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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.
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90 % |
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Enterprise AI Control Plane | MCP Gateway & Agent Identity | Contro1
Enable agents across your organization with Contro1: MCP gateway, agent identity, ownership, scoped access, human approvals, and audit trails.
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89 % |
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Kelhe — The runtime control point for AI agent actions
Most AI agents never leave the pilot because no one can trust what they'll do in production. Kelhe scores every action your agents take — before it runs — an...
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89 % |
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Difinity | Governed AI Agents for Regulated Industries
Build governed AI agents on Difinity.ai for healthcare, insurance and financial services, with just-in-time authority, runtime policy enforcement and evidenc...
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89 % |
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AI Agent Gatekeeper: Your Agents Act, You Stay in Control | Clawvisor
Your AI agent needs access to your email, calendar, and code. Clawvisor makes sure it stays on track. Purpose verification, credential vaulting, and audit lo...
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89 % |
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AgentSnap: governance control plane for financial AI agents
AgentSnap sits in front of every action your AI agents take with money, customers, or records. Each action is decided as ALLOW, DENY, or HOLD for a human in...
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89 % |
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TraceMem | Everything your agents touch, governed
Verified identity, PII protection, governed data access, model gateway, policy and an append-only decision trace. One self-hosted product that runs inside yo...
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88 % |
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Me Runtime — the gatekeeper for your AI agents
Independent authorization layer for AI agents. The agent proposes, Me Runtime authorizes: green, yellow or red.
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88 % |
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TraceMem | Everything your agents touch, governed
Verified identity, PII protection, governed data access, model gateway, policy and an append-only decision trace. One self-hosted product that runs inside yo...
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88 % |
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Xmore AI | AI Agent Security Assessment and Remediation
Test enterprise AI agents for over-broad permissions, unsafe tool use, prompt-injection exposure and data leakage, then implement and verify the fixes.
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88 % |
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TruClaw - Cryptographic Human Consent for Agents
Autonomous agents need human supervision for risky actions. Money transfers, payments, some git actions, shell actions, external data transfers etc are some...
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88 % |
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Vaii — decide what your agents may do
Vaii is the control plane between any AI agent and any consequential action. One policy, one audit trail, across every vendor you run — and nothing to rip ou...
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88 % |
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AgentGuard - Governance Layer for AI Agent Systems
AgentGuard logs every AI agent decision, traces every change, and routes risky actions to your approval queue.
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88 % |
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Vaii — decide what your agents may do
Vaii is the control plane between any AI agent and any consequential action. One policy, one audit trail, across every vendor you run — and nothing to rip ou...
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88 % |
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Rulehook | Secure AI policy automation
Rulehook provides secure policy hooks, approvals, and audit trails for every AI agent action.
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88 % |
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ctx Consulting · Autonomous AI agents with no security gaps
ctx Consulting embeds autonomous AI agents into your operations inside an isolated architecture: credentials held outside the agent, every outbound call chec...
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87 % |
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Upivia - The control layer for AI agents
Set dollar budgets, permissions, and approvals for AI agents. 60 operations across 27 services through one governed endpoint. Every request is policy-checked...
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87 % |
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Veto: Stop risky AI actions before they happen
Runtime authorization for AI agents. Enforce policy before agents move money, expose data, change records, or contact customers by separating technical capab...
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87 % |
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Zahara — Put AI agents to work. With confidence.
Zahara is the missing piece between trying agents and trusting them. Give your agents clear limits, route the big decisions to the right person, and keep pro...
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87 % |
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Ongil AI | The Accountability Engine
We prevent AI agents from making decisions they haven't been proven to handle. Patent-pending decision verification. Compliance evidence generated during build.
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87 % |
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