AgentGuard

Overview

AgentGuard is a governance middleware layer that sits between AI agents and their actions, ensuring every automated decision meets configurable confidence thresholds before execution. It provides real-time monitoring, automatic escalation to human reviewers, and comprehensive audit trails.

Problem

As AI agents take on more autonomous decision-making in enterprise environments, organizations need a way to maintain oversight without bottlenecking every action. The challenge is building a governance layer that's strict enough to prevent harmful decisions but flexible enough to not defeat the purpose of automation.

Approach

Built as a modular middleware that intercepts agent outputs before they execute. Each decision is scored against configurable confidence thresholds. Low-confidence decisions are routed to human reviewers via a clean dashboard. Every decision — approved, escalated, or rejected — is logged with full context to a SQLite database for audit compliance.

Tech Stack

Results

Currently in active development. Core confidence scoring engine and human oversight routing are functional. Building out the audit dashboard and integration adapters for major agent frameworks.