Agentic Hub
Governs what AI agents can do.
Enterprise MCP governance for regulated life sciences. As AI agents call external tools — 97M+ monthly SDK downloads and growing — the Agentic Hub ensures every tool interaction is verified, traced, and compliant.
The MCP Threat Landscape
AI agents are the new attack surface. Three documented vectors that the AI Gateway cannot mitigate because they occur at the tool layer, not the LLM layer.
Tool Poisoning
Malicious actors inject harmful instructions into tool descriptions, causing agents to execute unintended actions.
Rug-Pull Attacks
Tool providers silently change tool behavior after approval, turning previously safe tools into data exfiltration vectors.
Agent Chain Exploits
Multi-step agent workflows where one compromised tool call cascades unauthorized actions through the entire chain.
Key Capabilities
Tool Signature Verification
Every MCP tool call is cryptographically verified before execution. Ensures agents only interact with trusted, approved tools — preventing tool poisoning and unauthorized access.
Rug-Pull Defense
Detects when external tool providers silently change tool behavior after initial approval. Continuous verification ensures the tool your agent calls today is the same tool you approved yesterday.
Agent Chain Tracing
Full reconstruction of every agent decision chain. See exactly which tools were called, in what order, with what inputs and outputs — creating an auditable record for regulators.
Pre-Execution Approval Workflows
Define policies that require human approval before agents execute high-risk tool calls. Configurable by risk level, tool category, and data sensitivity.
Policy Engine
Declarative policy definitions for what agents can and cannot do. Version-controlled, audit-logged, and enforceable across all agent interactions.
Part of The BioCompute AI Foundation