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Runtime Authorization for AI Agents | Cirvix
Cirvix is the runtime authorization layer for AI agents — every consequential action is evaluated against identity, policy, and context before execution.
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86 % |
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Runtime Guard - Any agent. Your rules.
Runtime Guard is an open-source MCP security layer for AI agent policy enforcement, runtime security, and destructive command protection. Runs local with no...
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85 % |
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Execution Control Layer for AI Agents | Runplane
Runplane sits between AI agents and execution, wrapping tool calls with guard() and enforcing decisions at runtime. SDK-first integration for policy enforcem...
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85 % |
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Fuse AI | Block unsafe agent actions before execution
Fuse AI is a local-first runtime and diagnostic layer that checks AI agent tool actions before they hit APIs, files, databases, email systems, payment system...
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85 % |
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Verify AI agent actions before tools run | ActionRail
ActionRail by ToolJet is an open-source runtime enforcement layer for AI agents. Check proposed tool calls against policy and live systems of record before e...
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85 % |
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FortSignal — AI Agent Governance & Execution Security | Multi-Sig Passkey Approvals
Governance layer for agentic systems. Cryptographic intent binding, M-of-N hardware passkey approvals (WebAuthn, FIDO2, YubiKey-ready), deterministic policy...
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84 % |
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MCP Gateway & AI Agent Authorization | Endram
Control AI agent and MCP tool calls with identity-aware policy, human approvals, one-use grants, and signed evidence.
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84 % |
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OrchSec | Runtime Firewall and Continuous Red-Teaming for AI Agents
OrchSec red-teams autonomous AI agents, turns verified findings into reviewed runtime policies, and blocks unsafe MCP calls, API requests, file access, and s...
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84 % |
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ProvnAI | AI Agent Security, MCP Proxy, Governed Execution
Secure AI agent actions at the MCP boundary with routed tool-call protection, governed execution, and verifiable evidence. Start with open-source McpVanguard.
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84 % |
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Edictum — Runtime Governance for AI Agents
Open-source runtime governance for AI agents. Check actions before tools execute: allow, block, ask for approval, and record every decision.
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84 % |
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ConsentGuard SDK | Enterprise Governance for AI Agents
Add explicit consent, RBAC, and immutable audit trails to any AI agent in under 60 seconds. Built for fintechs, banks, and regulated industries.
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84 % |
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Runtime Security for AI Agents | InferenceFort
Stop unsafe AI agent actions before execution. InferenceFort governs model and tool calls, blocks prompt injection, protects sensitive data, and provides aud...
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84 % |
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Pramiti Labs — The Action Layer for AI Agents
Deterministic control for AI agents. Praxom validates every agent action before it executes — even when the model is compromised — and signs the evidence. Fa...
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84 % |
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IntentChain — The Execution Rail for High-Risk AI Actions
IntentChain is the execution rail for high-risk AI agent actions. Signed single-use permits, protected gateway execution, agent-safe credential mediation, an...
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84 % |
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Shrike | Action Governance for AI Agents
Ship AI agents that act — safely. Your policy enforced on every tool call, command, SQL query, and A2A message before it runs. 9-layer engine. Free tier.
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83 % |
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RuleOak — Verifiable software and resilient engineering
RuleOak builds verifiable, resilient, local-first software and open-source systems with explicit authority and evidence boundaries.
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83 % |
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Stacksona | Human Control for AI Agents
Stacksona Gate provides end-to-end review operations for AI agents: deterministic policy, human approvals, and audit evidence inside your own cloud.
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83 % |
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GeraGuard — Independent security control for AI agents
GeraGuard identifies AI agents, limits which data and systems they can access, stops dangerous actions before execution, and proves what happened. Built for...
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83 % |
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ragprov — AI Governance Infrastructure
The runtime layer that governs what AI agents are allowed to do — before they do it — with cryptographic proof.
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83 % |
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ActaMeshAI | Accountability for Enterprise Agents
Put policy, approvals, scoped credentials, and evidence between enterprise AI agents and the tools they use.
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83 % |
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