Agentic AI & MCP security

Give agents boundaries that hold.

Specialist delivery and availability are confirmed during scoping.

THE RIGHT STARTING POINT

For teams using agents for support, engineering, research, or operational workflows. Live destructive actions are excluded unless explicitly authorized in an isolated test arrangement.

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.

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

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

How to engage

Architecture workshop and scoped workflow assessment, with implementation support by agreement.

What progress looks like

Sensitive actions covered by enforceable authorization, auditable approvals, and exercised stop conditions.

Before the engagement.

Agree the systems and business processes in scope, the authorisation required, the people involved and how the findings will be used. Timelines, deliverables, exclusions and any verification work should be confirmed directly.