Safeguard your MCP deployments at the source with dynamic access controls, ensuring every agent action aligns with your identity and security policies.
Confidently move forward with your AI initiatives knowing they are properly secured
Dynamically enforce contextual access policies that protect all AI requests
Ensure your AI services only share data with properly authorized users
SGNL acts as a gateway between AI agents and your systems—enforcing policy at every step.
Former CSO, Cloudflare, Facebook, Uber
AI agents are the new Shadow IT—fast-moving, autonomous, and invisible to legacy IAM. SGNL changes that by bringing identity-based governance to every MCP interaction.
Acting as policy enforcement between MCP clients and servers, SGNL makes real-time access decisions based on the end user’s identity, the agent, operational context, and defined policies. This prevents agents from querying what they shouldn’t, taking improper actions, or exposing sensitive data.
SGNL also becomes the authoritative registry of all MCP servers across the enterprise, no matter where those servers are actually deployed. This gives organizations a centralized, unified view of AI agent access points, and ensures consistent governance, simplifies auditing, and establishes a single source of truth for agent interaction with enterprise systems.
SGNL stops agents from overreaching—preventing inappropriate queries, actions, or exposure of sensitive data.
Continuously enforce access decisions based on identity, context, and policy for every AI request, limiting the actions (MCP tools) that AI can execute on behalf of users or other AI agents. By relying on SGNL’s identity data fabric, consistent policies can be deployed throughout the enterprise.
Every AI agent action is evaluated using the end user’s identity, device posture, request type, and any other enterprise-defined security policies in SGNL’s policy engine and connected systems across the identity data fabric.
SGNL provides the list of tools your agents can use and use appropriately. Regardless of where those MCP servers are running, SGNL provides a consistent, authorized “menu” of what skills and tools that enterprise agents can use and the conditions under which it is ok for people to use them.
SNGL’s built-in MCP Gateway enables you to quickly configure and protect all of your important MCP servers that can expose critical data and privileged actions to your organization. Adhering to the MCP standards, SGNL seamlessly integrates between your existing MCP clients and servers to give you control over and visibility into all your AI interactions.
SGNL helps you launch your AI initiatives safely — without opening the door to over-permissioned access.
