Enterprise AI Governance Administration Solution

The Vendor is required to provide community regarding enterprise Artificial Intelligence (AI) governance administration platforms and related operational governance capabilities.
- Objective:
• Better understand the current AI governance market
• Evaluate enterprise AI governance administration capabilities
• Assess architectural approaches for operational AI governance
• Understand integration capabilities across runtime governance, AI security, observability, and assurance ecosystems
• Evaluate future-state readiness for evolving AI operational governance requirements
• And gather information that may inform future procurement strategies
- Enterprise AI Governance Administration capabilities, including:
• AI inventories
• Governance workflows
• Policy management
• Risk classification
• Approvals
• Centralized governance visibility
• Enterprise governance lifecycle management
- Ability to support or integrate with broader operational AI governance and assurance capabilities, including:
• Runtime governance
• Ai security & privacy
• Prompt inspection
• Runtime monitoring
• Human-in-the-loop governance
• Operational traceability
• Telemetry
• Provenance
• Ai observability
• Policy enforcement
• Emerging assurance capabilities
- Distinguish between administrative governance capabilities, operational runtime governance capabilities, AI security capabilities, and assurance-oriented capabilities.
- The State is particularly interested in platforms that demonstrate scalable enterprise architecture, AI-native operational design, extensibility, interoperability, cloud and hybrid environment support, and the ability to evolve alongside rapidly changing AI technologies and regulatory expectations.