Arthur’s agent discovery and governance platform is now available on the Google Cloud Marketplace
Starting immediately, enterprises can discover, govern, monitor, and continuously evaluate next-generation AI systems entirely within their Google Cloud environments.
According to McKinsey, 62% of organizations are already experimenting with agentic systems, with many reporting positive EBIT impact. However, most enterprises still lack the production-grade controls required to safely run agentic systems at scale. Embracing a comprehensive agentic governance approach is crucial to preventing chaos, security nightmares, and business continuity issues.
Unlike traditional software, agentic AI applications reason, plan, and act autonomously, often across multiple tools, data sources, and workflows. As agents proliferate across internal and customer-facing systems, organizations face new challenges they cannot manage with legacy monitoring or MLOps tooling:
- Incomplete visibility into what agents exist and where they run
- Difficulty scaling from experimentation to trusted production systems
- Limited insight into where and how agents break, and ways to address these hotspots
- Growing exposure to security, compliance, and brand risk
In short, agentic AI is already being pushed to production, but its reliability, sustainability, and continuous improvement hinges on applied discovery and governance.
Arthur Brings Production-Grade Discovery and Governance Natively to Google Cloud
Arthur provides governance for both third-party and internally built agentic AI applications, supporting teams in their holistic approach to quick innovation. By running natively inside Google Cloud, Arthur allows organizations to govern AI systems without moving data outside their cloud environment or introducing operational complexity.
Arthur is available directly through Google Cloud Marketplace, making it easy for organizations to procure and transact, while also allowing spend to count toward commit thresholds already approved by procurement and finance teams.
While Google Cloud provides the foundational infrastructure to build and deploy generative and agentic AI at scale, Arthur completes this stack by adding the discovery and governance capabilities required for reliable outcomes.
Together, Arthur and Google Cloud support enterprises building with:
Vertex AI + Arthur
Vertex AI powers training, fine-tuning, evaluation, and deployment of models and agents. Arthur adds agent discovery, agentic governance, continuous evaluation, and actionable performance insights across these workflows.
Gemini Models + Arthur
Gemini Enterprise and Google’s broader Gemini family enable advanced agentic and generative AI use cases. Arthur provides structured checks, granular behavior analysis, and automated evaluation of generative outputs to reduce risk and improve reliability.
GCP Data & Compute + Arthur
Arthur integrates across BigQuery, Cloud Run, App Engine, Data Cloud services, and Google Kubernetes Engine (GKE), unifying governance across agentic, generative, and traditional ML workloads - while keeping data securely inside customer-controlled GCP environments.
“Bringing Arthur to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the company’s governance platform for agentic AI applications on Google Cloud’s trusted, global infrastructure,” said Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud. “Arthur can now securely scale and support companies using its platform to govern, monitor, and continuously evaluate next-generation AI systems entirely within their Google Cloud environments.”
Accelerating Teams from Experimentation to Production
Many enterprises find that agentic AI pilots move swiftly until concerns about risk, reliability, or oversight slow progress. Arthur is designed to remove this very bottleneck.
By embedding discovery and governance directly into enterprises’ Google Cloud ecosystems, Arthur enables teams to:
- Automate Discovery: Instantly find and catalog agents company-wide
- Unify Monitoring: Monitor and govern internal and external AI solutions
- Continuously Evaluate: Monitor performance aligned specifically to agent tasks
- Manage Policies: Enforce acceptable use and security policies for agent interactions
- Safeguard sensitive data: Protect mis-handling of data like PII and company IP
- Operationalize Controls: Maintain standards and get alerted immediately if thresholds are crossed
“Enterprises are moving fast with the Google Cloud stack, but reaching production remains a challenge,” said Ashley Nader, Lead Product Manager at Arthur. “We want to bring governance directly into Google Cloud so teams can improve performance, reduce risk, and reach production faster - without added complexity.”
End-to-end Agent Development Lifecycle with Arthur on Google Cloud
With Arthur now available on Google Cloud Marketplace, teams can leverage tooling for the entire lifecycle of agent development.
Arthur introduced the Agent Development Lifecycle (ADLC) to help organizations systematically build, validate, deploy, and improve agentic systems:
- End-to-end agent observability: full visibility into prompts, tool calls, decisions, and outcomes across development and production
- Automated evaluations across the ADLC: continuous, out-of-the-box and custom evals that replace subjective “vibe checks” with measurable reliability signals
- Rapid iteration and experimentation: compare prompts, models, and agent logic without introducing regressions
- Production-grade monitoring: real-time detection of failures and anomalous agent behavior in live systems, with ability to configure alerts when performance degrades
- Policy enforcement capabilities: ensure outputs are on-brand, sensitive data is secure, and agents behavior is in line with organizational standards
- Business-aligned reliability metrics: tie agent performance directly to relevant KPIs
This native integration allows organizations to standardize workflows, reduce operational friction, and maintain continuous insight into how agentic systems behave where and when it matters most.
Get Started Today
Arthur is available today on the Google Cloud Marketplace, giving enterprises the fastest and most robust way to scale AI governance and observability within Google Cloud - without added procurement or integration overhead.
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