Stop Shadow AI. Secure, govern, and audit your autonomous AI workforce. AgentGate is the Okta for AI Agents — giving every agent a cryptographic identity, scoped permissions, and a tamper-proof audit trail.
The Problem
Every LangChain pipeline, every CrewAI crew, every MCP-connected tool — they all act autonomously with API keys, database credentials, and system-level permissions. No identity. No audit trail. No governance. Your compliance team can't see them. Your security team can't stop them. That's Shadow AI.
of enterprises have no visibility into AI agent actions
more API calls from agents than human users by 2026
average cost of a data breach caused by unmanaged automation
Core Features
From identity provisioning to real-time audit — a complete IAM layer purpose-built for autonomous AI workloads.
Assign each AI agent a unique, verifiable identity with X.509 certificates and mTLS. Know exactly who — or what — is acting in your infrastructure.
Issue temporary, scoped access tokens that auto-expire. No more long-lived API keys floating in environment variables.
Define granular policies: "Agent X may call Tool Y only for Customer Z during business hours." Enforce least-privilege at the agent level.
Every agent action — every API call, every tool invocation, every data access — is logged with cryptographic integrity. SOC 2 and ISO 27001 ready.
Drop-in SDKs for LangChain, CrewAI, and MCP. Three lines of code to secure your entire agent fleet.
Use Cases
From finance to healthcare — AgentGate meets the compliance requirements your AI agents can't ignore.
Financial Services
A hedge fund deploys 200+ AI agents for market analysis and trade execution. AgentGate ensures each agent can only access approved data feeds, execute trades within defined risk limits, and every action is logged for regulatory compliance (MiFID II, SEC).
Healthcare & Insurance
An insurance company uses AI agents to process health claims. AgentGate enforces HIPAA-compliant access: agents can only read patient data for their assigned claims, with automatic token revocation after processing and full audit trails for regulators.
AI Platform Builders
A SaaS company offers an AI agent platform to enterprise customers. AgentGate provides tenant isolation — each customer's agents are cryptographically separated, with per-tenant policies, usage tracking, and compliance reporting.
Architecture
AgentGate sits between your AI agents and every external tool, API, or data source — enforcing identity, policy, and audit at the network layer.
Your AI Agents
External Services
$AGATE Token
$AGATE is a Solana-based utility token that powers access, governance, and security across the AgentGate protocol. Launched 100% fairly on pump.fun — no presale, no VC allocation.
Token Utility
Stake or spend $AGATE to access the AgentGate API. The more you stake, the higher your rate limits and agent registration quota.
Developers stake $AGATE as a security bond for their agents. Malicious or non-compliant agent behavior results in partial slashing — aligning incentives for safe AI.
$AGATE holders vote on protocol upgrades, new framework integrations, supported chains, and treasury allocations. One token, one vote.
Unlock extended audit log retention, advanced analytics dashboards, enterprise-grade SLA support, and priority access to new integrations.
$AGATE is a utility token. This is not financial advice. Cryptocurrency investments carry significant risk. Always do your own research (DYOR) before participating.
Roadmap
A transparent, community-driven roadmap for the AgentGate protocol and $AGATE ecosystem.
Phase 1
Phase 2
Phase 3
Pricing
Transparent pricing that grows with your AI agent fleet.
Built for Developers
Our Python SDK integrates with your existing agent framework in minutes. Register agents, request scoped tokens, and enforce policies — all with a clean, Pythonic API.
from agentgate import AgentGate, Policy# Initialize the clientgate = AgentGate(api_key="ag_live_...")# Register an agent identityagent = gate.register_agent( name="research-agent-01", framework="langchain", team="data-science")# Request a scoped, time-limited tokentoken = agent.request_token( tool="salesforce_api", scope=["read:contacts", "write:notes"], customer="acme-corp", ttl=300 # 5 minutes)# Use the token — AgentGate logs everythingresponse = agent.call( tool="salesforce_api", action="get_contacts", token=token)# Enforce policies declarativelygate.add_policy(Policy( agent="research-agent-*", tool="salesforce_api", allow=["read:contacts"], deny=["delete:*"], conditions={"hours": "09:00-18:00"}))Integrations
Drop-in compatibility with the frameworks and providers you already use.
LangChain
Native SDK
CrewAI
Full Support
MCP
Protocol Compatible
OpenAI
API Gateway
Anthropic
API Gateway
Join the waitlist for early access. Be among the first to bring identity, governance, and compliance to your autonomous AI workforce.
FAQ