The AI Governance Framework by Keyrus offers a holistic approach to implementing responsible AI practices across your organization. Designed to address the unique challenges of AI adoption, this offering combines strategic consulting with technical expertise to fully leverage tools such as Amazon Bedrock for foundational AI infrastructure, Amazon SageMaker for model development and deployment, AWS Glue for data integration, and Amazon Athena for data query and management. By integrating multiple large language models (LLMs) to validate outputs, detect bias and toxicity, and enforce robust logging standards, Keyrus helps you maintain control over your AI applications while enhancing their reliability and transparency. With the right organizational process and structure, along with alignment on the technical side, Keyrus’ governance framework helps you maintain control over your AI applications while enhancing their reliability and transparency.

Why Choose Keyrus for AI Governance? As AI technologies evolve, so do the risks and complexities associated with their deployment. Organizations must navigate a range of challenges, from compliance and security to ethical concerns and reputational risk. Furthermore, a deep understanding of the current landscape of organizational, tech, and processes which are oriented towards classic BI is critical in ensuring an effective bridge between the old and new worlds. Keyrus brings in this expertise to ensure BI and AI technologies coexist productively and the required transition is executed effectively. The Keyrus AI Governance Framework, powered by AWS, provides a comprehensive solution, combining expert consulting with technical implementation to establish a strong governance foundation that promotes trust, compliance, and effective AI utilization.

Key Benefits of the AI Governance Framework:

• Organizational Alignment: Develop governance structures and processes that align with organizational goals and promote cross-functional collaboration.
• Transparency and Accountability: Use Amazon CloudWatch for logging, auditing, and monitoring practices to track AI decisions and outcomes.
• Enhanced Compliance and Security: Utilize AWS services like AWS Identity and Access Management (IAM) to enforce compliance with regulatory standards and internal security policies.
• Risk Mitigation: Detect and address bias, toxicity, and other ethical concerns in AI outputs by leveraging multiple LLM models in AWS Bedrock to validate AI generated content
• Expert Guidance: Leverage Keyrus' experience in data strategy and AI governance to navigate complex challenges.

Comprehensive Features:

• Policy Development and Security Measures: Leverage AWS Config to implement AI policies that align with your organizational values, industry standards, and regulatory requirements. Establish security protocols to protect data and AI models. Implement these AI policies using AWS Config for monitoring compliance and AWS WAF for security protocol management.
• Organizational Structures and Committees: Create AI governance committees or organizational structures to oversee AI use, promote cross-departmental collaboration, and ensure accountability.
• Training and Knowledge Expertise: Design and deliver training programs to enhance AI literacy across your organization, fostering a culture of responsible AI use.
• Technical Governance Frameworks: Design technical controls to monitor, log, and manage AI applications, ensuring consistent performance and compliance. These frameworks use: * Multi-LLM Output Verification - Utilize Amazon Bedrock to easily access multiple LLMs for checking AI outputs for consistency, accuracy, bias, and toxicity. * Bias and Toxicity Detection - Implement automated tools with Amazon SageMaker Clarify to detect and mitigate bias and toxicity in AI-generated outputs * Data Catalog Integration - Seamlessly integrate with AWS Glue Data Catalog to ensure AI models have access to high-quality, governed data sources.

Ready to Govern Your AI Applications Responsibly? Contact us today to learn how Keyrus can help you establish a comprehensive AI governance framework powered by AWS services that mitigates risk, enhances compliance, and drives responsible AI innovation within your organization.