Bridge Agentic AI Overview

the knowledge & ai foundation facilitates the creation, deployment, and management of ai agents on kyndryl bridge it provides a standardized toolkit for development, integrates with mcp tools for data access and performance monitoring, ensures governance for security and compliance, and offers a scalable kubernetes infrastructure for managing containers the agentic designer serves as an intelligent co designer, transforming a simple business idea into a comprehensive, ready to build agentic ai design through guided discovery and structured reasoning the agent registry manages the existing agents, determining who can use them and whether they should continue to exist in contrast, agentops oversees how agents operate during runtime lastly, agentops acts as the control tower for an enterprise's agent ecosystem it regulates what agents can do, monitors their activities, and ensures resilience, compliance, and cost control throughout their entire lifecycle human in the loop (hitl) our agents currently do not operate with complete autonomy, which mandates the integration of human in the loop (hitl) processes during their creation the hitl feature in bridge is crucial for enhancing control and mitigating risks by requiring human approval for all critical ai actions this allows for the involvement of multiple participants in a single workflow if a user fails to respond to a hitl request within the established timeframe, the system will automatically deny it, ensuring a predictable timeout behavior that is thoroughly logged for transparency agents will pause for user review in the bridge ai assist ui, where decisions can be either approved or denied if there is no response within the specified timeframe, the decision will be automatically denied this procedure will continue until full (poa) is established policy enforcement via agentvisor to ensure agents function correctly in controlled environments, implementing guardrails is crucial these mechanisms enforce policies for agent actions, data access, and external tool interactions agentvisor acts as a policy enforcement tool, providing clear "allow or deny" responses by integrating various policy checks before taking any action, an agent must be verified for necessary permissions agentvisor monitors all interactions, intercepting requests to ensure compliance through a model known as policy as a service (paas) it gives a simple yes or no response on whether the agent can proceed for instance, if an agent wants to shut down a virtual machine (vm), agentvisor first verifies this action to ensure compliance with security protocols, either approving it (yes) or canceling it (no) by combining these measures, bridge ai assist ensures that sensitive information remains secure, and interactions are conducted with the highest level of privacy and protection