Builders
Builder Registry
Companies building AARM-conformant systems and products aligned with the AI agent runtime security problem space.
| status | meaning | how to get listed |
|---|---|---|
Conformant | Satisfies AARM specification requirements (R1–R6 Core or R1–R9 Extended) | Complete the testing protocol → |
Aligned | Building in the same problem space; no conformance testing required | Submit a PR on GitHub → |
A unified platform to secure and govern your AI and agents, delivering enterprise-grade protection.
One platform for MCPs, Skills, and Agents, with purpose-built security, fine-grained governance, and complete observability.
Formal enforces least-privilege at the wire protocol layer for humans and AI agents.
Discover, Detect, and Defend your AI, Agents, and MCP in real-time.
Enterprise governance platform for AI agents and MCP servers.
Identity-native control plane for AI agents — discover, govern, and secure agents and their access to resources.
AI Security and Governance platform with runtime security at two layers: an AI Gateway intercepts every model call and an MCP Gateway intercepts every tool call, both feeding a shared Policy Engine with prompt-injection, DLP, and identity-aware controls.
Lasso is the AI Security Platform built for the agentic era.
The most comprehensive security platform for AI.
The easy and secure way for people and agents to use MCP.
AI Detection and Response Platform.
Your Agents Have Real Access. Give Them Real Defense.
Runtime Assurance for AI Agents. Complete visibility and control.
Build and Run Secure AI Systems.
Thoth enforces behavioral policies on AI agent tool calls at the SDK layer.
Agentic AI governance and security gateway for enterprises.
Intent is the new perimeter.
A runtime security control plane for AI agents.
Intent-to-action control layer for AI agents.
End-to-end security for autonomous AI systems.
Agentic Access Management for fast-moving companies.
Full Stack authorization as a service.
Enforcement layer for agents that blocks malicious or accidental actions.
Pre-execution assurance for automated and AI-driven systems.
A local, Rust-based runtime firewall for AI agents.
Authorizes AI agent actions in real time by evaluating intent and business context.
Self-hosted runtime control plane for AARM-conformant policy enforcement.
Runtime enforcement platform for AI agents with identity-aware policy controls.
The multimodal security layer for AI agents.
Runtime security platform for deterministic control over autonomous agents.
Dev tool giving control and visibility over agents and MCP actions.
AI Security and Governance for laptops.
Preemptive cybersecurity platform for AI agents.
Unified enterprise Agent security platform with real-time protection.
Runtime governance for AI-era systems.
Discovers running AI, measures exposure, and provides control.
Open-source firewall for AI agents. Single binary, no cloud required.
Real time security monitoring and control with cognitive reasoning.
Runtime security layer observing, enforcing, and blocking unsafe actions.
Defines and measures structural integrity for agents to operate safely.
The Agent Access Security Broker for AI coding agents.
AI-powered data intelligence platform with zero trust agent architecture.
Internal agent platform for security and compliance conscious companies.
Secures AI agents at the endpoint where prompt injection and autonomous action converge.
Centralized, API-first GenAI security and guardrails platform.
Agentic AI Security platform for enterprises to secure AI agents, MCPs, and LLMs.
AI Control Plane for runtime governance and automated remediation.
Protects AI agents at runtime with a Guardian Agent that detects rogue behavior.
Embedded governance kernel with execution tokens and tamper-evident audit trails.
Govern the AI agent workforce. Discover, assess risk, enforce guardrails.
Runtime authorization for AI agents with least-privilege tool calls, scoped credentials, audit trails, and instant revocation.
Runtime governor for regulated workflows: specify, deploy, govern, and certify agentic operations.
Enables organizations to securely expose enterprise context to internal agents, copilots, and AI workflows through an identity-aware control layer that governs access, reduces risk, and centralizes oversight.
Tuent's Sentinel program catches AI agents the moment they go off-script, before damage hits production.
Context-aware AI security platform for runtime guardrails, automated red teaming, and agent/tool risk visibility.
A Data Security and Compliance Layer for Enterprise AI. Every query inspected, scored, and logged in real time.
Open-source MCP traffic capture for stdio-transport servers. Tamper-evident HMAC-chained audit log with companion credential vault coffer-mcp.
Levo is the runtime governance layer for APIs, AI agents, and MCP servers — deployed via eBPF in hours, with no code or network changes.
Agent-native, purpose-based, access control and runtime monitoring for ai agents across SaaS, cloud, and endpoint.
Intent & Behavior-based Access Control (IBAC) for every agentic action, at runtime.
Discover, monitor, govern, and defend autonomous agents everywhere they operate - across SaaS, endpoints, and shadow environments.
Cryptographic per-action authorization for AI agents — tamper-evident receipts, identity binding, and memory provenance.