MCP Made Your Tools Discoverable. AppSentinels Makes Them Governable
Map every MCP server, tool, agent, and API dependency, then enforce ownership, intent, and business logic on every tool call in real time.
Map every MCP server, tool, agent, and API dependency, then enforce ownership, intent, and business logic on every tool call in real time.
Gain visibility into what’s happening inside MCP tool interactions. Expose and govern every MCP server, tool, agent, and action to prevent unauthorized access, misuse, and workflow manipulation.
A malicious or compromised MCP server ships tool descriptions crafted to steer the agent into actions the user never requested.
A tool description, schema, or behavior changes after the MCP server was approved, turning a sanctioned tool into an attack vector.
A tool returns output containing instructions the agent treats as authoritative, pivoting the workflow toward exfiltration or unauthorized actions.
An agent chains its way to a tool it should never have been able to reach, often through a sanctioned tool that exposes more than intended.
The MCP server’s own privileges exceed the requesting user’s, and a tool call ends up accessing objects the user couldn’t access directly.
Developers wire up new MCP servers without registering them, creating ungoverned execution paths into production data.
AppSentinels applies the same three pillars that secure your AI agents and APIs to the MCP layer that now sits on top of them.
Inventory every MCP server, tool, agent, and downstream resource the moment it appears, including shadow servers and unregistered tools.
Continuously probe the MCP surface with adversarial agents tuned to the attacks that matter at this layer.
Enforce ownership, intent, and sequence on every MCP tool call; inline through the AppSentinels MCP Proxy or out-of-band via sensors.
A purpose-built enforcement point for the MCP layer. Deploy in-line to enforce every tool call, or out-of-band to observe and learn before turning enforcement on. Either way, the BLG drives the decision.
Passive observation via sensors. Full visibility, zero added latency, used for greenfield discovery and progressive rollout.
Works with the agent frameworks your teams use: LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, and managed runtimes like AWS Bedrock AgentCore.
Take control of shadow AI extensions, find logic vulnerabilities automatically, and run real-time security enforcement across your whole workflow ecosystem.
AppSentinels maps every MCP server, tool, agent, and API dependency, then enforces ownership, intent, and business logic on every tool call in real time. Since MCP lets autonomous agents execute actions and query systems directly, AppSentinels closes the gap that traditional application controls were never built to cover.
AppSentinels continuously inventories every MCP tool, including its schema, permissions, and data scope, and flags rug-pull events the moment a tool’s description or behavior changes after approval. This catches malicious or compromised MCP servers before a sanctioned tool can be turned into an attack vector.
No. Traditional tools inspect static traffic parameters but lack the linguistic and contextual awareness to understand AI agent behavior. AppSentinels authorizes tool calls at the point where data actually moves, distinguishing a legitimate agent function call from an exploited, multi-step business logic attack.
The AppSentinels MCP Proxy is a purpose-built enforcement point that sits inline or out-of-band on the MCP layer. In inline mode, it authorizes every tool call against the Business Logic Graph before it reaches the server and inspects tool outputs for indirect prompt injection before they re-enter the agent’s context.
AppSentinels automatically discovers sanctioned and unregistered MCP servers the moment they appear, closing off the ungoverned execution paths that shadow servers create into production data.