Agentic AI & MCP Security Assessment

Secure the Agents That Can Act on Your Behalf

AI agents do not just answer — they call tools, read inboxes, run code and move data. We test agentic systems and Model Context Protocol (MCP) servers for the ways that power gets abused: tool poisoning, excessive agency, privilege escalation through scope creep, confused-deputy attacks and supply-chain tampering. The assessment covers the agent, its MCP servers and transport, registered tools, prompt templates, upstream APIs and the data stores behind them.

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What's Included

Comprehensive service features designed to meet your security and development needs.

MCP Server Review

Authentication, token handling, transport security and tool schemas of every MCP server your agents connect to — first-party and third-party.

Tool Poisoning & Rug-Pull Testing

Malicious tool descriptions and tools that behave well at install time and change later. We check whether your agent can be steered by the tools it trusts.

Excessive Agency & Permissions

What can the agent actually do if it is manipulated? We map tool permissions against least privilege and test for scope creep across chained tool calls.

Cross-Agent & Memory Attacks

Injection that propagates between agents, poisoned long-term memory and intent hijacking in multi-agent workflows.

Human-in-the-Loop Controls

Verify that approval steps, kill switches and audit logs really stop and record high-impact actions — and cannot be talked around.

Framework Mapping

Findings mapped to the OWASP Agentic Security Initiative, CSA agentic MCP guidance and MITRE ATLAS.

Key Benefits

Why organizations choose this service

Ship agents with permissions you can defend to an auditor

Catch poisoned or over-privileged third-party MCP tools before they reach production

Proven approval and kill-switch controls for high-impact actions

Clear, prioritised hardening plan for agent, tools and infrastructure

Technologies We Use

Model Context Protocol (MCP)OWASP Agentic Security InitiativeCSA Agentic MCP GuidanceMITRE ATLASLangGraphOpenAI Agents SDKClaude Agent SDK

Our Methodology

A proven four-phase approach combining automated tools and manual expertise

01

Reconnaissance & Planning

Threat modeling, attack surface mapping, asset inventory, and scope definition.

02

Deep Analysis & Testing

Manual code review, automated scanning, penetration testing, and vulnerability exploitation.

03

Reporting & Prioritization

Technical report with CVSS scoring, remediation roadmap, and secure coding guidance.

04

Remediation & Retest

Developer support, patch validation, regression testing, and final security sign-off.

Comprehensive Security Report Includes

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Executive Summary
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Vulnerability Details
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Impact Analysis
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CVSS Scoring
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Proof of Concept
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Remediation Steps
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Code Snippets
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Timeline & Metrics

Ready to Get Started?

Contact us today to discuss your agentic ai & mcp security assessment needs and receive a custom proposal.