WhatA security layer that monitors, logs, and enforces policies on everything an AI coding agent does — file changes, command execution, network calls, credential access — with mandatory human approval for dangerous actions.
SignalDevelopers report genuine anxiety about agents running scripts, wiping databases, and leaking AWS credentials — the current model of blindly accepting agent-proposed actions is creating real security incidents that erode trust.
Why NowAI agents are now routinely executing shell commands, running deployments, and accessing infrastructure — the blast radius of a single bad agent decision has expanded from 'wrong code in a file' to 'production database wiped.'
MarketEnterprise dev teams and security-conscious startups; $15-40/seat/month; no dedicated player exists — current solutions are ad-hoc sandboxing and hoping for the best.
MoatPolicy library built from real incident patterns across thousands of agent sessions becomes a unique safety dataset; enterprise compliance certifications (SOC2, etc.) create sticky switching costs.
Over-editing refers to a model modifying code beyond what is necessaryView discussion ↗ · Article ↗ · 388 pts · April 22, 2026
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