04 / ORBITA MORE SECURE TOMORROW
16 / Agentic AI & MCP security

Give agents boundaries that hold.

Review the permissions, tools, memory, and approval paths of AI agents that can act inside your business.

Discuss your requirements

Specialist delivery and availability are confirmed during scoping.

Agent security

A clear scope.
A useful outcome.

Map what an agent can read, remember, delegate, and change. Examine the trust boundaries between users, models, tools, and other agents, including Model Context Protocol (MCP) integrations where present. Use approved workflows to check whether untrusted content can redirect an action or bypass a decision owner. Define a recovery path for an incorrect or interrupted action before expanding automation.

What we cover

  • Agent and tool identity, delegated permissions, and secrets
  • MCP server trust, tool descriptions, and integration boundaries
  • Memory isolation, cross-agent communication, and untrusted instructions
  • Human approval, action limits, audit trails, and safe termination

What you take away

  • Agent capability and trust-boundary inventory
  • Workflow abuse findings with controlled reproduction evidence
  • Permission, approval, and containment recommendations
  • Operational test cases for release and integration changes

The final scope, deliverables, and timing are agreed for your engagement.

FROM FIRST CONVERSATION TO FOLLOW-THROUGH
01

Understand

Start with your business, environment, and the decisions you need to make.

02

Assess

Agree the scope and examine the controls, configurations, and exposures that matter.

03

Prioritize

Translate findings into clear actions, accountable owners, and realistic next steps.

04

Improve

Support remediation, review the evidence, and keep the programme moving forward.

START A CONVERSATION

Let’s talk about agentic ai & mcp security.

Tell us what you need to protect. We’ll help turn the question into a clear scope of work.

Get in touch