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Frequently Asked Questions

Common questions about Palma.ai's enterprise governance layer for MCP — identity & policies, compliance, FinOps, agent accuracy, and deployment.

General

Identity, Policies & Audit

Compliance & Regulation

FinOps & Cost Control

Agent Accuracy & Performance

Deployment & Integration

Competitive & Strategic

Getting Started

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Frequently Asked Questions

General

What is Palma.ai in one sentence?

How does Palma.ai relate to MCP?

Who is Palma.ai for?

Why do we need a governance layer on top of MCP?

What's a Space?

What's a Pack?

Identity, Policies & Audit

What is three-principal identity?

What are parameter-level policies (TBAC)?

What approval workflows does Palma support?

What does the audit trail look like?

Compliance & Regulation

How does Palma help with EU AI Act compliance?

Does Palma support SOC 2 and DORA requirements?

Can Palma help us pass a security review or compliance audit?

FinOps & Cost Control

How does Palma track AI agent costs?

Can we set budget limits on agent usage?

Agent Accuracy & Performance

How does governance make agents more accurate?

Will Palma slow our agents down?

Deployment & Integration

How is Palma deployed — SaaS, on-prem, VPC?

How does Palma integrate with our identity provider?

What data flows through Palma?

Which agent frameworks and LLMs does Palma support?

Competitive & Strategic

How is Palma different from an API gateway?

How does Palma compare to other MCP security tools?

Are we locked into Palma if we adopt it?

How does Palma future-proof our AI stack?

Getting Started

What's the typical starting point?

What if we're still in the pilot phase with AI agents?

How quickly can we get to production?

Latest Blog Posts