuitive dashboard provides both executive summaries and technical views allowing you to drill-down and see the details or roll-up views across applications, business units or organizations.

Using data from Amazon Web Services (AWS) and other third-party products, AppSOC also maps software dependencies across the entire application hierarchy including libraries, microservices, applications, and hosts.

For more information about our integration with Amazon Web Services (AWS) Amazon SageMaker please contact our product experts or schedule a live demo.

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.

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