Arthur Unveils Groundbreaking Platform for Agent Discovery and AI Governance
Arthur, a leader in AI reliability and performance, has announced the launch of its first comprehensive Agent Discovery and Governance (ADG) platform. This innovative solution is designed to equip organizations with the necessary tools to manage and govern agentic AI, ensuring compliance and efficiency in operations while minimizing risks.
As companies increasingly integrate AI agents into their workflows, the need for effective governance is paramount. The rapid proliferation of agents presents challenges such as potential security breaches and operational inefficiencies. Arthur's ADG platform addresses these issues head-on, providing organizations with a robust framework to harness agentic AI responsibly.
Key Features of Arthur's ADG Platform
The new platform facilitates a range of capabilities that empower organizations to discover, manage, and govern agents deployed within their compute environments fully. Here are some of the primary features:
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Automated Discovery and Cataloging: The platform performs real-time identification of all agents operating within an organization, building a comprehensive inventory that ensures visibility into AI operations.
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Monitoring and Governance: Organizations can monitor popular commercial agentic AI solutions seamlessly, enforcing governance frameworks across diverse platforms.
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Performance Evaluation: Continuous assessment of agents based on predetermined tasks ensures they perform optimally and meet business goals.
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Security Policies: The platform implements acceptable use and security policies to govern how agents interact with sensitive information, providing safeguards against data breaches.
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Operational Standards Controls: It maintains operational integrity by notifying stakeholders whenever threshold limits are breached and necessary interventions are needed.
Importance of AI Governance
The urgency for such a solution is underscored by a recent McKinsey report that revealed that 80% of organizations currently experience risky behavior from AI agents. These revelations make it clear that without proper governance, organizations may face severe consequences, including operational disruptions and compromised data security.
Adam Wenchel, co-founder and CEO of Arthur, emphasized the challenges that Chief Information Officers (CIOs) face in governing the adoption of this powerful technology: “The rapid pace of adoption of agents across organizations means CIOs must now contend with governing and securing this technology. Arthur is the first platform to make that easy to accomplish, regardless of where agents are running.”
Streamlined Integration with Existing Ecosystems
Arthur's ADG platform is designed to integrate effortlessly with major agent-building ecosystems, such as Google Cloud Gemini and Vertex, AWS Bedrock, and Microsoft Agent Foundry. This interoperability ensures that organizations can unify their governance framework, irrespective of which AI development approach they have taken.
Driving Agentic AI Transformations Safely
By implementing the ADG platform, organizations can confidently deploy agents in critical areas — from customer support to internal productivity, marketing automation, and financial operations. A typical use case involves embedding agentic AI into customer support systems, where Arthur's framework guarantees the safe handling of personally identifiable information and adheres to brand guidelines, even enhancing key performance indicators like customer satisfaction and engagement.
The introduction of this platform marks a significant milestone in the evolution of enterprise AI operations, establishing new industry standards and fostering a safer, more responsive approach to agentic AI deployments.
To learn more about the capabilities and benefits of Arthur's Agent Discovery and Governance Platform, you can visit
Arthur's official blog.
About Arthur
Arthur is dedicated to ensuring AI reliability and performance through continuous evaluation and governance. The platform supports diverse AI systems, including traditional and generative models, with capabilities tailored to advancing the full Agent Development Lifecycle.