Identity, Credentials and Access Control for AI Agents and MCP Servers

DeepTrail is the company behind DeepSecure, a security platform that lets developers add authentication, authorization, and permissions management to AI agents and Model Context Protocol (MCP) servers. Rather than relying on hard-coded API keys, DeepSecure assigns each agent a unique cryptographic identity using Ed25519 keys, then issues ephemeral, time-bound credentials at runtime. The goal is to bring enterprise-grade identity and access management to autonomous agents without forcing teams into complex configuration.

At its core, DeepSecure pairs an agent identity service with a policy engine that enforces fine-grained, role-based access control. Agents receive only the permissions their role requires, and they can securely delegate temporary, restricted permissions to sub-agents for specific tasks, with audit logging throughout. This delegation model fits multi-agent architectures where, for example, a research agent reaches web search APIs while an analysis agent calls AI services and a reporting agent writes to document storage.

Aimed at fast-moving AI developers, DeepSecure is distributed as an open-source project under the Apache 2.0 license and integrates into agent code with only a few lines. It supports popular orchestration frameworks such as LangChain and CrewAI and is designed to run across AWS, GCP, and Azure. By centralizing non-human identity, short-lived credentials, and access policy, DeepTrail helps teams secure inter-agent communication and resource access from prototype through production.