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    Home»Development»Machine Learning»Advancing AI agent governance with Boomi and AWS: A unified approach to observability and compliance

    Advancing AI agent governance with Boomi and AWS: A unified approach to observability and compliance

    July 2, 2025

    Just as APIs became the standard for integration, AI agents are transforming workflow automation through intelligent task coordination. AI agents are already enhancing decision-making and streamlining operations across enterprises. But as adoption accelerates, organizations face growing complexity in managing them at scale. Organizations struggle with observability and lifecycle management, finding it difficult to monitor performance and manage versions effectively. Governance and security concerns arise as these agents process sensitive data, which requires strict compliance and access controls. Perhaps most concerningly, without proper management, organizations face the risk of agent sprawl—the unchecked proliferation of AI agents leading to inefficiency and security vulnerabilities.

    Boomi and AWS have collaborated to address the complexity surrounding AI agents with Agent Control Tower, an AI agent management solution developed by Boomi and tightly integrated with Amazon Bedrock. Agent Control Tower, part of the Boomi Agentstudio solution, provides the governance framework to manage this transformation, with capabilities that address both current and emerging compliance needs.

    As a leader in enterprise iPaaS per Gartner’s Magic Quadrant, based on Completeness of Vision and Ability to Execute, Boomi serves over 20,000 enterprise customers, with three-quarters of these customers operating on AWS. This includes a significant presence among Fortune 500 and Global 2000 organizations across critical sectors such as healthcare, finance, technology, and manufacturing. Boomi is innovating with generative AI, with more than 2,000 customers using its AI agents. The convergence of capabilities that Boomi provides—spanning AI, integration, automation, API management, and data management—with AWS and its proven track record in reliability, security, and AI innovation creates a compelling foundation for standardized AI agent governance at scale. In this post, we share how Boomi partnered with AWS to help enterprises accelerate and scale AI adoption with confidence using Agent Control Tower.

    A unified AI management solution

    Built on AWS, Agent Control Tower uniquely delivers a single control plane for managing AI agents across multiple systems, including other cloud providers and on-premises environments. At its core, it offers comprehensive observability and monitoring, providing real-time performance tracking and deep visibility into agent decision-making and behavior.

    The following screenshot showcases how users can view summary data across agent providers and add or manage providers.

    AWS Agent Control Tower dashboard with color-coded provider clusters, node-size relationships, and integrated filtering for agent management

    The following screenshot shows an example of the Monitoring and Compliance dashboard.

    Good: Monitoring dashboard displaying key AI agent performance indicators including active agents (2134), total tokens, average response time, and error rates. Features radar charts for AAGE1 scoring and graphs tracking invocations, token usage, and errors over time.

    Agent Control Tower also provides a single pane of glass for visibility into the tools used by each agent, as illustrated in the following screenshot.

    Split-screen view of agent visualization map and Dynamic Pricing Agent configuration panel

    Agent Control Tower provides key governance and security controls such as centralized policy enforcement and role-based access control, and enables meeting regulatory compliance with frameworks like GDPR and HIPAA. Furthermore, its lifecycle management capabilities enable automated agent discovery, version tracking, and operational control through features such as pause and resume functionality. Agent Control Tower is positioned as one of the first, if not the first, unified solutions that provides full lifecycle AI agent management with integrated governance and orchestration features. Although many vendors focus on releasing AI agents, there are few that focus on solutions for managing, deploying, and governing AI agents at scale.

    The following screenshot shows an example of how users can review agent details and disable or enable an agent.

    Comprehensive agent configuration interface with a button to disable the agent and displaying integrated tools, monitoring tasks, security controls, and knowledge base

    As shown in the following screenshot, users can drill down into details for each part of the agent.

    Interactive workflow diagram showing relationships between tasks, instructions, and monitoring criteria for fraud detection

    Amazon Bedrock: Enabling and enhancing AI governance

    Using Amazon Bedrock, organizations can implement security guardrails and content moderation while maintaining the flexibility to select and switch between AI models for optimized performance and accuracy. Organizations can create and enable access to curated knowledge bases and predefined action groups, enabling sophisticated multi-agent collaboration. Amazon Bedrock also provides comprehensive metrics and trace logs for agents to help facilitate complete transparency and accountability in agent operations. Through deep integration with Amazon Bedrock, Boomi’s Agent Control Tower enhances agent transparency and governance, offering a unified, actionable view of agent configurations and activities across environments.

    The following diagram illustrates the Agent Control Tower architecture on AWS.

    AWS architecture for observability: Bedrock, CloudWatch, Data Firehose, Timestream, and Agent Control Tower across customer and Boomi accounts

    Business impact: Transforming enterprise AI operations

    Consider a global manufacturer using AI agents for supply chain optimization. With Agent Control Tower, they can monitor agent performance across regions in real time, enforce consistent security policies, and enable regulatory compliance. When issues arise, they can quickly identify and resolve them while maintaining the ability to scale AI operations confidently. With this level of control and visibility, organizations can deploy AI agents more effectively while maintaining robust security and compliance standards.

    Conclusion

    Boomi customers have already deployed more than 33,000 agents and are seeing up to 80% less time spent on documentation and 50% faster issue resolution. With Boomi and AWS, enterprises can accelerate and scale AI adoption with confidence, backed by a product that puts visibility, governance, and security first. Discover how Agent Control Tower can help your organization manage AI agent sprawl and take advantage of scalable, compliance-aligned innovation. Take a guided tour and learn more about Boomi Agent Control Tower and Amazon Bedrock integration. Or, you can get started today with AI FastTrack.


    About the authors

    Friendly professional headshot of person with dark hair and beard in blue quilted jacket Deepak Chandrasekar is the VP of Software Engineering & User Experience and leads multidisciplinary teams at Boomi. He oversees flagship initiatives like Boomi’s Agent Control Tower, Task Automation, and Market Reach, while driving a cohesive and intelligent experience layer across products. Previously, Deepak held a key leadership role at Unifi Software, which was acquired by Boomi. With a passion for building scalable, and intuitive AI-powered solutions, he brings a commitment to engineering excellence and responsible innovation.

    Professional ID photo of person wearing dark collared shirt Sandeep Singh is Director of Engineering at Boomi, where he leads global teams building solutions that enable enterprise integration and automation at scale. He drives initiatives like Boomi Agent Control Tower, Marketplace, and Labs, empowering partners and customers with intelligent, trusted solutions. With leadership experience at GE and Fujitsu, Sandeep brings expertise in API strategy, product engineering, and AI/ML solutions. A former solution architect, he is passionate about designing mission-critical systems and driving innovation through scalable, intelligent solutions.

    Formal portrait photo with studio lighting on dark background Santosh Ameti is a seasoned Engineering leader in the Amazon Bedrock team and has built Agents, Evaluation, Guardrails, and Prompt Management solutions. His team continuously innovates in the agentic space, delivering one of the most secure and managed agentic solutions for enterprises.

    Informal portrait of person with gray beard, glasses, and plaid button-up shirt Greg Sligh is a Senior Solutions Architect at AWS with more than 25 years of experience in software engineering, software architecture, consulting, and IT and Engineering leadership roles across multiple industries. For the majority of his career, he has focused on creating and delivering distributed, data-driven applications with particular focus on scale, performance, and resiliency. Now he helps ISVs meet their objectives across technologies, with particular focus on AI/ML.

    Confident professional headshot featuring person in black and white patterned blouse Padma Iyer is a Senior Customer Solutions Manager at Amazon Web Services, where she specializes in supporting ISVs. With a passion for cloud transformation and financial technology, Padma works closely with ISVs to guide them through successful cloud transformations, using best practices to optimize their operations and drive business growth. Padma has over 20 years of industry experience spanning banking, tech, and consulting.

    Source: Read More 

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