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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.
|
87 % |
|
StraxisWall — Permission Checkpoint for AI Agents
StraxisWall is a permission checkpoint for AI agents. One API call before any sensitive action — your rules enforced, every decision logged.
|
87 % |
|
DriftGard — Agent Assurance for every release.
Test AI agents against reviewed business expectations, compare releases and catch regressions. Extend governance into execution with DriftGard Runtime.
|
86 % |
|
EverHarden — Know what your support agent can approve
Review the rules around your support agent's refunds and account changes. Find gaps, understand what needs approval, and plan the next fix.
|
86 % |
|
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...
|
86 % |
|
Rulehook | Secure AI policy automation
Rulehook provides secure policy hooks, approvals, and audit trails for every AI agent action.
|
86 % |
|
GrubX | Runtime Action Firewall for AI Agents
GrubX checks every AI agent action, including MCP tool calls, API requests, and SaaS operations, against your policy before it executes. Allow, block, or req...
|
85 % |
|
gatekeep
Governance for AI agents
|
85 % |
|
AI Apps, Agents, MCP Servers & Custom Models · evaloha
evaloha is an AI software company. We build web, mobile, Mac and Windows apps, AI agents, bots and MCP servers, and our own models when a problem needs one.
|
84 % |
|
Decree
Centralized approval workflows for AI agents and automation.
|
84 % |
|
Sarthak Gupta | Give AI agents real work, not unchecked power
I build the control layer that decides what your AI agents are allowed to do in production, before they act. Policy-checked, human-gated, fully logged.
|
84 % |
|
TracingAPI — Action receipts for AI agents
Action receipts for AI agents—clear, structured records of what automated systems did, when they did it and whether a human approved the action.
|
84 % |
|
Geometer — The trust layer for AI agents
Geometer finds the paths by which your AI agent can break a business rule before release, checks its actions against the same rule in production, and records...
|
84 % |
|
Verifiable AI Agent Controls | PreFlight by ICME Labs
Verifiable AI agent controls. PreFlight checks every agent action against your rules before it runs, blocks violations, and issues a cryptographic receipt a...
|
84 % |
|
ActPass: stop risky AI agent actions before they execute
ActPass sits between your AI agents and their tools: every risky action gets a deterministic, signed allow/deny decision and a tamper-evident audit trail.
|
84 % |
|
APAAI - AI Agent Governance Platform
Ready to control and audit AI agents - built for enterprises
|
84 % |
|
Agent Action Firewall - AI Agent Security Platform
Enterprise security layer for AI agents. Control what your AI agents can do with policy-based governance, human approval workflows, and tamper-evident audit...
|
84 % |
|
ACGS - Control what your AI agents can do
Set boundaries for AI agent tool calls, Python actions, and cloud plans. Explore local evaluation guides, decision outcomes, and source-backed product evidence.
|
84 % |
|
Veras | AI-Powered Action Control API
Use AI and one API to control messaging, content, purchases, payouts, and sensitive account actions.
|
84 % |
|
Sentrik — Authorization Infrastructure for AI Agents
Sentrik decides what an AI agent is allowed to do — before it acts. Every consequential action is checked against your policy and authority, then recorded.
|
84 % |
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