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Mirawyn

Secure your AI

Agent and MCP Security

Security for AI agents that read, write and act: tool permissions, Model Context Protocol (MCP) servers, identity and sandboxing.

Why it matters

An agent that can send email, run code or call internal APIs turns a successful prompt injection into a real-world action. Excessive agency is now one of the fastest-growing sources of AI risk.

Mapped to

  • OWASP Top 10 for Agentic Applications
  • OWASP Top 10 for LLM Applications
  • MITRE ATLAS

What we cover

  • Inventory of agent tools, permissions and reachable systems
  • Review of MCP servers and third-party tool integrations
  • Least-privilege design and scoped, short-lived credentials for agents
  • Sandboxing for code execution and browsing
  • Human approval for high-impact or irreversible actions
  • Audit logging that records what the agent did and why

How an engagement runs

  1. 01

    Map agency

    Catalogue every tool, permission and data source each agent can reach.

  2. 02

    Constrain

    Design least-privilege scopes, egress limits and approval gates.

  3. 03

    Test

    Attempt to hijack the agent through its inputs, memory and tools.

  4. 04

    Operate

    Set up logging and alerts for unusual agent behaviour.

What you receive

Clear outputs your engineers, leadership and auditors can each use.

  • Agent permission map and blast-radius analysis
  • MCP server and tool integration review
  • Hardened configuration and policy recommendations
  • Adversarial test results against your agents

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Ready to talk about Agent and MCP Security?

Tell us what you are building. We will come back with a short, honest view of where the risk is and what it would take to test it.

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