Introduction

tRadar is t54's AI-native compliance and risk management framework—designed to bring trust, auditability, and guardrails to agent-initiated financial activity. Built as a network of Validator Agents, tRadar inspects every payment transaction before execution, providing institutional-grade security for autonomous finance.

What is tRadar?

tRadar is a real-time risk engine that marshals a committee of AI validator agents to scrutinize each payment transaction. Rather than relying on a single gatekeeper or fixed rules, tRadar uses multiple independent validators that analyze transaction context, agent behavior, and risk patterns to reach consensus on whether transactions should proceed.

The system provides validators with complete reasoning context—including the agent's decision process, function calls, and environmental data—enabling sophisticated risk assessment that goes far beyond traditional rule-based systems.

Key Features

tRadar delivers comprehensive risk management through four core security layers:

• Rule-Based Pre-Screening - Lightweight rule engine for initial checks on transaction limits, frequency patterns, and known risk indicators
• Validator-Agent Network - Committee of independent AI validators using diverse models to analyze transaction legitimacy and safety
• Dynamic Consensus - Weighted voting system where validator influence is based on performance history, stake, and reliability metrics
• Challenge Mechanism - Interactive escalation system that requests additional information from agents when consensus is uncertain