As organizations rapidly embrace AI technologies, the number of AI agents operating across diverse cloud platforms such as Amazon Bedrock, Microsoft Foundry, Google Vertex AI, and others continues to grow. This surge brings new regulatory challenges, with frameworks like the EU AI Act, Colorado AI Act, and Canada’s Artificial Intelligence and Data Act (AIDA) requiring greater transparency and oversight of AI agents, including clear tracking of their business ownership.
Leveraging AI Agent Topology Mapping, enterprises can achieve comprehensive visibility into their deployed AI agents across hyperscaler environments. Powered by ITOM discovery technology, this solution systematically collects detailed inventories of AI agents, large language models, and essential system prompts, all of which are crucial for enabling robust AI Control Tower outcomes and meeting compliance obligations.
AI Agent discovery via cloud discovery: Automatically discover AI agents, such as Amazon Bedrock and Microsoft Foundry, and populate the discovered data in the CMDB to drive AI Control Tower outcomes.
Dependency Mapping and topology mapping: Get near real-time visibility of AI agents with dependency-mapping and topology-mapping data to drive IT Service Management and AIOps use cases.
Service Mapping: Build service context or business context layer complying with common service data model (CSDM) with tag-based service mapping.
AI Agent Topology Mapping now discovers the following AI agents, models, and prompts:
- Amazon Bedrock
- Microsoft Foundry (Classic)
Discovery, Service Mapping, or Cloud Management
Other Requirements:Discovery and Service Mapping Patterns 1.30.2