Aembit
GatewayIdentity-based access control for AI agents and MCP servers.
Secure your MCP deployments before they become an attack path. Independent tools, checklists, and field notes for security teams and AI platform engineers.
Traditional API security assumes predictable request paths and fixed permissions. MCP flips that model: an LLM decides at runtime which tool to call, with what arguments, and how to interpret the result.
That means standard WAFs, API gateways, and static policy engines often miss the risks unique to agentic tool use.
Short reviews with what each tool does, where it fits, and what to watch out for.
Identity-based access control for AI agents and MCP servers.
Open-source MCP gateway with policy enforcement and audit logging.
Enterprise gateway for AI agent tool access with policy controls.
Commercial MCP gateway and management layer for teams.
Open-source framework for testing LLM vulnerabilities and agent tool abuse.
SIEM and observability platform for agent tool call logging and anomaly detection.
A practical checklist for securing Model Context Protocol deployments.
GuideWhat security risks are specific to MCP deployments and how to defend against them.
GuideHow attackers can hijack agents through malicious MCP servers and what to detect.