Verdicter
Firewall for AI Agents
Verdicter launched on June 25, 2026 with 4 votes, #3,322 of 22,647 launches that month and more than 75% of that year's launches.
What it does
Stop dangerous AI agent actions before they execute. Policy enforcement, prompt injection protection, human approvals, and compliance evidence in one SDK.
If an LLM's output ever becomes a real action - a tool call, a database write, an email - Verdicter enforces what it's allowed to do before it happens.
Intercept every tool call before it executes. Enforce runtime policies with ALLOW, DENY, or ESCALATE - in milliseconds. Edit the arguments. The engine re-evaluates every change - these are real verdicts, not canned responses. Drop the amount below $1,000 and verify the payee to get an ALLOW. This is a demo of the policy engine, not the product itself - the real Verdicter is an SDK you install in your own agent, plus a dashboard for policies and audit trails. Try your own prompt Add @verdicter/sdk (npm or pip) to your agent's codebase. A few lines, no infrastructure to run. Define what your agents can and can't do - in the dashboard or in code. Test them in the sandbox first. Verdicter…from verdicter.dev
Does a similar job
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AgentFirewallAug 2026 · agentfirewall.launchreadyal.com · ▲3Project AI agents from unsafe actions before they execute.
RunwallJul 2026 · runwall.vercel.app · ▲9A Runtime security layer that lets AI agents execute safely
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