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Advancing AI agent governance with Boomi and AWS: A unified approach to observability and compliance
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文章探讨了AI智能体在企业工作流程自动化中的应用,以及随之而来的管理挑战。Boomi与AWS合作推出了Agent Control Tower,一个AI智能体管理解决方案,旨在解决智能体激增带来的复杂性问题,提供全面的可观测性、生命周期管理、治理和安全控制。该解决方案通过与Amazon Bedrock的深度集成,增强了智能体的透明度和治理能力,帮助企业加速和规模化AI应用,实现更高效、安全和合规的AI运营。

🤖️ AI智能体正在变革工作流程自动化,但在企业中大规模应用时,管理复杂性日益增加,包括可观测性、生命周期管理、治理和安全等方面。

💡 Boomi与AWS合作推出了Agent Control Tower,这是一个基于AWS构建的AI智能体管理解决方案,提供了统一的控制平面,用于跨多个系统管理AI智能体,并提供全面的可观测性和监控功能。

🛡️ Agent Control Tower提供关键的治理和安全控制,如集中策略执行和基于角色的访问控制,并支持符合GDPR和HIPAA等法规。它还具备生命周期管理能力,如自动化智能体发现、版本跟踪和操作控制。

🚀 通过与Amazon Bedrock的深度集成,Agent Control Tower增强了智能体的透明度和治理,提供统一的、可操作的智能体配置和活动视图,帮助企业加速和规模化AI应用。

✅ 案例分析表明,Agent Control Tower帮助企业监控智能体性能、实施安全策略,并实现合规性,从而更有效地部署AI智能体,同时保持强大的安全性和合规标准。

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.

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

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.

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.

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

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.

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

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.

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.

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.

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.

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.

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