| Status | Meaning | Requirements |
|---|---|---|
| CONFORMANT | Product satisfies AARM specification requirements | Complete testing protocol, verify R1-R7 (Core) or R1-R9 (Extended) |
| ALIGNED | Building in the same problem space | Working on runtime action security, self-declared |
Companies
Enterprise governance platform for AI agents and MCP servers. Real-time observability, security controls, and compliance for agent infrastructure.
The easy and secure way for people and agents to use MCP. Autonomous runtime security for modern AI infrastructure.
Agentic AI governance and security gateway for enterprises. Centralized policy enforcement, full audit trails, and compliance controls for every AI agent and MCP connection across your organization.
Repello delivers end-to-end security for autonomous AI systems through continuous discovery, automated red teaming, and adaptive runtime protection.
Agentic Access Management for fast-moving companies. Control access to every app and AI agent while enabling your teams.
Enforcement layer for agents that blocks malicious or accidental actions before data leaks or regulatory violations.
DecisionGuard provides pre-execution assurance for automated and AI-driven systems. It records intent, evaluates context and risk, and produces audit-ready verdicts before changes execute.
A local, Rust-based runtime firewall for AI agents. Acts as the mediation layer to intercept and block dangerous tool calls in real-time.
Clevr Security authorizes AI agent actions in real time by evaluating intent and business context, applying allow/deny/step-up approvals with audit-ready receipts.
Assury MoCoP is a self-hosted runtime control plane that enforces AARM-conformant policy over AI agent actions. Deployed as a proxy between agents and tools, it intercepts tool calls, evaluates them against OPA/Rego policy, applies risk scoring, and emits tamper-evident audit logs to SIEM.
Runtime enforcement platform for AI agents. Evaluates and authorizes agent actions before execution using identity-aware policy controls, generating compliance-grade audit receipts.
Runtime security platform that gives teams deterministic control over autonomous agents in production.
Dev tool giving control and visibility over their agents and their MCP actions.
AI Security and Governance for laptops
How to Get Listed
AARM Conformant
- Satisfy all MUST requirements (R1-R7) as defined in the Conformance Requirements
- Complete the Testing Protocol and provide evidence
- Submit verification results via GitHub
AARM Aligned
- Your product addresses one or more aspects of the AI runtime security problem
- Submit a brief description of what you’re building
- No conformance testing required