AI & LLM
Agentic AI & MCP Security Testing
Tool abuse, excessive agency and MCP server flaws in agents that take real actions.
Scoped to your environmentFixed proposalFree retest within 6 monthsNamed operator
What is Agentic AI and MCP Security Testing? Agentic AI security testing assesses AI agents that call tools, APIs and Model Context Protocol (MCP) servers. It focuses on whether an attacker can make the agent take unauthorized actions, escalate privileges or move data out.
What we test
- MCP server code & authorization review
- Tool poisoning and tool-description injection
- Excessive agency (OWASP Agentic Top 10)
- Cross-agent trust in multi-agent systems
- Exfiltration through connected services
- Human-in-the-loop bypass
What you get
- Named operator from kickoff to readout
- Kill Chain Replay™ attack paths with evidence
- Risk-rated findings and remediation guidance
- Framework mapping for your auditor
- Live readout call
- Free retest of all findings within 6 months
Agentic AI & MCP Security Testing FAQ
What makes MCP servers risky?
They give an AI model direct reach into files, APIs and systems. A flaw in a server, or a poisoned tool description, can turn a single prompt into file access or data exfiltration.
Can you test agents built on OpenAI, Anthropic or open-weight models?
Yes. We test the agent architecture and its integrations regardless of model provider.
What do we receive at the end?
An executive summary, Kill Chain Replay™ attack paths, risk-rated findings mapped to the relevant frameworks, remediation guidance, a readout call and a free retest of every reported finding within 6 months.