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AI SecurityServices

MCP / Agent Security

We review your AI agents’ tool calls, MCP server integrations and permissions, and design controls that stop an attacker from steering the agent.

Scope

  • MCP server and tool definition review
  • Tool poisoning and indirect injection
  • Permission, approval and sandbox design
  • Monitoring of agent actions

Approach

  1. 01

    System map

    We map models, data sources, tools and user interactions.

  2. 02

    Threat modeling

    We define injection, data leakage and abuse scenarios.

  3. 03

    Attack and evaluation

    We challenge the system with manual and automated attack sets.

  4. 04

    Guardrails

    We recommend permission boundaries, validation and monitoring.

Deliverables

  • AI threat model
  • Successful attack examples with evidence
  • Guardrail and architecture recommendations
  • Re-evaluation results

Let’s define the scope together.

Tell us what you need and our specialists will prepare a tailored proposal.