Scale agents
without losing control.
Palma.ai enforces identity, policy, and audit at the MCP layer—so agents can safely operate across teams and systems with consistent oversight.
Control without friction
How it works
Define policies at the MCP boundary
Set access rules for MCP servers and virtual compositions.
Standardize approvals for cross-team workflows
When an agent needs to cross a boundary, governance has a consistent workflow—not ad hoc exceptions.
Enforce identity and trace every call
Tie tool use back to the right enterprise identity and produce audit trails that make sense.
Monitor health and drift
Visibility into usage, anomalies, and operational risk as agent adoption expands.
Full visibility
Every action, tracked and governed
Total Calls
4,827Blocked
23Pending Approval
7Active Policies
12support-agent → delete_* requires manager_approvalCentral policy surface
Define who can call what, where, and on whose behalf—once, consistently enforced.
Cross-boundary safety
Enable agents to span systems owned by different teams with approvals and clear boundaries.
Auditability you can stand behind
Every action is traceable to an agent, a user, a decision, and an outcome.
The enterprise problem Palma solves
Agents don't just "answer questions"—they touch systems. At scale, the risk isn't the model: it's uncontrolled tool access, unclear ownership, and missing audit.
Palma.ai makes the MCP layer a stable control point so your organization can move fast without turning each agent use case into a bespoke security project.
What you get
Policy enforcement for MCP tool access and actions
Identity-aware controls (who / what / where / on whose behalf)
Audit trails for tool calls and outcomes
A governance surface that scales as the company rolls MCP out broadly
Enable real automation—without uncontrolled access.
One platform for
every role.
Palma.ai serves Agent Builders who need reliable tools, MCP Developers who ship capabilities, and Governance Teams who ensure safe scaling.