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Assess BedRock GenAI Readiness with AWS Audit Manager

Assess BedRock GenAI Readiness with AWS Audit Manager

Empowering Generative AI Excellence: AWS Audit Framework Unveils Best Practices for Amazon Bedrock with 52 Automated Controls and 57 Manual Controls.

Published Dec 6, 2023
AWS Audit Manager introduces a game-changing opportunity for its users by providing access to a prebuilt standard framework, allowing AWS customers to assess the performance of their Generative AI implementation on Amazon Bedrock against AWS best practices. This framework empowers Amazon Bedrock users to seamlessly audit their generative AI usage and automate evidence collection, ensuring a uniform approach to tracking AI model usage, permissions, identifying sensitive data, and alerting on potential issues. Found in the AWS Audit Manager framework library, the 'generative AI best practices framework v1' presents 110 new controls tailored to domains like governance, data security, incident management, and business continuity planning.

  1. Continuous Audit Simplified: AWS Audit Manager facilitates continuous auditing of AWS usage, streamlining risk and compliance assessments with regulations and industry standards.
  2. Prebuilt Frameworks for Mapping: Easily align AWS usage with controls through prebuilt frameworks, ensuring compliance with standards like HIPAA, GDPR, and PCI DSS by mapping resources to control requirements.
  3. Efficient Evidence Collection: Save time with automated evidence collection, as Audit Manager organizes and collects evidence according to each control requirement, ensuring a streamlined audit process.
  4. Collaboration Made Easy: Streamline collaboration across teams with features like delegation, allowing the assignment of controls to subject matter experts for review, enhancing teamwork in the audit process.
  5. Audit-Ready Reports with Ease: Be continually prepared for audits as Audit Manager securely stores evidence, creating a comprehensive record for compliance demonstration. Generate audit-ready reports effortlessly, reducing manual efforts.
  6. Integrity and Security Assurance: Ensure the integrity of assessment reports and evidence. AWS Audit Manager stores evidence in a managed repository with read-only permissions, producing report file checksums for validation and security assurance.
  7. Customization for Unique Requirements: Leverage prebuilt frameworks or fully customize them to meet unique business requirements, allowing flexibility in adapting to industry standards and regulations.
  8. Transition to Automation: AWS Audit Manager facilitates the transition from manual evidence collection to an automated solution, providing easy tracking of evidence custody, enabling collaboration, and supporting continuous auditing, compliance, and internal risk assessments.

  1. Amazon Bedrock Overview:
    • Fully managed service offering high-performing foundation models (FMs) from top AI companies.
    • Simplifies generative AI application development with a focus on privacy and security.
  2. Cutting-Edge Foundation Models:
    • Choose from leading FMs like Claude, Jurassic-2, Stable Diffusion, Command and Embed, Llama 2, and Titan.
  3. Top Reasons to Choose Amazon Bedrock:
    • Flexibility with a variety of leading models.
    • Easy, Low-code model customization using Boto3 SDK.
    • Fully managed agents for dynamic task execution.
  4. Native Support for RAG and Knowledge Bases:
    • Utilize Retrieval-Augmented Generation (RAG) for enhanced FM capabilities.
    • Knowledge Bases enhance domain-specific knowledge for better AI performance.
  5. Security and Compliance Assurance:
    • Robust data security with encryption in transit and at rest.
    • Compliance certifications include HIPAA and GDPR.
    • Private connectivity with AWS PrivateLink for enhanced privacy.