Secure, Scalable, Policy-Driven
Manage AI agents, tools, and policies with enterprise-grade security. Three-layer security model ensures comprehensive protection for your AI infrastructure.
Everything you need to manage, secure, and scale your AI agent infrastructure
Comprehensive lifecycle management for AI agents. Track frameworks, states, and ownership with powerful search, filtering, and bulk operations.
Connect with popular services like Slack, GitHub, Snowflake, and more. Manage tool actions with risk-based tiering and granular access control.
Secure credential storage with encryption. Define authentication boundaries and apply per-credential guardrails for enhanced security.
Powerful policy-based access control (PBAC) with Rego support. Define fine-grained rules that join agents, tools, and credentials.
Deploy and manage runtime environments with mTLS security. Monitor health, sync policies, and track execution across clusters.
Test policies before deployment with interactive simulation. Visualize three-layer security decisions and validate access control rules.
Comprehensive audit trail of all access attempts. Track events, analyze patterns, and generate reports for compliance and security.
Native support for Model Context Protocol (MCP). Integrate with Cursor, Claude Desktop, and other MCP-compatible tools seamlessly.
Defense in depth with comprehensive access control at every level
Define authentication boundaries with credential providers. Maximum scope limits ensure agents can't exceed their intended permissions.
Apply per-credential restrictions with time windows, channel allowlists, and repository filters. Block or warn based on severity levels.
Policy-based access control at runtime with risk-tiered scope reduction. High-risk actions get minimal scopes; low-risk actions get full access.
Join leading enterprises using agntid.ai for comprehensive agent management