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.
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.