We love MCP but so do Attackers. Secure your agent’s tool usage today!

MCP Shield introduces AI security into your Agents tool usage via the Model-Context Protocol. Agentic AI builds must be secured at the fundamental level don’t have vulnerabilities from the start.

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Agentic AI introduces dynamic, composable reasoning and a new layer to defend.

Today’s agents aren’t just prompting LLMs they’re orchestrating tools, memory, and logic chains through the Model Context Protocol (MCP).

That makes MCP a rich new target:

Prompt injection at runtime
Malicious tool invocation
Memory state poisoning
Chained agent subversion

Without protection, your agents can be misdirected, manipulated, or worse weaponized.

Real-time runtime enforcement at the protocol layer

Toolchain abuse prevention
Memory & scratchpad validation
Injected prompt & instruction blocking
Agent decision path inspection
Inter-agent behavior guardrails

Our MCP Shield intercepts and secures agent activity where the model meets action.

How It Works

Protocol Layer Interception
Deploys alongside agentic frameworks (LangChain, Autogen, CrewAI) to monitor agent runtime behavior.
Contextual Integrity Engine
Validates instructions, tool usage, memory, and decisions based on policy or behavior baselines.
Zero Trust for Agents
Apply real-time rules to block anomalies, alert on drift, and enforce safe agent execution.

Built for Teams That Ship AI

Dev & MLOps: Secure your LangChain or CrewAI agent pipelines.
Security & GRC: Gain visibility into real-time agent behavior.
Founders: Secure your agents. Differentiate your product. Faster launches, fewer blockers, bigger wins.

Because Your Firewall Can’t Parse a Plan

MCP attacks aren’t happening at the network.They’re happening inside the agent’s logic.
Trustwise MCP Shield is runtime protection for the systems AI now controls.