How to Implement Agent Discovery & Governance with Native Integration with AWS & GCP

As organizations move from basic LLM-based apps to autonomous AI agents, a new challenge has emerged: Shadow Agents. While the majority of enterprises are now experimenting with agentic systems, many are hitting a common wall: a lack of centralized visibility and control.

Without a robust framework for Agent Discovery and Governance (ADG), enterprises risk a wild west of autonomous tools that operate without oversight, threatening data privacy and business continuity.

Arthur’s Agent Discovery and Governance platform solves this by providing a definitive path to move beyond "vibe checks" and into trusted, production-grade AI systems. Whether your stack is built on Amazon Web Services (AWS) or Google Cloud Platform (GCP), Arthur is a native partner listed on both Marketplaces to ensure your agents are secure, visible, and governed.

What is Agent Discovery & Governance?

In a large enterprise, different departments often deploy various AI agents simultaneously across different cloud environments. Agent Discovery is the capability to automatically identify, catalog, and inventory every agentic system running within your infrastructure.

True discovery allows you to:

• Eliminate Shadow Agents: Create a single pane of glass for all agent activity company-wide.
• Optimize Resources: Identify redundant agents to prevent wasted compute and duplicative API costs.
• Cloud-Agnostic Visibility: Maintain a unified inventory of agents regardless of whether they are running on AWS, Google Cloud, or other cloud and on-prem environments.

As agents reason and act autonomously, governance must be dynamic and automated:

• Automated Policy Enforcement: Maintain real-time guardrails to prevent the mishandling of PII, block prompt injections, and ensure brand-safe outputs.
• Continuous Evaluation: Replace subjective reviews with measurable signals. By scoring agents on correctness, groundedness, and safety, you ensure that high-stakes reasoning remains reliable.‍
• Business-Aligned Monitoring: Tie agent behavior directly to KPIs. Prevent performance degrades and leverage governance capabilities that immediately alert and mitigate risk.

Native Integration: AWS and Google Cloud Marketplaces

Arthur is committed to meeting enterprises where their data lives. By being a native partner to both major Cloud Service Providers (CSPs), Arthur simplifies the path to production:

• Data Sovereignty: Govern agents natively within your preferred environment, whether using AWS Bedrock or Google Vertex AI, without moving sensitive data outside your secure cloud perimeter.
• Simplified Procurement: Purchase Arthur directly through the AWS Marketplace or Google Cloud Marketplace. This allows your governance spend to count toward existing cloud commit thresholds, streamlining approval from finance and procurement.
• A Unified Stack: Unify governance across agentic, generative, and traditional ML workloads while leveraging the native compute and data services (like S3 and BigQuery) you already trust.

Conclusion: Governance as an Accelerator

There is a common misconception that governance slows down innovation. In reality, it acts as an accelerator. When a platform provides a safety net—identifying failure modes and enforcing security automatically—teams can ship agents faster and with higher confidence.

By standardizing Agent Discovery and Governance on AWS and Google Cloud, your organization can transform experimental pilots into high-performance, reliable production assets.

Ready to secure your agentic future? Explore Arthur on the Google Cloud Marketplace or find us on the AWS Marketplace to start building with veracity, not just vibes.