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Find out what your AI agents can be tricked into doing before someone else does. Book an AI agent and MCP security review with ProsperaSoft.
Security Reviews for LLM Apps, Agents and MCP
Agents read untrusted content such as emails, web pages, documents and tickets, and then call tools with real permissions. That combination enables indirect prompt injection, data exfiltration, tool poisoning, confused-deputy attacks and runaway actions. Traditional application security tests do not cover these risks.
We assess your system against the OWASP Top 10 for LLM Applications and agentic AI guidance: architecture and data-flow review, permission and MCP server review, hands-on adversarial testing, and a prioritised report with fixes that our engineers can implement.
Why ProsperaSoft for AI Security
We build AI agents and MCP servers ourselves, so we know where they break in practice: overly broad tool permissions, secrets in prompts, unvalidated tool inputs, missing human approval and no audit trail.
Our security engineers also run Wazuh SIEM deployments and API security work, so findings come with practical monitoring and detection, not just a list of risks.
AI Security Services
Prompt Injection Testing
Direct and indirect injection, jailbreaks and instruction hijacking through documents, web pages, emails and tool outputs.
Agent Permission Review
Least-privilege review of every tool, API key and action, with approval gates for high-impact operations.
MCP Server Security Review
Authentication, OAuth scopes, tool descriptions, input validation, transport security and supply-chain risks of third-party servers.
Data Leakage Assessment
Tests for PII, secrets and cross-tenant data exposure through prompts, retrieval, logs and outputs.
Guardrails and Monitoring
Input and output filters, allow-lists, rate limits, audit logs and alerts wired into your SIEM.
AI Governance Setup
Policies, inventories of agents and MCP servers, risk registers and review processes for new AI use cases.
What We Review
Chatbots and Assistants
Customer-facing and internal assistants built on OpenAI, Claude or open models.
Autonomous Agents
Agents that browse, send email, write code or update records.
MCP Servers
Your own and third-party MCP servers used by Claude, ChatGPT or IDE assistants.
RAG Pipelines
Document stores and retrieval that can carry poisoned or confidential content.
TECHNICAL EXPERTISE
Frequently asked questions
What is prompt injection?
Prompt injection is an attack where text in a user message or in content the AI reads, such as a web page, email or document, contains instructions that override the system's intended behaviour, for example to reveal data or misuse a tool.
Why do AI agents need a separate security review?
Agents combine untrusted input with the ability to act through tools and APIs. Classic application tests do not check whether an agent can be manipulated into leaking data or taking harmful actions, so these risks need targeted testing.
Are MCP servers a security risk?
They can be. An MCP server gives AI clients access to tools and data, so weak authentication, broad permissions, unvalidated inputs or malicious third-party servers can expose your systems. We review and harden them.
What standards do you test against?
The OWASP Top 10 for LLM Applications, OWASP agentic AI guidance and the MCP security best practices, adapted to your architecture and industry requirements.
Do you fix the issues you find?
Yes. Along with the report, our engineers can implement fixes such as permission changes, guardrails, approval steps, logging and monitoring.