MAIAH Governance is the foundation of the ECV MAIAH, providing centralized monitoring, control, and governance for all AI Agents.
It enables enterprises to maintain visibility, manage risks, control costs, and ensure accountability across AI operations at scale.
In an Agent-centric corporate landscape, the ultimate priority is no longer just deployment, but strategic governance. MAIAH functions as the Excellence Center for enterprise AI, providing a robust Control Tower to oversee autonomous operations. By aligning with OWASP Top 10 for LLM protocols and real-world operational demands, MAIAH ensures that every AI Agent remains secure, cost-efficient, and fully auditable, transforming raw AI potential into a managed corporate asset.
Highlights
Full-Spectrum Transparency
Acts as the "Digital Black Box" for all AI interactions. By logging every decision path between Agents and legacy systems (ERP/KM), MAIAH ensures strict accountability and mitigates OWASP LLM06 (Excessive Agency), making AI operations fully transparent for regulatory compliance.
Privacy-First Data Orchestration
Enforces a "Privacy-First" architecture by integrating with corporate SSO/IAM. It proactively defends against OWASP LLM02 (Sensitive Information Disclosure) by masking PII in real-time, ensuring AI Agents only access data within their authorized boundaries.
AI FinOps & Resource Monitoring
Provides granular visibility into Token usage and API costs. This prevents OWASP LLM10 (Unbounded Consumption) and billing anomalies, enabling Mini P&L managers to accurately allocate costs and optimize the ROI of their AI investments.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
MAIAH Governance offers four contract tiers: Freemium, Starter, Professional, and Premium. Each tier is priced as a unit under a contract commitment. The tiers form a graduated structure, letting you choose a level that matches your usage needs. Freemium provides an entry point, while Starter, Professional, and Premium step up in scope. You pick one tier per contract rather than combining them. This tool supports AI agent governance, including permission controls, cost management, and security oversight. Pricing scales as you move from lower to higher tiers.
Top-of-mind questions for buyers
What does one unit represent in each MAIAH Governance tier?
Each tier is billed as a single unit under a contract commitment. One unit gives you access to that tier's governance capabilities, including permission controls, cost management, and security oversight. You choose one tier per contract rather than counting individual users or agents at the unit level.
How do I move from a lower MAIAH Governance tier to a higher one?
You select one tier per contract: Freemium, Starter, Professional, or Premium. Moving up means committing to a new tier rather than adding to your current one. The tiers step up in scope, so a higher tier expands the governance features available to you.
What governance features does MAIAH Governance cover across tiers?
The tool supports AI agent governance, including role and permission controls, cost management, and security oversight. These capabilities help you manage how agents operate, who can access them, and how spending is tracked. Higher tiers expand the scope of these governance functions.
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MAIAH is an enterprise AI agent platform designed to help organizations build, manage, govern, and extend AI assistants across business workflows. Built for AWS environments, MAIAH provides a centralized interface for agent and tool management, authentication, role-based access control, observability, usage monitoring, knowledge management, workflow integrations, and porting existing agents, tools, and automation workflows into a governed AI platform.
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